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Journal articles on the topic 'Road traffic management and control'
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1
Козлов, Вячеслав, Vyacheslav Kozlov, Алексей Скрыпников, Aleksey Skrypnikov, Елена Микова, Elena Mikova, Роман Могутнов, Roman Mogutnov, Евгений Чирков, and E. Chirkov. "FORMATION OF THE MODEL OF DESIGNING THE SYSTEM "ROAD CONDITIONS - TRANSPORT FLOWS" AND WAYS OF ITS IMPLEMENTATION." Forestry Engineering Journal 8, no. 1 (March 19, 2018): 104–11. http://dx.doi.org/10.12737/article_5ab0dfbe6ece23.91630316.
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A model for managing the system "road conditions - traffic flows" is proposed that allows to ensure the functioning of the complex "driver - car - road - environment" in any weather and climate conditions. The analysis of the proposed model and target functional shows that optimization of the "road conditions - traffic flow" system can proceed in many directions, the main of which are: optimal development and placement of the network of forest roads, improving their technical level and level of maintenance, road engineering equipment , efficient traffic management, excluding the rational distribution of forest traffic on the network of forest roads and the management modes on individual logging roads and sections of forest roads. The developed model makes it possible to carry out a theoretical analysis and experimental verification of the interaction between «driver-car-road-environment" system in order to identify the reserves of increasing efficiency of its operation and purposeful management of this process. Transport-operational characteristics of logging roads are the main factors that shape the conditions of timber transport on the road, mode, convenience and safety of traffic and determine the efficiency of road transport, and connections of many characteristics of roads with the traffic modes have deterministic, corrective character. These patterns are the basis for the development of technical requirements for logging roads. The proposed model for integrated creation and management of the functioning of a forest road may already be implemented. However, the design of roads is expedient to provide complex control engineering and organizational measures to ensure the estimated traffic conditions during the whole period of operation of the road, regardless of the time of year and weather and climate conditions. Evaluation of the effectiveness of taken decisions should be made with mandatory consideration for ensuring the required performance of logging road in adverse periods of the year and in difficult weather conditions
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Tian, Xiao Wei. "Road Traffic Light Control System Analysis and Design." Advanced Materials Research 1079-1080 (December 2014): 1002–5. http://dx.doi.org/10.4028/www.scientific.net/amr.1079-1080.1002.
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PLC as a kind of widely used industrial control equipment, is now increasingly used in traffic lights system, which can realize the automatic control of a traffic signal system, shortening the time of waiting vehicles, realize scientific management. In the design of this article, but also introducing EDA simulation crossroads traffic lights ablaze and vehicle traffic, very vividly shows the practical application of PLC in the traffic light system. This article is built on a typical intersection traffic research investigation, and PLC controller to realize intelligent control of road traffic signal lamp.
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Kurzhanskiy, Alex A., and Pravin Varaiya. "Active traffic management on road networks: a macroscopic approach." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 368, no. 1928 (October 13, 2010): 4607–26. http://dx.doi.org/10.1098/rsta.2010.0185.
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Active traffic management (ATM) is the ability to dynamically manage recurrent and non-recurrent congestion based on prevailing traffic conditions in order to maximize the effectiveness and efficiency of road networks. It is a continuous process of (i) obtaining and analysing traffic measurement data, (ii) operations planning, i.e. simulating various scenarios and control strategies, (iii) implementing the most promising control strategies in the field, and (iv) maintaining a real-time decision support system that filters current traffic measurements to predict the traffic state in the near future, and to suggest the best available control strategy for the predicted situation. ATM relies on a fast and trusted traffic simulator for the rapid quantitative assessment of a large number of control strategies for the road network under various scenarios, in a matter of minutes. The open-source macrosimulation tool A urora R OAD N ETWORK M ODELER is a good candidate for this purpose. The paper describes the underlying dynamical traffic model and what it takes to prepare the model for simulation; covers the traffic performance measures and evaluation of scenarios as part of operations planning; introduces the framework within which the control strategies are modelled and evaluated; and presents the algorithm for real-time traffic state estimation and short-term prediction.
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Song, Rui, and Ke Fei Yan. "Characteristics Analysis and Model Application of Traffic Speed-Volume Relationship in Urban Elevated Roads." Advanced Materials Research 532-533 (June 2012): 871–75. http://dx.doi.org/10.4028/www.scientific.net/amr.532-533.871.
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Based on survey data selected from detecting coils locating in Shanghai inner loop elevated roads, speed-volume relationship charts were plotted. Some characteristics were selectively analyzed in certain traffic and road conditions such as traffic speed-volume variety characteristics of different lanes in same road section and traffic speed-volume relationship comparison of same lane in different road sections. Finally, statistics models were built to do further study with application of these traffic characteristics. This study can provide reference for traffic design, management and control projects.
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Cafiso, Salvatore, Carmelo D’Agostino, Mariusz Kiec, and Sylwia Pogodzinska. "Application of an Intelligent Transportation System in a Travel Time Information System: Safety Assessment and Management." Transportation Research Record: Journal of the Transportation Research Board 2635, no. 1 (January 2017): 46–54. http://dx.doi.org/10.3141/2635-06.
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The research presented here evaluated road safety on the road sections included in the Intelligent Traffic Control System of the Podhale Region (ISSRRP) in Poland. This travel time information system consists of a remote traffic microwave sensor, cameras, as well as automatic plate number recognition on national roads with variable message signs and a mobile app to suggest alternative routes in the regional road network. The study analyzed changes in safety caused by transferring traffic volume from national to regional rural and suburban road networks. The assessment of the safety performance was performed with an empirical Bayes study, with periods of three years before and after the implementation of ISSRRP. No changes were identified in the safety performance of the national road network after to the introduction of ISSRRP. However, when the overall network is considered, a potential increase in the number of crashes may be expected, depending on the volume of traffic transferred from national to regional roads, and rural or suburban areas. Therefore, a new approach for system management was proposed, taking into account not only improvement in traffic flow, but also safety performance.
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van Katwijk, R. T., P. van Koningsbruggen, B. De Schutter, and J. Hellendoorn. "Test Bed for Multiagent Control Systems in Road Traffic Management." Transportation Research Record: Journal of the Transportation Research Board 1910, no. 1 (January 2005): 108–15. http://dx.doi.org/10.1177/0361198105191000113.
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A test bed for multiagent control systems in road traffic management is presented. As the complexity of traffic control on a network grows, it becomes more difficult to coordinate the actions of the large number of heterogeneous traffic management instruments that are available in the network. One way of handling this complexity is to divide the coordination problem into smaller coherent subproblems that can be solved with a minimum of interaction. Multiagent systems can aid in the distribution of the problem (over the various agents that compose the multiagent system) and facilitate the coordination of the activities of these agents when required. In the literature, no consensus exists about the best configuration of the traffic-managing multiagent system and how the activities of the agents that compose the multiagent system should be coordinated. The decomposition of a problem into various subproblems is an active field of research in the world of distributed artificial intelligence. A survey of approaches reported in the literature is presented. Subsequently, both the test bed and the modules that compose it are introduced. Finally, an application is presented that illustrates some of the research the test bed has made possible.
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Suleimen, A. А., G. B. Kashaganova, G. B. Issayeva, B. R. Absatarova, and M. C. Ibraev. "OPTIMIZATION OF MANAGEMENT OF URBAN LIGHTS WITH THE USE OF NEURAL NETWORKS." BULLETIN 389, no. 1 (February 10, 2021): 14–17. http://dx.doi.org/10.32014/2021.2518-1467.2.
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One of the most pressing problems of large cities is the problem of traffic management of vehicles. The reason for this problem is an imperfect way to manage traffic flows. Traffic light regulation is of particular importance in traffic management. Most modern traffic light control systems operate at set time intervals and are not able to cope with the constantly changing situation on the road. A promising direction for solving this problem is to optimize the system using artificial neural networks. The advantage of neural networks is self-learning, which allows the system to adapt to the changing situation on the road. Despite numerous attempts, it has not yet been possible to obtain a high-quality mathematical model of urban traffic management. This model should determine the functional dependence of transport flow parameters on control parameters. Nowadays, traffic flows are regulated everywhere by means of traffic lights. If we can get a fairly accurate mathematical model of traffic flows, we can determine the optimal duration of the traffic signal phases to achieve the maximum capacity of the road network node. A fairly accurate mathematical model of traffic management that works in predictive mode will display an estimate of the optimal control parameters, as well as make correct decisions in emergency situations. Well-known mathematical models of road traffic take into account only the average values of traffic flows, and not the exact number of cars on each road section at a particular time.
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Budzyński, Marcin, and Kazimierz Jamroz. "Safety management of the existing road network." Budownictwo i Architektura 13, no. 4 (December 9, 2014): 083–90. http://dx.doi.org/10.35784/bud-arch.1721.
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The objective of road infrastructure safety management is to ensure that when roads are planned, designed, built and used traffic accident risks can be identified, assessed and mitigated. There is a number of approaches, methods and tools for road safety infrastructure management. European Union Directive 2008/96/EC regulates and proposes a list of tools for managing road infrastructure safety. The paper presents two of these tools - classification of dangerous sections and control of the infrastructure in the field of safety. The final section presents the necessary directions for further action, particularly scientific research, supporting the management of the existing road infrastructure.
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Čabarkapa, Milenko. "Inclusive road infrastructure safety management in the settlement: An approach to improving the safety of vulnerable road users." Tehnika 75, no. 6 (2020): 777–81. http://dx.doi.org/10.5937/tehnika2006777c.
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In the last ten years, there has been a stabilization of traffic fatalities on the roads of the world. At the same time, the death toll of persons in the armor of vehicles was reduced, and the death toll of persons outside the armor of vehicles-vulnerable road users continued to grow. The most endangered are motorcyclists, then pedestrians and finally cyclists, both in developed countries of the European Union and in underdeveloped and developing countries. Lagging behind in reducing the fatalities of vulnerable road users requires innovation in research and the creation and implementation of new road safety management policies. In this aspect, inclusive road infrastructure safety management in the settlement can be a paradigm for the introduction and implementation of protection of vulnerable road users, persons with reduced mobility and persons with disabilities, through procedures to control road safety in the settlement, at all stages of the road life cycle: planning, design, construction and exploitation. The content of inclusive road infrastructure safety management in the settlement should include all areas of activity and all elements of the roads of the settlement, the improvement of which can raise the level of traffic safety of all users, so that the roads of the settlement are equally safe for all road users. At the same time, the risk of fatal traffic accidents on the roads of the settlement is indirectly exponentially related to the scope of the content of inclusive road infrastructure safety management in the settlement.
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Kalyan, G. "Design and Development of Traffic Control System using Image Processing." International Journal for Research in Applied Science and Engineering Technology 9, no. VI (June 30, 2021): 3247–52. http://dx.doi.org/10.22214/ijraset.2021.35806.
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Traffic congestion is now a big issue. Although it seems to penetrate throughout the world, urban towns are the ones which are most effected. And it is expanding in nature that it is necessary to understand the density of roads in real time to better regulate signals and efficient management of transport. Various traffic congestions, such as limited capacity, unrestricted demand, huge Red Light waits might occur. While insufficient capacity and unlimited demand are somehow interconnected, their delay in lighting is difficult to encode and not traffic dependant. The necessity to simulate and optimise traffic controls therefore arises in order to better meet this growing demand. The traffic management of information, ramp metering, and updates in real-time has been frequently used in recent years for image processing and monitoring systems. An image processing can also be used for the traffic density estimation. This research describes the approach for the computation of real-time traffic density by image processing for using live picture feed from cameras. It focuses also on the algorithm for the transmission of traffic signals on the road according to the density of vehicles and therefore aims to reduce road congestion, which reduces the number of accidents.
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Yang, Xin, Juncheng Chen, Mantun Yan, Zhao He, Ziyan Qin, and Jiandong Zhao. "Regional Boundary Control of Traffic Network Based on MFD and FR-PID." Journal of Advanced Transportation 2021 (September 3, 2021): 1–12. http://dx.doi.org/10.1155/2021/9730813.
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In recent years, urban traffic congestion has become more serious and the capacity of roads has declined, resulting in frequent traffic accidents. In order to effectively alleviate the traffic congestion of the regional road network, aiming at the problem of lack of accurate OD data of the road network, a regional boundary control method of the traffic network based on fuzzy RBF neural network PID (FR-PID) is proposed by combining the theory of macroscopic fundamental diagram (MFD). Firstly, based on the traffic survey, the simulation model of the study area is built, and the basic data such as the traffic flow and the time occupation rate of each road section are obtained. Secondly, the simulation data are used to test the existence of MFD in the road network, and the controlled area is defined. Then, the vehicle change model of the road network area is established. Then, in view of the problem of poor adaptive ability of traditional PID control, the FR-PID control structure is designed. Finally, an example is verified by VISSIM software. In the simulation, different control methods are used for comparison and verification, and the simulation results are analyzed. The results show that the control effect of the proposed method is better than that of the traditional method, and the regional average accumulative vehicle number, regional average completed volume, regional accumulative delays, and total vehicle travel time are optimized by 28.21%, 41.19%, 27.06%, and 32.73%, respectively. The research results can provide reference for the management of urban congestion, thereby reducing the number of traffic accidents and improving urban traffic safety.
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Abramova, Liudmyla, Yevhen Nahornyi, and Henadii Ptytsia. "Structure of transformation of the road motion parameters in the control system." SHS Web of Conferences 67 (2019): 05001. http://dx.doi.org/10.1051/shsconf/20196705001.
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Over the past decades, the world has witnessed an increase in the number of vehicles. According to the accident analysis and to the existing transport problems, the development of automated traffic control systems using adaptive management methods is the most optimal way to improve road traffic quality. From the technological point of view, the system must function according to the requirements for the traffic flow level and to the assessment of traffic efficiency, so a clear comparison of systems is impossible under the conditions of various principles for identifying managerial impacts and the designation of management system. The authors’ analysis of the most commonly used traffic management technologies proves that experts choose the system architecture that affects its functions and the ability to implement one or another method of management. In accordance with the ITS approach and management tasks at each hierarchy level, we believe that the traffic management system of the intelligent transport system should be based on the principle of multi-level architecture using ring Ethernet technologies, which corresponds more to the diamond-shaped system structure; it allows to distribute methods of traffic management for purposes and to separate the informational and technological elements of the system.
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Mi, Jiang, Yuelong Bai, Mingbo Luo, Hui Wang, and Minrui Chen. "Microscopic Estimation of Road Impedance by Decomposing Traffic Delay into Individual Road Segments: An Analytical Approach." Mathematical Problems in Engineering 2019 (May 2, 2019): 1–11. http://dx.doi.org/10.1155/2019/3285498.
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Urban road dynamic impedance calculation is the important basis of dynamic traffic assignment and real-time traffic management and control scheme. The current impedance calculation is mostly based on BPR function, and the BPR function is derived from macroscopic statistical laws, in which the microscopic characteristics of traffic flow are insufficiently described. In order to more accurately express the change laws of traffic impedance at the microscopic level, a stochastic dynamic traffic assignment algorithm based on road impedance function is designed to analyze the time impedance of congested roads under random dynamic traffic assignment under different conditions of road network saturation. Compared with the current model, the comprehensiveness and portability are greatly improved. The results show that the impedance calculation error of this method is less than 10% when the load degree of the road is lower than 0.85, which proves that the method has good precision under unsaturated flow conditions.
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Chen, Da Shan. "Characteristic Parameters Identification of Macro Traffic Flow on Urban Expressway." Applied Mechanics and Materials 409-410 (September 2013): 1209–12. http://dx.doi.org/10.4028/www.scientific.net/amm.409-410.1209.
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The macroscopic traffic flow parameters characteristic is an important research content in traffic flow theory. Urban expressway plays an important role in the urban road network. It is gradually shifting from large-scale infrastructure-oriented to refinement of traffic management. With the growing of traffic demand and much more traffic congestion and accidents, integrated active traffic management should be involved in urban expressway management on the back ground of car-road coordination. As the backbone road network, traffic flow characteristic parameters have great value for the control and management of urban expressway. Then the characteristic variables of the expressway traffic flow were identified which support meticulous management for urban expressway.
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Xing, Xue. "Bottleneck prediction of urban road network based on improved PSO algorithms and fuzzy control." Journal of Intelligent & Fuzzy Systems 39, no. 4 (October 21, 2020): 5833–43. http://dx.doi.org/10.3233/jifs-189059.
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Traffic bottleneck refers to the road section or node that often causes the propagation or spread of traffic congestion in the road network, which is the source of the whole road network congestion. In this paper, the author analyzes the bottleneck prediction of urban road network based on improved PSO algorithms and fuzzy control. This paper analyzes the factors and characteristics of the main road of the system, proposes the traffic coordination control of the main road based on the delay model, and carries on the statistical simulation to the actual traffic data, develops the basic theory of the traffic coordination control which is more effective than the traditional timing control strategy. Compared with the traditional model, the algorithm considers the waiting time of the red light at the intersection. For the congested road section, it can better calculate the travel time of the vehicle, making the results more accurate and more applicable. The results of this study can provide a strong theoretical basis and prediction scheme for the traffic management and control of the road network in the target area.
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Nath, Tushar Deb. "IOT Based Road Traffic Control System for Bangladesh." International Journal of Recent Technology and Engineering 10, no. 1 (May 30, 2021): 60–66. http://dx.doi.org/10.35940/ijrte.e5232.0510121.
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The existing traffic administration policy is not worthy enough to tackle the density of movement in Bangladesh. This study proposes an advanced Internet of Things (IoT) based road traffic administration system to resolve the problem. All the smart lamp posts of road crossings handle four factors, i.e., number of cars, activation time, waiting time, and emergency signal of each lane. This research uses an automatic video processing method to count the number of cars on the road. In order to process the video mask, R-CNN is used, which is a combination of the faster R-CNN that performs object detection (class + bounding box), and Fully Convolutional Network (FCN) results into a pixel border. Modern statistical methods are also used, such as multiple regression analysis, cluster analysis, and factor analysis. For handling emergency traffic situations, a new activation function was proposed and named the RT activation function. Factor analysis with principal component analysis (PCA) allowed in reducing the number of variables from elevens to five. The linear regression explains 90.2% of the variance in the data. This research considers R, R-square, adjusted R-square with 0.950, 0.902, and 0.409, values respectively. The results analysis ensures that the performance of the proposed schema is good enough to apply in the road of Bangladesh.
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Hsu, Tien-Pen, Ku-Lin Wen, and Taiyi Zhang. "Applying Machine Learning to Develop Lane Control Principles for Mixed Traffic." Sustainability 13, no. 14 (July 8, 2021): 7656. http://dx.doi.org/10.3390/su13147656.
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The mixed traffic environment often has high accident rates. Therefore, many motorcycle-related traffic improvements or control methods are employed in countries with mixed traffic, including slow-traffic lanes, motorcycle two-stage left turn areas, and motorcycle waiting zones. In Taiwan, motorcycles can ride in only the two outermost lanes, including the curb lane and a mixed traffic lane. This study analyzed the new motorcycle-riding space control policy on 27 major arterial roads containing 248 road segments in Taipei by analyzing before-and-after accident data from the years 2012–2018. In this study, the equivalent-property-damage-only (EPDO) method was used to evaluate the severity of crashes before and after the cancelation of the third lane prohibition of motorcycles (TLPM) policy. After EPDO analysis, the random forest analysis method was used to screen the crucial factors in accidents for specific road segments. Finally, a classification and regression tree (CART) was created to predict the accident improvement effects of the road segments with discontinued TLPM in different situations. Furthermore, to provide practical applications, this study integrated the CART results and the needs of traffic authorities to determine four rules for canceling TLPM. In the future, on the accident-prone road segment with TLPM, the inspection of the four rules can provide the authority to decide whether to cancel TLPM to improve the accident or not.
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Akinboro, Solomon Adegbenro, Johnson A. Adeyiga, Adebayo Omotosho, and Akinwale O. Akinwumi. "Mobile Road Traffic Management System Using Weighted Sensor." International Journal of Interactive Mobile Technologies (iJIM) 11, no. 5 (July 24, 2017): 147. http://dx.doi.org/10.3991/ijim.v11i5.6745.
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<p><strong>Vehicular traffic is continuously increasing around the world, especially in urban areas, and the resulting congestion ha</strong><strong>s</strong><strong> be</strong><strong>come</strong><strong> a major concern to automobile users. The popular static electric traffic light controlling system can no longer sufficiently manage the traffic volume in large cities where real time traffic control is paramount to deciding best route. The proposed mobile traffic management system provides users with traffic information on congested roads using weighted sensors. A prototype of the system was implemented using Java SE Development Kit 8 and Google map. The model </strong><strong>was</strong><strong> simulated and the performance was </strong><strong>assessed</strong><strong> using response time, delay and throughput. Results showed that</strong><strong>,</strong><strong> mobile devices are capable of assisting road users’ in faster decision making by providing real-time traffic information and recommending alternative routes.</strong></p>
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Goosem, M. "Effects of tropical rainforest roads on small mammals: fragmentation, edge effects and traffic disturbance." Wildlife Research 29, no. 3 (2002): 277. http://dx.doi.org/10.1071/wr01058.
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In north-eastern Queensland, impacts on small mammals of traffic disturbance were compared with those caused by physical presence of rainforest roads by trapping in the rainforest interior and adjacent to narrow, unsealed roads with traffic volumes of 264 ± 71 or 4.2 ± 1 vehicles per day. Of the three small mammal species that were most commonly trapped, the proportion and abundance of native Rattus sp. increased at higher-traffic and decreased at lower-traffic sites; the abundance of Melomys cervinipes was relatively constant at both traffic treatments and in the forest interior, and Uromys caudimaculatus decreased at higher-traffic treatments. Road crossings by the smaller rodents, Rattus sp. and M. cervinipes, were primarily influenced by the presence of the road, rather than increased levels of traffic, as crossings were significantly inhibited at both traffic treatments compared with the forest-interior control and there was no difference between traffic levels. Crossings by the larger, more mobile U. caudimaculatus were unaffected by road presence or traffic level. Therefore, increased traffic volume did not appear to affect small mammal movements or community structure. However, since higher traffic levels were not constant throughout the peak periods for activity of these nocturnal species, further investigations are required to determine whether constant nocturnal traffic disturbance may further restrict road crossings by small mammals and alter community structure adjacent to roads.
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Sowmya, B. "Adaptive Traffic Management System using CNN (YOLO)." International Journal for Research in Applied Science and Engineering Technology 9, no. VI (June 30, 2021): 3726–32. http://dx.doi.org/10.22214/ijraset.2021.35768.
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The huge number of vehicles on the roadways is making congestion a significant problem. The line longitudinal vehicle waiting to be processed at the crossroads increases quickly, and the traditionally used traffic signals are not able to program it properly. Manual traffic monitoring may be an onerous job since a number of cameras are deployed over the network in traffic management centers. The proactive decision-making of human operators, which would decrease the effect of events and recurring road congestion, might contribute to the easing of the strain of automation.The traffic control frameworks in India are now needed as it is an open-loop control framework, without any input or detection mechanism. Inductive loops and sensors employed in existing technology used to detect the number of passing vehicles. The way traffic lights are adapted is highly inefficient and costly in this existing technology. The aim was to build a traffic control framework by introducing a system for detection ,which gives an input to the existing system (closed loop control system) in order to adapt to the changing traffic density patterns and to provide the controller with a crucial indication for ongoing activities. By this technique, the improvement of the signals on street is extended and thus saves time by preventing traffic congestion. This study proposes an algorithm for real-time traffic signal control, depending on the traffic flow. In reality, the features of competitive traffic flow at the signposted road crossing are used by computer vision and by machine learning. This is done by the latest, real-time object identification, based on convolutional Neural Networks network called You Look Once (YOLO). Traffic signal phases are then improved by data acquired in order to allow more vehicles to pass safely over minimal wait times, particularly the line long and the time of waiting per vehicle.This adjustable traffic signal timer is used to calculate traffic density utilizing YOLO object identification using live pictures of cameras in intervals and adjusts the signal timers appropriately, therefore decreasing the road traffic congestion, ensuring speedier transit for persons, and reducing fuel consumption. The traffic conditions will improve enormously at a relatively modest cost. Inductive loops are a viable but costly approach. This method thereby cuts expenses and outcomes quickly.
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Gumerova, Eliza, and Olga Gamayunova. "Control of air pollution caused by vehicular emissions." MATEC Web of Conferences 245 (2018): 12001. http://dx.doi.org/10.1051/matecconf/201824512001.
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Dispersion of air pollutants is caused often by vehicular emissions. It is necessary to define correctly parameters, which influence on emissions. In this article analysis of the parameters and calculations of Saint-Petersburg roads are shown. According to results, measures to improve the air state are defined. Solving of this ecological problem is implementation of development programs of urban public transport, the use of fuel with improved environmental characteristics, the development of electric modes of transport, traffic management methods to increase the capacity of the road and road network in the city.
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Ravish, Roopa, and Shanta Ranga Swamy. "Intelligent Traffic Management: A Review of Challenges, Solutions, and Future Perspectives." Transport and Telecommunication Journal 22, no. 2 (April 1, 2021): 163–82. http://dx.doi.org/10.2478/ttj-2021-0013.
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Abstract Recent years have witnessed a colossal increase of vehicles on the roads; unfortunately, the infrastructure of roads and traffic systems has not kept pace with this growth, resulting in inefficient traffic management. Owing to this imbalance, traffic jams on roads, congestions, and pollution have shown a marked increase. The management of growing traffic is a major issue across the world. Intelligent Transportation Systems (ITS) have a great potential in offering solutions to such issues by using novel technologies. In this review, the ITS-based solutions for traffic management and control have been categorized as traffic data collection solutions, traffic management solutions, congestion avoidance solutions, and travel time prediction solutions. The solutions have been presented along with their underlying technologies, advantages, and drawbacks. First, important solutions for collecting traffic-related data and road conditions are discussed. Next, ITS solutions for the effective management of traffic are presented. Third, key strategies based on machine learning and computational intelligence for avoiding congestion are outlined. Fourth, important solutions for accurately predicting travel time are presented. Finally, avenues for future work in these areas are discussed.
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Gu, Yuan Li, Yun Nan Ma, and Ju Wei Li. "The Quality Control and Evaluation of Road Traffic Flow Data." Advanced Materials Research 838-841 (November 2013): 2092–97. http://dx.doi.org/10.4028/www.scientific.net/amr.838-841.2092.
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Dynamic traffic data quality evaluation can provide reliable data support for the traffic management system. This paper aim at three kinds of common failure data, put forward the traffic flow data quality control methods and process. First time evaluate the data quality in three stages, and each stage respectively for all kinds of ITS detector, and builds the six index system. Finally take Beijing as an example to analyze and verify the method of this paper.
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Shalygin, Mikhail, Sergey Olisov, and Mariya Vasina. "AUTOMATED TRANSPORT-TECHNOLOGICAL SYSTEM OF TRAFFIC MANAGEMENT AND FORMATION OF TRAFFIC PASSAGES." Bulletin of Bryansk state technical university 2021, no. 8 (August 9, 2021): 87–95. http://dx.doi.org/10.30987/1999-8775-2021-8-87-95.
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There is considered a problem of road traffic organization at crossroads under conditions of urban environment and outgoing highways. The urgency of the problem of automated traffic control with the information for vehicle drivers about traffic situation using both navigation systems and warning systems by means of signal transfer to radar-detectors is shown.
The investigation purpose consists in the development of automated self-regulated system of traffic lights control on the basis of vehicle number approaching to the traffic lights and vehicle driver warning about traffic jam approaching for the purpose of its going around.
In the paper there are solved problems regarding traffic capacity of a megapolis traffic system, driver warning about problem road situations and the automation of these processes. On the basis of the theory of automated control there is shown a developed system allowing the formation of a traffic passage by means of driver warning about traffic jam ahead. There are described thoroughly component parts of the system limiting only with the choice of components among prototypes available in the market.
A principle of automated traffic flow control at the crossroads supplied with the traffic lights is shown. There is shown a functional diagram of the interaction of system components for the successful traffic organization. The algorithm of the system automation functioning with its adjustment to certain time intervals of the effect of the enabling traffic light signal at a particular T-shaped or X-shaped intersection is described. The system developed for traffic control at intersections allows relieving considerably city streets. The analysis of the system has shown that traffic lights adaptive control allows decreasing traffic up to 70%. The application of domestic software components decreases system cost by 2-4 times as compared with foreign prototypes which, among other things, do not have the functional offered.
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Ilchenko, O. V., and M. Varava. "LEGAL FRAMEWORK FOR SECURITY OF ROAD TRANSPORT: INTERNATIONAL EXPERIENCE." Legal horizons, no. 19 (2019): 138–43. http://dx.doi.org/10.21272/legalhorizons.2019.i19.p138.
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The article analyzes the introduction of the European experience for ensuring road safety on the highways of Ukraine. The conclusion is made on the feasibility of introducing such an experience in Ukraine. The basic directions, which should promote the creation of a safe, reliable, stable, stable, and regulated system of road safety in modern living conditions are determined. Analysis of the best European practices for the introduction of modern automated road traffic control systems based on the achievements of European colleagues will significantly improve the situation in the field of road safety. The introduction of innovative management technologies, including road traffic, will provide the necessary sustainable development of the economy and society as a whole. Prevention as the main and priority direction of positive European experience such as clarification in mass media, distribution of information brochures, promotion of law-abiding drivers, and conducting of explanatory work with youth will allow reducing the number of offenses on the roads of Ukraine. Because safe roads, this is primarily the conscious, but safe behavior of every participant in the traffic, regardless of age, sex or property status. Already the first work on the part of state authorities is the approval of the government program “Strategy for Enhancing the Level of Road Safety in Ukraine until 2020″, which was approved by the Cabinet of Ministers of Ukraine Resolution No. 481-r of June 14, 2017. The return of the Tricam radar from October 16, 2018, to fix violations of the high-speed regime will improve the control over compliance with traffic rules, which will result from increased security and a reduction in the number of administrative offenses on the roads of Ukraine. The most effective measure aimed at ensuring road safety is the creation of a Safe City project in cities of Ukraine, which is to introduce video surveillance systems to enhance the safety of road users, control the operation of public utilities, and manage city traffic. Already in some cities, electronic surveillance systems are in place that recognizes the driver’s face and vehicle numbers. Cooperation with operational units of the Ministry of Internal Affairs, Security Service, and Ministry of Emergencies has been established. Keywords: safety, road traffic, transport, traffic accident, European experience, speed recorders, automated control systems, analytical and legal support.
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Wan Hussin, Wan Mohd Hafiz bin, Marshima Mohd Rosli, and Rosmawati Nordin. "Review of traffic control techniques for emergency vehicles." Indonesian Journal of Electrical Engineering and Computer Science 13, no. 3 (March 1, 2019): 1243. http://dx.doi.org/10.11591/ijeecs.v13.i3.pp1243-1251.
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<span>Traffic control system play an important role to manage traffic congestion on the road especially during peak hours and peak seasons. One of the main challenges is to control the traffic when there are emergency cases at traffic light intersection especially peak hours. This could affect the route for emergency vehicles such as ambulance, fire brigade and police car to reach their destination. Due to the increase of traffic congestion during peak hours and peak seasons in Malaysia, there is a need for further evaluation of traffic control techniques. This paper reviewed and consolidated information on the different types of the existing traffic control system for road traffic management such as Radio Frequency Identification (RFID), wireless sensor network and image processing. This paper analysed and compared on the design, benefits and limitations of each technique. Through the reviews, this paper recommends the best traffic control technique for emergency vehicle that offers low price, low maintenance and can be used in various areas of applications.</span>
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Kiec, Mariusz, Carmelo D’Agostino, and Sylwia Pazdan. "Impact on Road Safety and Operation of Rerouting Traffic in Rural Travel Time Information System." Sensors 20, no. 15 (July 25, 2020): 4145. http://dx.doi.org/10.3390/s20154145.
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The Travel Time Information System (TTIS) is an Intelligent Traffic Control System installed in Poland. As is common, travel time is the only factor in the decision about rerouting traffic, while a route recommendation may consider multiple criteria, including road safety. The aim of the paper is to analyze the safety level of the entire road network when traffic is rerouted on paths with different road categories, intersection types, road environments, and densities of access points. Furthermore, a comparison between traffic operation and road safety performance was carried out, considering travel time and delay, and we predicted the number of crashes for each possible route. The results of the present study allow for maximizing safety or traffic operation characteristics, providing an effective tool in the management of the rural road system. The paper provides a methodology that can be transferred to other TTISs for real-time management of the road network.
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Sathiyaraj, Rajendran, and Ayyasamy Bharathi. "AN EFFICIENT INTELLIGENT TRAFFIC LIGHT CONTROL AND DEVIATION SYSTEM FOR TRAFFIC CONGESTION AVOIDANCE USING MULTI-AGENT SYSTEM." Transport 35, no. 3 (September 26, 2019): 327–35. http://dx.doi.org/10.3846/transport.2019.11115.
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An efficient and intelligent road traffic management system is the corner stone for every smart cities. Vehicular Ad-hoc NETworks (VANETs) applies the principles of mobile ad hoc networks in a wireless network for Vehicle-to-vehicle data exchange communication. VANETs supports in providing an efficient Intelligent Transportation System (ITS) for smart cities. Road traffic congestion is a most common problem faced by many of the metropolitan cities all over the world. Traffic on the road networks are widely increasing at a larger rate and the current traffic management systems is unable to tackle this impediment. In this paper, we propose an Efficient Intelligent Traffic Light Control and Deviation (EITLCD) system, which is based on multi-agent system. This proposed system overcomes the difficulties of the existing traffic management systems and avoids the traffic congestion problem compare to the prior scenario. The proposed system is composed of two systems: Traffic Light Controller (TLC) system and Traffic Light Deviation (TLD) system. The TLC system uses three agents to supervise and control the traffic parameters. TLD system deviate the vehicles before entering into congested road. Traffic and travel related information from several sensors are collected through a VANET environment to be processed by the proposed technique. The proposed structure comprises of TLC system and makes use of vehicle measurement, which is feed as input to the TLD system in a wireless network. For route pattern identification, any traditional city map can be converted to planar graph using Euler’s path approach. The proposed system is validated using Nagel–Schreckenberg model and the performance of the proposed system is proved to be better than the existing systems in terms of its time, cost, expense, maintenance and performance.
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Kolosok, I. O. "Contributing factors that influence on road traffic’s risk." Naukovij žurnal «Tehnìka ta energetika» 11, no. 3 (November 18, 2020): 75–80. http://dx.doi.org/10.31548/machenergy2020.03.075.
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The level of transport at safety, energy consumption, and impact on the environment in Ukraine do not meet modern requirements. In recent decades, the world has seen a sharp increase in the number of vehicles and an increase in traffic, which leads to a stolen increase in the number of traffic accidents and their negative consequences. There is a whole range of issues that need to be solved, such as high mortality and injury rates as a result of road accidents; a significant part of obsolete vehicles operated by Ukrainian carrier, that is inefficient and harm the environment; the imperfection of the transport safety management system and the absence of a single coordinating body for road safety management, which is the reason for the lack of an integrated system of state road safety management; low level of coordination of actions and institutional capacity of state authorities and local governments to plan and conduct actions in the field of road safety; the imperfection of traffic accident monitoring systems, their statistics, and risk management; ineffective approach in solving the problem of high accident rate and severity of its consequences and creating a scientific basis for activities in the field of road safety; lack of specific measurable goals to increase the level of road safety, the relevant coordinated action plan in this area; unsatisfactory technical condition of a significant number of vehicles and the lack of a system for monitoring the safety of vehicles during their operation; low level of introduction and practical application of the latest technologies and technical means of traffic organization, automated means of control and regulation of traffic; insufficient funding of measures aimed at preventing and reducing the level of accidents, reducing the number of road accidents with real consequences; low level of driver training and lack of effective control over the activities of driving schools; low level of education of the society in the field of road safety, own responsibility and observance of traffic rules, etc. The car has advantages over other types of vehicles: high mobility, relative ease of operation, the ability to deliver passengers and goods "door to door". It is these advantages of the car that are associated with the negative phenomena that accompany motorization where the lack of traffic safety is in the first place. We can name three important characteristics of modern road transport, which determine the low-level of safety: insufficient provision of road transport with appropriate in their parameters roads; insufficient isolation of traffic flows from other road users; mass driver's profession, which causes a low average level of qualification.
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Schürmann, C., D. Geiger, M. Picha, and R. Thomas. "CITY2NAVIGATION (C2N) – A NEW SERVICE FOR DIGITAL, FUTURE-PROOF URBAN TRAFFIC MANAGEMENT." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVI-4/W1-2021 (September 3, 2021): 103–10. http://dx.doi.org/10.5194/isprs-archives-xlvi-4-w1-2021-103-2021.
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Abstract. Digital traffic management solutions are essential for the effective management of the continuing growth of road traffic. However, technical possibilities for implementing traffic management strategies by Traffic Control Centres are limited to a strategic network. At the same time, modern mobility apps from routing services offer road users many options to get informed and guided. The latter usually work independently from traffic management strategies of public authorities. Thus, different route recommendations not only lead to uncertainty of road users, but ultimately to a reduction in the effectiveness of the public traffic management strategies. A direct information exchange between both systems does not yet exist. This however would be a key to more efficient traffic management.City2Navigation therefore developed a technical concept for a nationwide implementation of a digital data exchange service (C2N service) to link public traffic management with routing services of private vendors. This service fills the gap between both group of actors, thereby serving as a crucial building block for digital traffic management in response to the goals of European and national frameworks for Intelligent Transport Systems (ITS).The C2N service not only promotes the cooperation of public authorities with private routing services, it also offers a variety of opportunities to develop new business models. It is a complement to C2C and C2X communication solutions in road transport, ultimately also enabling future possibilities for municipalities to conduct efficient and sustainable traffic management.
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Stathopoulos, Antony, and George Argyrakos. "Control strategies for reducing environmental pollution from road traffic." Science of The Total Environment 134, no. 1-3 (June 1993): 315–24. http://dx.doi.org/10.1016/0048-9697(93)90361-9.
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Zhang, Jin Jin, Jie Zhang, Bao Xun Liu, and Jian Min Li. "Remote Management Software Design for Urban Road Traffic Equipment Based on Android Mobile Terminal." Applied Mechanics and Materials 513-517 (February 2014): 518–21. http://dx.doi.org/10.4028/www.scientific.net/amm.513-517.518.
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Beginning with the signal remote monitoring system's function structure, development process function design and so on , this paper described the remote management software design and implementation scheme of the road traffic equipment based on the Android mobile terminal. This software can realize the remote control of the traffic signal lights, condition monitoring and signal equipment management and fault alarm to remind function, reduce the maintenance management difficulty of traffic signal control equipment, and have a good application prospect.
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Klimovich, A. N., and V. N. Shuts. "Crossroad control algorithm based on V2I-interaction." «System analysis and applied information science», no. 4 (February 6, 2019): 21–27. http://dx.doi.org/10.21122/2309-4923-2018-4-21-27.
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The importance of efficient traffic management problem grows every year. Constantly increasing number of vehicles and traffic volume requires improvement of methods and algorithms of traffic control. Such improvement becomes possible due to the spreading of global navigation and positioning systems, the development of wireless communication technologies and mobile internet, the advance in specialized technologies for interaction between vehicles and road infrastructure (V2I), the enhancement of machine learning models, computer vision algorithms, the emergence of driverless cars. This paper considers the novel approach to traffic management at intersection based on the use of V2I communication, describes general scheme of such approach and differences with conventional traffic light regulation. Developed algorithm of intersection management utilizes advantages of V2I communication to increase throughput of the intersection comparing to simple traffic light regulation and more advanced adaptive methods. The increase of throughput is achieved due to the dynamic construction of regulation phases which can be done because of more complete information about traffic flow. The comparence of various methods of regulation was performed in developed traffic simulation environment based on multi-agent approach.
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Mao, He, and Xiu Hua Xu. "Research on Second Ring Expressway Traffic Congestion in Beijing." Applied Mechanics and Materials 409-410 (September 2013): 1339–42. http://dx.doi.org/10.4028/www.scientific.net/amm.409-410.1339.
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According to the urban expressway traffic congestion of Beijing, from the perspective of traffic flow, the study makes a calculation and analysis on road network congestion rate, load of road network and traffic operation index. Training the traffic congestion and load of road network by using the BP neutral network in MATLAB, and put forward some countermeasures to solve the problem of traffic congestion. Through analyzing the load of different section and congestion rate, we can obtain the spatial distribution of the traffic flow and grasp the overall traffic on the Ring Road running load, develop appropriate management control programs for traffic managers, provide service and travel mode for travelers at the same time, so that balance the overall network load tends.
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Kapskiy, D. V., D. V. Navoy, and P. A. Pegin. "Сontrol of Intelligent Transport System in Minsk." Science & Technique 17, no. 5 (October 12, 2018): 401–12. http://dx.doi.org/10.21122/2227-1031-2018-17-5-401-412.
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The paper considers algorithms for searching a maximum traffic volume of road vehicles in a traffic light cycle with a distributed intensity pulse and optimization of shifts under coordinated traffic flow control. Modeling of traffic flows have been made while using a computer program developed by the authors and it has made it possible to improve efficiency of traffic management by taking into account the distributed pulse of transport intensity. The paper proposes a model for minimizing total losses in road traffic during the integration of an incident control sub-system and route guidance for and an automatic road traffic management system as part of Minsk intelligent transportation system which has been studied as a tool for modeling a computer-aided design system "Backbone management". The model that minimizes vehicle delays, uses an algorithm implementing traffic flow intensity parameters depending on the time of day, days of the week. As a result of the simulation it has been revealed that the most effective parameter is an indicator of vehicle delays which does not always satisfy drivers trying to choose routes of their traffic which are based on a minimum transportation speed. However, from the point of view of managing an intelligent transportation system, it is necessary to choose parameters based on the requirements for minimizing delays on the road traffic network of the largest city in our country. All the proposed algorithms and models are used in the automatic traffic management system of Minsk city and will be used while creating an integrated intellectual transportation system of the city.
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Koukol, Milan, Lenka Zajíčková, Lukáš Marek, and Pavel Tuček. "Fuzzy Logic in Traffic Engineering: A Review on Signal Control." Mathematical Problems in Engineering 2015 (2015): 1–14. http://dx.doi.org/10.1155/2015/979160.
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Since 1965 when the fuzzy logic and fuzzy algebra were introduced by Lotfi Zadeh, the fuzzy theory successfully found its applications in the wide range of subject fields. This is mainly due to its ability to process various data, including vague or uncertain data, and provide results that are suitable for the decision making. This paper aims to provide comprehensive overview of literature on fuzzy control systems used for the management of the road traffic flow at road junctions. Several theoretical approaches from basic fuzzy models from the late 1970s to most recent combinations of real-time data with fuzzy inference system and genetic algorithms are mentioned and discussed throughout the paper. In most cases, fuzzy logic controllers provide considerable improvements in the efficiency of traffic junctions’ management.
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Maulana, Agru. "STRATEGI PENANGANAN LALU LINTAS PADA KAWASAN CENTRAL BUSINESS DISTRICT (CBD) DI KOTA PEKANBARU BERDASARKAN PENDEKATAN TEKNIS." Racic : Rab Construction Research 6, no. 1 (June 30, 2021): 1–11. http://dx.doi.org/10.36341/racic.v6i1.1579.
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The problem of congestion in Indonesia is often resolved only by improving / supplying the road network through widening or adding roads. This is a practical strategy to respond to the demand for increased transportation, but this strategy is temporal in nature and actually encourages higher growth rates of motorized vehicles in cities. Traffic management is one of the traffic management strategies that make maximum use of existing transportation infrastructure and facilities. The Central Business District (CBD) or the City Center Region (DPK) is the center of all city activities and a strategic location for city-scale trading activities. One of the traffic problems in Pekanbaru City, especially the activity center area of Jalan Jenderal Sudirman (in front of STC - Jalan Ir Juanda) is the poor performance level of the road both in terms of speed, traffic volume and also the density that occurs on the Jalan Jenderal Sudirman section. . From these problems, the problem solving is through traffic management by applying several scenarios using vissim, namely controlling street vendors, on street parking control, one-way / flow diversion systems and signalized intersection cycle arrangements. The most optimal scenario is to control the parking lot and change the parking angle of Jalan General Sudirman and Jalan Juanda to an angle of 300 and the application of Jalan M. Yamin into a one-way system to Jalan Sudirman and setting the cycle of signalized intersections so that the performance of the road is smaller at the level C (0.45-0.74).
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Shao, Yang, Zhongbin Luo, Huan Wu, Xueyan Han, Binghong Pan, Shangru Liu, and Christian G. Claudel. "Evaluation of Two Improved Schemes at Non-Aligned Intersections Affected by a Work Zone with an Entropy Method." Sustainability 12, no. 14 (July 8, 2020): 5494. http://dx.doi.org/10.3390/su12145494.
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The impact of work zones on traffic is a common problem encountered in traffic management. The reconstruction of roads is inevitable, and it is necessary and urgent to reduce the impact of the work zone on the operation of traffic. There are many existing research results on the influence of highway work zones, including management strategies, traffic flow control strategies, and various corresponding model theories. There are also many research results on the impacts of urban road and subway construction on traffic operation, including construction efficiency, economic impact, and travel matrix. However, there are few studies concerning the choice of work zone location, and most previous studies have assumed that the work zone choice was scientific and reasonable. Therefore, it is reasonable to choose the location of the work zone and to assess whether there is room for improvement in the road form of the work zone, but this remains a research gap. Therefore, we studied a seven-lane main road T-intersection in Xi’an, China, and investigated a work zone located at this intersection that caused a road offset, leading to the non-aligned flow of main traffic. We designed two road improvement schemes and multiple transition schemes, used VISSIM software to evaluate the traffic operation of the two schemes, and used the entropy method to choose the suitability of the two schemes under different conditions. According to the results, in the best case, the driving time, delay, and number of stops are reduced by 44%, 66%, and 92%.
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Vasirani, M., and S. Ossowski. "A Market-Inspired Approach for Intersection Management in Urban Road Traffic Networks." Journal of Artificial Intelligence Research 43 (April 24, 2012): 621–59. http://dx.doi.org/10.1613/jair.3560.
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Traffic congestion in urban road networks is a costly problem that affects all major cities in developed countries. To tackle this problem, it is possible (i) to act on the supply side, increasing the number of roads or lanes in a network, (ii) to reduce the demand, restricting the access to urban areas at specific hours or to specific vehicles, or (iii) to improve the efficiency of the existing network, by means of a widespread use of so-called Intelligent Transportation Systems (ITS). In line with the recent advances in smart transportation management infrastructures, ITS has turned out to be a promising field of application for artificial intelligence techniques. In particular, multiagent systems seem to be the ideal candidates for the design and implementation of ITS. In fact, drivers can be naturally modelled as autonomous agents that interact with the transportation management infrastructure, thereby generating a large-scale, open, agent-based system. To regulate such a system and maintain a smooth and efficient flow of traffic, decentralised mechanisms for the management of the transportation infrastructure are needed. In this article we propose a distributed, market-inspired, mechanism for the management of a future urban road network, where intelligent autonomous vehicles, operated by software agents on behalf of their human owners, interact with the infrastructure in order to travel safely and efficiently through the road network. Building on the reservation-based intersection control model proposed by Dresner and Stone, we consider two different scenarios: one with a single intersection and one with a network of intersections. In the former, we analyse the performance of a novel policy based on combinatorial auctions for the allocation of reservations. In the latter, we analyse the impact that a traffic assignment strategy inspired by competitive markets has on the drivers' route choices. Finally we propose an adaptive management mechanism that integrates the auction-based traffic control policy with the competitive traffic assignment strategy.
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Philip, Armandio, Cheetah Savana Putri, and Putra Maula Arifanggi. "Traffic Light Timer Control Using Raspberry Pi." Aptisi Transactions On Technopreneurship (ATT) 1, no. 2 (November 27, 2019): 134–43. http://dx.doi.org/10.34306/att.v1i2.37.
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As time goes by and the development of the times is very rapid increase in the number of vehicle volumes is increasing from year to year, coupled with automotive manufacturers who release their products at prices below the standard. This of course can increase the volume of congestion which is the main problem, very heavy traffic causes more time wasted and consumes fuel. The solution offered to overcome the congestion problem is a Timer Traffic Light control system, which is a traffic management system on each road segment used to reduce congestion in traffic lights that occur in big cities today. For the future, this is very much needed, given the increasing number of vehicles queuing at the traffic light. In this study a controller model of Timer Traffic Light was created based on image processing with the Background Subtraction method using the Raspberry Pi. The Background Subtraction method is used to process images containing objects that have been captured on the highway using a camera, the images obtained can classify the condition of the road with parameters of empty, medium, and solid conditions. The images obtained are then forwarded to the Timer Traffic Light controller system with the hardware and software used in this study.
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Philip, Armandio, Cheetah Savana Putri, and Putra Maulana Arifanggi. "Traffic Light Timer Control Using Raspberry Pi." Aptisi Transactions On Technopreneurship (ATT) 1, no. 2 (August 19, 2019): 134–43. http://dx.doi.org/10.34306/att.v1i2.77.
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As time goes by and the development of the times is very rapid increase in the number of vehicle volumes is increasing from year to year, coupled with automotive manufacturers who release their products at prices below the standard. This of course can increase the volume of congestion which is the main problem, very heavy traffic causes more time wasted and consumes fuel. The solution offered to overcome the congestion problem is a Timer Traffic Light control system, which is a traffic management system on each road segment used to reduce congestion in traffic lights that occur in big cities today. For the future, this is very much needed, given the increasing number of vehicles queuing at the traffic light. In this study a controller model of Timer Traffic Light was created based on image processing with the Background Subtraction method using the Raspberry Pi. The Background Subtraction method is used to process images containing objects that have been captured on the highway using a camera, the images obtained can classify the condition of the road with parameters of empty, medium, and solid conditions. The images obtained are then forwarded to the Timer Traffic Light controller system with the hardware and software used in this study.
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Liu, Yugang, Hongbo Yi, Jiali Li, Bin Chen, and Hongtai Yang. "Design and Control Method of Switchable On- or Off-Ramp for Urban Highway." Journal of Advanced Transportation 2020 (September 1, 2020): 1–10. http://dx.doi.org/10.1155/2020/7375416.
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High volume of traffic is loaded on urban highway during peak hours as well as the ramp connecting main road and auxiliary road of highway. Once the demand exceeds the capacity of the ramp, congestion may happen on both main road and the auxiliary road. To deal with this problem, an new urban highway ramp, switchable ramp (SR) that can switch between on and off condition, is proposed in this paper. A macroscopic time-space discrete model is built in this paper to model this process by dividing the studied time period into short time periods and the studied road segment into small sections. The impact of the type of ramp on upstream and downstream traffic flow is analyzed. A segment of urban highway in Chengdu, China, is used as a case study. The traffic flow data in peak hours is collected and used. Mathematical analysis proves that the SR system proposed in this paper can reduce the total travel time (TTT) in the studied area. Results show that the SR system is more useful when the traffic volume is high.
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Bhadra, Somasree, Anirban Kundu, and Sunirmal Khatua. "Introducing Eco Friendly Urban Traffic Control Room." International Journal of Green Computing 8, no. 2 (July 2017): 77–97. http://dx.doi.org/10.4018/ijgc.2017070105.
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In this article, new services in Green Computing environment is introduced. Energy and power is saved in an efficient manner using proposed services. These services are still undefined to the researchers in most of the cases. A typical framework of hierarchical structure for typical software managed central urban traffic control room is considered as case study. Each type of services is shown with an example which is interrelated with central traffic control room scenario. The authors' aim is to produce an energy efficient and power savings method in computing environment. Urban Traffic Control Room is considered as a case study. This is because in today's world urban traffic management is one of the most burning issues of any smart city management. Use of complex yet efficient software in the urban traffic control room may aid in proper management of road traffic. Keeping in mind growing environmental concerns, efficient green system architecture needs to be in place to ensure high performance, reliability and security of such an important public service sector.
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Chung, Jin-Hyuk, and Konstadinos G. Goulias. "Access Management Using Geographic Information Systems and Traffic Management Tools in Pennsylvania." Transportation Research Record: Journal of the Transportation Research Board 1551, no. 1 (January 1996): 114–22. http://dx.doi.org/10.1177/0361198196155100115.
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A new method for access management using traffic impact tools is described. The method targets impact assessment of developments combined with large activity centers. The magnitude of impact of large developments necessitates assessment of their regional and local effects on transportation networks. The method described combines regional and local traffic models and uses geographic information systems (GISs) as support tools. It was created as an access control method for computerized models and addresses supply-side transportation improvements (e.g., number of lanes, signalization, and parking controls) and their effect on traffic flow in an attempt to create better quantitative models for congestion management and access control by considering local and regional traffic impacts together. GIS technology enables users to create detailed highway networks for use in regional forecasting models and in smaller traffic simulation models. The data, models, and software used are outlined and an example of application is provided. The initial results show the efficacy of the concept and the resulting models. In the regional model, the new development generates not only new traffic volume on the network, but also route-choice changes influenced by the level of service on the specific corridors in the study area. Another component of the new model is a local model connected to a regional model through interface software. Using Traf-NETSIM, two scenarios were simulated to test the efficacy of this model system. Twenty-four independent simulation runs indicated that the access control scenario results in higher speed and less traffic delay on the primary arterial road.
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Raiyn, Jamal. "Speed Adaptation in Urban Road Network Management." Transport and Telecommunication Journal 17, no. 2 (June 1, 2016): 111–21. http://dx.doi.org/10.1515/ttj-2016-0010.
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Abstract Various forecasting schemes have been proposed to manage traffic data, which is collected by videos cameras, sensors, and mobile phone services. However, these are not sufficient for collecting data because of their limited coverage and high costs for installation and maintenance. To overcome the limitations of these tools, we introduce a hybrid scheme based on intelligent transportation system (ITS) and global navigation satellite system (GNSS). Applying the GNSS to calculate travel time has proven efficient in terms of accuracy. In this case, GNSS data is managed to reduce traffic congestion and road accidents. This paper introduces a short-time forecasting model based on real-time travel time for urban heterogeneous road networks. Travel time forecasting has been achieved by predicting travel speeds using an optimized exponential moving Average (EMA) model. Furthermore for speed adaptation in heterogeneous road networks, it is necessary to introduce asuitable control strategy for longitude, based on the GNSS. GNSS products provide worldwide and real-time services using precise timing information and, positioning technologies.
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Cui, Dong Chu, and Yue Yu. "The Optimization Layout Method of Intelligent Roadside Sensor System in Traffic Management and Control." Advanced Materials Research 591-593 (November 2012): 1251–55. http://dx.doi.org/10.4028/www.scientific.net/amr.591-593.1251.
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The vehicle sensor information and road side sensor information will be collaborative used in traffic management and control. In order to improve the comprehensiveness and economy of the traffic and road conditions’ information collection, we focus on the intelligent roadside system in this paper. Firstly, we analyse the functions of the intelligent roadside system. Through the analysis of the detection range, detection accuracy, price and applicable conditions of similar sensor, we delineate the selection range of the intelligent roadside sensor. Then we determine the layout scheme of the testing equipment sensors for different functions according to different types of network structure. Finally, we apply similarity analysis to optimize the configuration density to reduce system cost by selecting the sensor layout-intensive sections.
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ALEKO, Dex R., and Soufiene Djahel. "An Efficient Adaptive Traffic Light Control System for Urban Road Traffic Congestion Reduction in Smart Cities." Information 11, no. 2 (February 21, 2020): 119. http://dx.doi.org/10.3390/info11020119.
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Traffic lights have been used for decades to control and manage traffic flows crossing road intersections to increase traffic efficiency and road safety. However, relying on fixed time cycles may not be ideal in dealing with the increasing congestion level in cities. Therefore, we propose a new Adaptive Traffic Light Control System (ATLCS) to assist traffic management authorities in efficiently dealing with traffic congestion in cities. The main idea of our ATLCS consists in synchronizing a number of traffic lights controlling consecutive junctions by creating a delay between the times at which each of them switches to green in a given direction. Such a delay is dynamically updated based on the number of vehicles waiting at each junction, thereby allowing vehicles leaving the city centre to travel a long distance without stopping (i.e., minimizing the number of occurrences of the ‘stop and go’ phenomenon), which in turn reduces their travel time as well. The performance evaluation of our ATLCS has shown that the average travel time of vehicles traveling in the synchronized direction has been significantly reduced (by up to 39%) compared to non-synchronized fixed time Traffic Light Control Systems. Moreover, the overall achieved improvement across the simulated road network was 17%.
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Coronell, Garis, Julián Arellana, and Víctor Cantillo. "LOCATION OF SPEED CONTROL CAMERAS ON HIGHWAYS: A GEOSPATIAL ANALYSIS." Transport 36, no. 3 (August 17, 2021): 199–212. http://dx.doi.org/10.3846/transport.2021.15117.
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This research proposes a methodology to identify critical sections of highways where the location of speeding control may be beneficial. The method relies on a spatial and statistical analysis of infrastructure risks, along with traffic accident frequency and severity. A relevant feature of this methodology is related to its potential to be used in areas where there are no detailed historical records about traffic crashes, which is common in Global South countries. We applied the methodology to a rural road network in Colombia, where a recent law established that technical criteria should support the location of speed cameras. The case study uses accident information from six years, and risk data from a road safety audit carried out in the area under study. Even though historical records of accidents in the area were not fully available, the methodology allowed prioritising speed camera installations in the zone and identifying the relevant variables to define camera location. The relevant variables were the geometric characteristics of the road, traffic flows, risk factors, and proximity to populated centres. The use of speed controls should be part of a road safety management system, which allows defining camera location according to robust technical criteria.
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Paul, Ananya, Kiton Ghosh, and Mitra Sulata. "Three Fog Computing Based Variants of Congestion Control in ITS." International Journal of Recent Technology and Engineering 10, no. 1 (May 30, 2021): 333–48. http://dx.doi.org/10.35940/ijrte.a5966.0510121.
Full textAbstract:
The growth of vehicles and inadequate road capacity in the urban area trigger traffic congestion and raise the frequency of road accident. Therefore the need of drastically reducing traffic congestion is a significant concern. Advancement in the technology like fog computing, Internet of Things (IoT)in Intelligent Transportation Systems (ITS) aid in the more constructive management of traffic congestion. Three IoT basedFog computing oriented models are designed in the present work for mitigating traffic congestion. The first two schemes are vehicledependent as they control traffic congestion depending upon thenumber of vehicles and their direction of movement across the intersections. The third scheme is environment dependent as theagent senses the environment and controls the sequence of green signal at different routes dynamically. The performances of thethree schemes in ITS are analyzed along with the comparison ofstorage, communication and computation overhead. The efficacy of the schemes is studied theoretically and quantitatively. The quantitative performance of the three schemes is compared with five existing schemes. On the basis of the result of thecomparison, it can be concluded that the proposed schemes are capable of alleviating congestion more optimally than existing schemes due to the substantial reduction in vehicle waiting time.
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Decker, Rand, Robert Rice, Steve Putnam, and Stanford Singer. "Rural Intelligent Transportation System Natural-Hazard Management on Low-Volume Roads." Transportation Research Record: Journal of the Transportation Research Board 1819, no. 1 (January 2003): 255–59. http://dx.doi.org/10.3141/1819a-37.
Full textAbstract:
The growth of winter travel on alpine roads in the western United States has increased the risk to motorists and highway maintenance personnel owing to a variety of natural hazards. Hazards include snow and ice, avalanching snow, and blowing and drifting snow. The conditions call for attendant need for incident response. A substantial number of affected routes are low-volume rural winter roads. Configurations have been developed for rural intelligent transportation system (ITS) technology that can detect hazards and provide, autonomously and in real time, warnings to and traffic control actions for motorists, highway maintainers, and incident responders for roadway natural hazards. These warnings include on-site traffic control signing and road closure gates, in-vehicle audio alarms for agency maintenance and patrol vehicles, and notification to highway agency maintenance facilities or centralized multiagency dispatchers. These actions and notifications are initiated automatically from the remote rural sites and via manual intervention from off-site personnel, well removed from the rural roadway corridor itself. About 5 years of experience have been accumulated in using these rural ITS natural-hazard reduction systems, including snow avalanche detection and warning systems on Loveland Pass, Colorado; Hoback Canyon, Wyoming; and Banner Summit, Idaho. Automated road closure gates on the Teton Pass in Idaho and Wyoming now allow for remote road closure during heavy snow events. These cost-effective ITS natural-hazard systems are highly exportable for other processes that affect rural low-volume roadways, including landslide, flooding, high surf, high winds, loss of visibility, wildlife, and other natural hazards of this type.