Academic literature on the topic 'Road traffic management and control'

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Journal articles on the topic "Road traffic management and control"

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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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Dissertations / Theses on the topic "Road traffic management and control"

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Scott, Jenifer M. B. "The application of artificial neural networks to the control of a road traffic monitoring system." Thesis, University of Aberdeen, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.248623.

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This thesis describes the development of a new Road Traffic Monitoring (RTM) system designed by a team at the University of Aberdeen, to provide low cost traffic monitoring that maintains the privacy of the driver and provides high quality traffic data for the authorities. The RTM system communicates with vehicles equipped with satellite transceivers attached to Global Positioning System (GPS) units which provide data about position and velocity, enabling a picture to be built up of traffic flow conditions. The author developed an innovative system to maintain the anonymity of the driver in order for the system to be attractive to both authorities and drivers. The thesis focuses on the author's contribution to the project - the design of the major protocols, including polling and 'system wide' strategies, an in-depth study of the statistics of the capacity of the RTM system and the development of a protocol to limit the number of responses from vehicles to a manageable level. The RTM system was implemented as a simulation and all designed protocols and parameters thoroughly tested. It is currently being used by the European Space Agency in a pilot study as the first phase of implementation. The author then envisaged an intelligent control system that would monitor and control the RTM system in real time, optimising parameters dynamically in order for the system to run efficiently and accurately. A hybrid 'Artificial Intelligence' (AI) system composed of a rule based system and a number of Artificial Neural Networks (ANNs) is proposed. A new rule extraction system developed by the author to counter the 'black box' effect of ANNs is then presented, making use of a hierarchical system of Self Organising Maps (SOMs). Following this, an extension to the system is described, using the Quantisation Error (QE) to enable the real time detection of 'unusual' data, or data from outwith the current operating environment, enabling retraining or the return to a previous control situation, to take place. Such a system of ANNs is ideal for use in both monitoring and control of a dynamic real time system such as RTM.
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Almejalli, Khaled A. "Intelligent Real-Time Decision Support Systems for Road Traffic Management. Multi-agent based Fuzzy Neural Networks with a GA learning approach in managing control actions of road traffic centres." Thesis, University of Bradford, 2010. http://hdl.handle.net/10454/4264.

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The selection of the most appropriate traffic control actions to solve non-recurrent traffic congestion is a complex task which requires significant expert knowledge and experience. In this thesis we develop and investigate the application of an intelligent traffic control decision support system for road traffic management to assist the human operator to identify the most suitable control actions in order to deal with non-recurrent and non-predictable traffic congestion in a real-time situation. Our intelligent system employs a Fuzzy Neural Networks (FNN) Tool that combines the capabilities of fuzzy reasoning in measuring imprecise and dynamic factors and the capabilities of neural networks in terms of learning processes. In this work we present an effective learning approach with regard to the FNN-Tool, which consists of three stages: initializing the membership functions of both input and output variables by determining their centres and widths using self-organizing algorithms; employing an evolutionary Genetic Algorithm (GA) based learning method to identify the fuzzy rules; tune the derived structure and parameters using the back-propagation learning algorithm. We evaluate experimentally the performance and the prediction capability of this three-stage learning approach using well-known benchmark examples. Experimental results demonstrate the ability of the learning approach to identify all relevant fuzzy rules from the training data. A comparative analysis shows that the proposed learning approach has a higher degree of predictive capability than existing models. We also address the scalability issue of our intelligent traffic control decision support system by using a multi-agent based approach. The large network is divided into sub-networks, each of which has its own associated agent. Finally, our intelligent traffic control decision support system is applied to a number of road traffic case studies using the traffic network in Riyadh, in Saudi Arabia. The results obtained are promising and show that our intelligent traffic control decision support system can provide an effective support for real-time traffic control.
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Zaidi, Syed Muhammad Zaier Abbas. "Mobility and safety evaluation of integrated dynamic merge and speed control strategies in work zones." Master's thesis, University of Central Florida, 2010. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/4613.

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An already calibrated and validated VISSIM model for Simplified Dynamic Lane Merge System (SDLMS) in accordance with the real life work zone was modified with a VSL through Vehicle Actuated Programming (VAP) code. Three different logics were coded each for VSL alone, early SDLMS+VSL and late SDLMS+VSL. All these logics were fine tuned with several test runs before finalizing it for the final simulation. It is found through the simulation of above mentioned scenarios that for low and medium volume levels (V0500, V1000 and V1500), there is no significant difference between the Maintenance of Traffic (MOT) plans for mean throughputs. However, for higher volume levels (V2000 and V2500), late SDLMS with and without VSL produced higher mean throughputs for all compliance rates and truck percentages except when the demand volume was 2,500 vph and compliance of 60%, where it produces the significantly lower mean throughputs. In terms of travel time through the work zone, results indicated that there is no significant difference between MOT types for demand levels of V0500 and V1000 when compliance is 40% or less but for compliance of 60% and more, only demand volume level that is not significantly different from other MOT types is V0500. This study revealed that VSL increases travel time through the work zone. This might be due to non-compliant vehicles that follow the compliant vehicle ahead unless they find a sufficient gap in adjacent lane to pass the compliant vehicle. It is also found out that VSL makes the system safer at higher volumes (2,000 vph and 2,500 vph). This was observed through safety surrogate measures selected for this study.; Another outcome of this study is that the addition of VSL to the dynamic merge systems helps in improving the overall safety of the system by lowering speed variances and deceleration means of the vehicles travelling through the work zone. The passage of traffic through the work zone is made safer when a speed control is integrated to a dynamic merge system. It can be inferred from the simulation results that integrated SDLMS and VSL systems have better performance in terms of traffic mobility and safety than existing individual controls and also show that the integrated SDLMS and VSL system has more potential than each individual systems.; In recent years, there has been a considerable increase in the amount of construction work on the U.S. national highways. Most of the work undertaken is the reconstruction and rehabilitation of the existing transportation networks. Work zones in the United States are likely to increase in number, duration and length due to emphasis on repair and highway reconstruction as a significant portion of all federal-aid highway funds are now geared toward highway rehabilitation. The challenge of mobility is particularly acute in work zone areas as road repair and construction intensifies traffic issues and concentrates them in specific locations and at specific times. Due to the capacity drop, which is the result of lane closure in work zone area, congestion will occur with a high traffic demand. The congestion increases number and severity of traffic conflicts which raise the potential for accidents; furthermore traffic operational properties of roadway in work zone area become worse. Intelligent Transportation System (ITS) technologies have been developed and are being deployed to improve the safety and mobility of traffic in and around work zones. In several states in the US, the use of Dynamic Merge Controls also known as Dynamic Lane Merge (DLM) system has been initiated to enhance traffic safety and to improve traffic flow in work zone areas. The DLM usually takes two forms; dynamic early merge and dynamic late merge. The use of variable speed limit (VSL) systems at work zones is also one of those measures. VSL systems improve safety by helping the driver in determining the maximum speed that drivers should travel. Besides adding improvement to safety, they are also expected to improve mobility at the work zones.; The main goal of this study is to evaluate the safety and operational effectiveness of the dynamic merge systems i.e. the dynamic early lane merge and dynamic late lane merge, in the presence of VSL system. More specifically, the VISSIM model is utilized to simulate a two-to-one lane configuration when one out of the two lanes in the work zone is closed for traffic. Six different scenarios were adopted to assess the effectiveness of these scenarios under different traffic demand volumes and different drivers' compliance rates to the messages displayed by the systems. These scenarios are; bullet] Work Zone without VSL and without SDLMS or the current Motorist Awareness System (MAS) bullet] Work Zone with VSL and without SDLMS bullet] Work Zone with VSL and Early SDLMS bullet] Work Zone with VSL and Late SDLMS bullet] Work Zone with early SDLMS and without VSL bullet] Work Zone with early SDLMS and without VSL
ID: 029050385; System requirements: World Wide Web browser and PDF reader.; Mode of access: World Wide Web.; Thesis (M.S.)--University of Central Florida, 2010.; Includes bibliographical references (p. 189-192).
M.S.
Masters
Department of Civil and Environmental Engineering
Engineering and Computer Science
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Ramamonjisoa, David. "Architecture de copilotage et de contrôle d'exécution basée sur un système expert temps réel." Compiègne, 1993. http://www.theses.fr/1993COMP574S.

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Le développement croissant du trafic routier, le besoin de confort et d'information des conducteurs et l'exigence générale d'une plus grande sécurité sont actuellement le grand souci des laboratoires de recherches et constructeurs automobiles des pays industrialisés. Le projet européen PROMETHEUS a pour objectif d'améliorer la sécurité de la circulation routière de 30% et l'efficacité de 20%. Dans le cadre de ce projet, une application de système d'aide au copilotage a été réalisée avec la mise au point d'un système de contrôle d'exécution des manoeuvres et de surveillance des environnements. Des outils à base de techniques d'intelligence artificielle et d'automatique ont été développés pour la réalisation d'un tel système. La démarche suivie est de spécifier une architecture de contrôle pour diminuer le temps de réponse du système et pour structurer les tâches de façon modulaire. Les modules de décision et de contrôle ont été développés à l'aide d'un système expert temps réel SUPER-TR. Une phase de simulation a permis de tester la rapidité et d'évaluer la base de connaissances du système. La mise à jour des stratégies et des modèles utilisés dans le copilotage est également effectuée au cours de cette phase.
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Yip, Ying-ling, and 葉影玲. "Review of road traffic noise control." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1998. http://hub.hku.hk/bib/B42128523.

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Yip, Ying-ling. "Review of road traffic noise control." Click to view the E-thesis via HKUTO, 1998. http://sunzi.lib.hku.hk/hkuto/record/B42128523.

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Zanule, Paul Gudoi. "Road Management System and Road Safety in Uganda." ScholarWorks, 2015. https://scholarworks.waldenu.edu/dissertations/368.

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Traffic collisions cost Uganda millions of dollars each year. The purpose of this descriptive case study was to describe the strategies and processes needed to implement a road management system. Such a system would significantly reduce the fatalities and accidents in Uganda, improve the transportation within Kampala's business district, and increase business profitability. Three conceptual theories framed the research study: management theory, strategic management theory, and criminology theory. Using a snowball sampling strategy, data were collected from open-ended interviews, questionnaires, observations, and archived documents from 20 administrative participants in the government and organizational leaders involved in the transport operations and transport services in the Kampala business district in Uganda. Data were analyzed using 3 phases: (a) interpretational analysis, coding, and grouping segments; (b) structural analysis, consistency, and quality; and (c) reflective analysis, consequences, what, when, where, and how. Five themes or action requirements emerged from the data analysis: to improve transport operations and transport services profitability, reduce traffic jams and fatalities, provide sufficient driving training, maintain road infrastructure, and maintain traffic law enforcement. The findings and recommendations from this study may improve the profitability of businesses, reduce the traffic jams and fatalities, and improve the gross domestic product of Uganda, thereby contributing to positive social change.
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Law, See-hon. "Implementing control on road traffic noise in Hong Kong /." [Hong Kong : University of Hong Kong], 1994. http://sunzi.lib.hku.hk/hkuto/record.jsp?B13813973.

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Saunders, Roger. "Road traffic accidents and their implications for management." Thesis, Bournemouth University, 1987. http://eprints.bournemouth.ac.uk/413/.

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It has been known for some time that police records collected by the Department of Transport could be unreliable. Local Authorities use these data as an aid to the decision making process and to assist with objective setting. Studies warning of deficiencies in the accuracy of Stats 19 police data show confusing and often differing levels of inaccuracy. Due to the atypical nature of Road Traffic Accident typology the thesis sets out to examine a methodology for use by professional safety practitioners in order to test the reliability and accuracy of existing data and to test how in an operational environment these data might be expanded to meet the needs of the practitioner responsible for education, training and publicity measures rather than the pure highway engineering function which exists at the present time. Saunders, in 'Road Safety Management in a shire county' showed how tactical objectives were set by safety practitioners but concluded that operational resource planning was a vital stepping stone between the tactical and operational objective setting phase. The thesis examines this aspect in depth from a theoretical backcloth but illustrates throughout how this is-necessary to improve management efficiency and effectiveness within a public sector organisation. The thesis examines the levels of under-reporting in the local area from a management standpoint and considers the effects this information will have on the organisation. At the same time, aids to accident analysis such as statements made to the police and methods for improving the quality and reliability of data collection in an operational setting are considered. From this, the thesis examines the current and a proposed revision of the resource base and considers how these findings affect the operational resource plan for the organisation. This, and the methodology discussed, is a necessary management consideration if it is to enable an organisation to meet its aims and objectives.
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Law, See-hon, and 羅思翰. "Implementing control on road traffic noise in Hong Kong." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1994. http://hub.hku.hk/bib/B31252928.

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Books on the topic "Road traffic management and control"

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Transportation, Montana Dept of. Traffic engineering manual. [Helena, Mont.]: Montana Dept. of Transportation, 2007.

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United States. Congress. House. Committee on Homeland Security. Subcommittee on Oversight, Investigations, and Management. U.S.-Caribbean border: Open road for drug traffickers and terrorists : hearing before the Subcommittee on Oversight, Investigations, and Management of the Committee on Homeland Security, House of Representatives, One Hundred Twelfth Congress, second session, June 21, 2012. Washington: U.S. Government Printing Office, 2013.

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Markow, Michael J. Managing selected transportation assets: Signals, lighting, signs, pavement markings, culverts, and sidewalks. Washington, D.C: Transportation Research Board, 2007.

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PTRC, Transport Highways and Planning Summer Meeting (21st 1993 University of Manchester Institute of Science andTechnology). Traffic management and road safety. (London): PTRC Education and Research Services on behalf of the Planning and Transport Research and Computation International Association, 1993.

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FEDERAL AVIATION ADMINISTRATION. Traffic management system. [Washington, D.C.?]: U.S.Dept. of Transportation, Federal Aviation Administration, 1985.

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A, Mierzejewski Edward, National Cooperative Highway Research Program., National Research Council (U.S.). Transportation Research Board., American Association of State Highway and Transportation Officials., and United States. Federal Highway Administration., eds. Electronic Toll and Traffic Management (ETTM) systems. Washington, D.C: National Academy Press, 1993.

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L, Cavinato Joseph, and Langley C. John, eds. Traffic management: Planning, operations, and control. Reading, Mass: Addison-Wesley Pub. Co., 1986.

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Tyworth, John E. Traffic management: Planning, operations, and control. Reading, Mass: Addison-Wesley Pub. Co., 1987.

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Gáspár, Péter, and Balázs Németh. Predictive Cruise Control for Road Vehicles Using Road and Traffic Information. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-04116-8.

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Akinola, Abayomi A. Road traffic accidents in Nigeria: Cases, causes and control. Ibadan: D&G International Limited, 2005.

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Book chapters on the topic "Road traffic management and control"

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Vrancken, Jos. "Hierarchical Control for Road Traffic Management." In Coordination Control of Distributed Systems, 239–47. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-10407-2_29.

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Jimoh, Falilat, and Thomas Leo McCluskey. "Self-management in Urban Traffic Control: An Automated Planning Perspective." In Autonomic Road Transport Support Systems, 29–46. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-25808-9_3.

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Bridge-Nduwimana, Charlène Béatrice, Abdessamad Malaoui, and Jilali Antari. "Application of Artificial Intelligence Approach for Optimizing Management of Road Traffic." In Studies in Systems, Decision and Control, 61–71. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-22773-9_5.

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van Katwijk, R. T., P. van Koningsbruggen, B. De Schutter, and J. Hellendoorn. "A Test Bed for Multi-Agent Control Systems in Road Traffic Management." In Applications of Agent Technology in Traffic and Transportation, 113–31. Basel: Birkhäuser Basel, 2005. http://dx.doi.org/10.1007/3-7643-7363-6_8.

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Yanguang, Cai, and Cai Hao. "A Dynamic Traffic Signal Timing Model and Its Algorithm for Junction of Urban Road." In Future Computing, Communication, Control and Management, 555–66. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-27326-1_71.

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Bhatnagar, S., H. Prasad, and L. Prashanth. "Road Traffic Control." In Stochastic Recursive Algorithms for Optimization, 243–55. London: Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-4285-0_13.

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Belloche, Sylvain, Charlotte Pierrefeu, and Caroline Sorand. "Pre-Trip Road Information Impact Assessment: A Literature Review." In Traffic Management, 217–34. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2016. http://dx.doi.org/10.1002/9781119307822.ch15.

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Papageorgiou, Markos. "Traffic Control." In International Series in Operations Research & Management Science, 233–67. Boston, MA: Springer US, 1999. http://dx.doi.org/10.1007/978-1-4615-5203-1_8.

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Bermejo, A. J., J. Villadangos, J. J. Astrain, and A. Córdoba. "Ontology Based Road Traffic Management." In Intelligent Distributed Computing VI, 103–8. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-32524-3_14.

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Purson, Eric, Alexis Bacelar, Eric Klein, Bruno Levilly, and Fabrice Reclus. "Assessment of the Main New Travel-times Calculation Technologies on Lyon East Ring Road." In Traffic Management, 319–30. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2016. http://dx.doi.org/10.1002/9781119307822.ch22.

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Conference papers on the topic "Road traffic management and control"

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Wren, A. C. "ROMANSE - Road Management System for Europe." In Eighth International Conference on Road Traffic Monitoring and Control. IEE, 1996. http://dx.doi.org/10.1049/cp:19960283.

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Tarrant, D. "ROMANSE (ROad MANagement System for Europe) project." In Seventh International Conference on `Road Traffic Monitoring and Control'. IEE, 1994. http://dx.doi.org/10.1049/cp:19940412.

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de Haes, F. "Incident management in the Netherlands." In Eighth International Conference on Road Traffic Monitoring and Control. IEE, 1996. http://dx.doi.org/10.1049/cp:19960317.

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James, J. L. "Proactive traffic management in Wales." In Eleventh International Conference on Road Transport Information and Control. IEE, 2002. http://dx.doi.org/10.1049/cp:20020220.

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Maxwell, A. "Traffic management across jurisdictional boundaries." In Tenth International Conference on Road Transport Information and Control. IEE, 2000. http://dx.doi.org/10.1049/cp:20000094.

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Claroni, C. "Integrated management of the urban mobility." In Seventh International Conference on `Road Traffic Monitoring and Control'. IEE, 1994. http://dx.doi.org/10.1049/cp:19940419.

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McDonald, M. "Urban incident management using integrated control and information systems." In Eighth International Conference on Road Traffic Monitoring and Control. IEE, 1996. http://dx.doi.org/10.1049/cp:19960316.

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Taale, H. "Evaluation of traffic management by the traffic police." In 12th IEE International Conference on Road Transport Information & Control - RTIC 2004. IEE, 2004. http://dx.doi.org/10.1049/cp:20040016.

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Bell, M. C. "Integration of traffic and environmental monitoring and management systems." In Eighth International Conference on Road Traffic Monitoring and Control. IEE, 1996. http://dx.doi.org/10.1049/cp:19960285.

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Blythe, P. T. "Demand management: an overview of European research activities." In Eighth International Conference on Road Traffic Monitoring and Control. IEE, 1996. http://dx.doi.org/10.1049/cp:19960322.

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Reports on the topic "Road traffic management and control"

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Tarko, Andrew P., Qiming Guo, and Raul Pineda-Mendez. Using Emerging and Extraordinary Data Sources to Improve Traffic Safety. Purdue University, 2021. http://dx.doi.org/10.5703/1288284317283.

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The current safety management program in Indiana uses a method based on aggregate crash data for conditions averaged over several-year periods with consideration of only major roadway features. This approach does not analyze the risk of crashes potentially affected by time-dependent conditions such as traffic control, operations, weather and their interaction with road geometry. With the rapid development of data collection techniques, time-dependent data have emerged, some of which have become available for safety management. This project investigated the feasibility of using emerging and existing data sources to supplement the current safety management practices in Indiana and performed a comprehensive evaluation of the quality of the new data sources and their relevance to traffic safety analysis. In two case studies, time-dependent data were acquired and integrated to estimate their effects on the hourly probability of crash and its severity on two selected types of roads: (1) rural freeways and (2) signalized intersections. The results indicate a considerable connection between hourly traffic volume, average speeds, and weather conditions on the hourly probability of crash and its severity. Although some roadway geometric features were found to affect safety, the lack of turning volume data at intersections led to some counterintuitive results. Improvements have been identified to be implemented in the next phase of the project to eliminate these undesirable results.
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Jain, Raj. Congestion Control and Traffic Management in ATM Networks: Recent Advances and a Survey. Fort Belvoir, VA: Defense Technical Information Center, January 1995. http://dx.doi.org/10.21236/ada386244.

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Cassidy, Michael, and Kumares Sinha. An Electronic Surveillance and Control System for Traffic Management on the Borman Expressway, Part I. West Lafayette, IN: Purdue University, 1990. http://dx.doi.org/10.5703/1288284314184.

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Wang, Mu-Han, and Michael Cassidy. An Electronic Surveillance and Control System for the Management of Traffic on the Borman Expressway. West Lafayette, IN: Purdue University, 1996. http://dx.doi.org/10.5703/1288284313138.

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Cassidy, Michael, and Kumares Sinha. An Electronic Surveillance and Control System for Traffic Management on the Borman Expressway, Part I. Purdue University Press, 1990. http://dx.doi.org/10.5703/1288284313426.

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Cassidy, Michael, and Kumares Sinha. An Electronic Surveillance and Control System for Traffic Management on the Borman Expressway, Part I : Executive Summary. West Lafayette, IN: Purdue University, 1990. http://dx.doi.org/10.5703/1288284314185.

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Tarko, Andrew P., Thomas Hall, Cristhian Lizarazo, and Fernando España-Monedero. Speed Management in Small Cities and Towns—Guidelines for Indiana. Purdue University, 2020. http://dx.doi.org/10.5703/1288284317122.

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Many small cities and towns in rural states such as Indiana are crossed by arterial highways. The local traffic on these roads, particularly vulnerable road users, face the excessive risk of injury and death. This danger is amplified with local land development, driveways, and on-street parking in town centers. This report presents an Indiana study of the speeding problem on arterial roads passing through small communities. Past research on various countermeasures suitable for the studied conditions were identified and the connection between speed reduction and safety improvements was investigated in a sample of Indiana small towns. Promising speed-reduction measures include speed feedback signs and converging chevrons with speed limit legends marked on the pavement. Point-to-point enforcement is a modern and highly effective alternative that may be applicable on highways passing small towns if the through traffic prevails with limited interruptions. This report provides a method of evaluating the benefits of speed reduction in the studied conditions where the risk of severe injury and fatality is excessive to road users while the frequency of crashes is low. The method includes the proactive estimation of the economic benefit. The results indicate that both the local and through traffic on highways passing a small town benefit considerably from speed reduction even after accounting for the loss of time. An Excel spreadsheet developed in the study facilitates the calculations.
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Fehey, Kristina, and Dustin Perkins. Invasive exotic plant monitoring in Capitol Reef National Park: 2019 field season, Scenic Drive and Cathedral Valley Road. Edited by Alice Wondrak Biel. National Park Service, June 2021. http://dx.doi.org/10.36967/nrr-2286627.

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Invasive exotic plant (IEP) species are a significant threat to natural ecosystem integrity and biodiversity, and controlling them is a high priority for the National Park Service. The North-ern Colorado Plateau Network (NCPN) selected the early detection of IEPs as one of 11 monitoring protocols to be implemented as part of its long-term monitoring program. From May 30 to June 1, 2019, network staff conducted surveys for priority IEP species along the Scenic Drive and Cathedral Valley Road monitoring routes at Capitol Reef National Park. We detected 119 patches of six priority IEP species along 34 kilometers of the two monitor-ing routes. There were more patches of IEPs, and a higher percentage of large patches, than in previous years. This indicates that previously identified infestations have expanded and grown. The most common (47.1%) patch size among priority species was 1,000–2,000 m2 (0.25–0.5 acre). The vast majority (93.2%) of priority patches ranked either low (58.8%) or very low (34.4%) on the patch management index scale. Tamarisk (Tamarix sp., 72 patches) was the most prevalent priority IEP species. African mustard (Malcolmia africana, 32 patch-es), field bindweed (Convolvulus arvensis, 9 patches), and Russian olive (Elaeagnus angusti-folia, 3 patches) occurred less commonly. Together, these four species represented 97.5% of all patches recorded in 2019. Four IEP species were found on the monitored routes for the first time: Russian olive (Elaeagnus angustifolia), quackgrass (Elymus repens), Siberian elm (Ulmus pumila), and African mustard (Malcolmia africana, not on the priority species list before 2019). Cathedral Valley Road had higher IEP priority patches per kilometer (5.68) than the Scenic Drive (2.05). IEP species were found on 37.9% (25 of 66) of monitored transects. Almost all these detections were Russian thistle (Salsola sp.). Russian thistle was widespread, present in 33.3% of transects, with an estimated cover of 0.2% across all transects sampled. Across routes monitored in all three rotations (2012, 2015, and 2019), Russian thistle has increased in frequency. However, its frequency remained about the same from 2015 to 2019, and percent cover remains low. Tamarisk and field bindweed have both increased in preva-lence since monitoring began, with tamarisk showing a dramatic increase in the number and size of patches. Immediate control of tamarisk and these other species is recommended to reduce their numbers on these routes. The NCPN plans to Capitol Reef in 2020 to monitor Oak and Pleasant creeks, completing the third rotation of invasive plant monitoring.
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Li, Howell, Jijo K. Mathew, Woosung Kim, and Darcy M. Bullock. Using Crowdsourced Vehicle Braking Data to Identify Roadway Hazards. Purdue University, 2020. http://dx.doi.org/10.5703/1288284317272.

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Modern vehicles know more about the road conditions than transportation agencies. Enhanced vehicle data that provides information on “close calls” such as hard braking events or road conditions during winter such as wheel slips and traction control will be critical for improving safety and traffic operations. This research applied conflict analyses techniques to process approximately 1.5 million hard braking events that occurred in the state of Indiana over a period of one week in August 2019. The study looked at work zones, signalized intersections, interchanges and entry/exit ramps. Qualitative spatial frequency analysis of hard-braking events on the interstate demonstrated the ability to quickly identify temporary and long-term construction zones that warrant further investigation to improve geometry and advance warning signs. The study concludes by recommending the frequency of hard-braking events across different interstate routes to identify roadway locations that have abnormally high numbers of “close calls” for further engineering assessment.
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Mohammadian, Abolfazl, Amir Bahador Parsa, Homa Taghipour, Amir Davatgari, and Motahare Mohammadi. Best Practice Operation of Reversible Express Lanes for the Kennedy Expressway. Illinois Center for Transportation, September 2021. http://dx.doi.org/10.36501/0197-9191/21-033.

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Reversible lanes in Chicago’s Kennedy Expressway are an available infrastructure that can significantly improve traffic performance; however, a special focus on congestion management is required to improve their operation. This research project aims to evaluate and improve the operation of reversible lanes in the Kennedy Expressway. The Kennedy Expressway is a nearly 18-mile-long freeway in Chicago, Illinois, that connects in the southeast to northwest direction between the West Loop and O’Hare International Airport. There are two approximately 8-mile reversible lanes in the Kennedy Expressway’s median, where I-94 merges into I-90, and there are three entrance gates in each direction of this corridor. The purpose of the reversible lanes is to help the congested direction of the Kennedy Expressway increase its traffic flow and decrease the delay in the whole corridor. Currently, experts in a control location switch the direction of the reversible lanes two to three times per day by observing real-time traffic conditions captured by a traffic surveillance camera. In general, inbound gates are opened and outbound gates are closed around midnight because morning traffic is usually heavier toward the central city neighborhoods. In contrast, evening peak-hour traffic is usually heavier toward the outbound direction, so the direction of the reversible lanes is switched from inbound to outbound around noon. This study evaluates the Kennedy Expressway’s current reversing operation. Different indices are generated for the corridor to measure the reversible lanes’ performance, and a data-driven approach is selected to find the best time to start the operation. Subsequently, real-time and offline instruction for the operation of the reversible lanes is provided through employing deep learning and statistical techniques. In addition, an offline timetable is also provided through an optimization technique. Eventually, integration of the data-driven and optimization techniques results in the best practice operation of the reversible lanes.
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