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Journal articles on the topic 'Road traffic simulation'
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1
Iliescu, Mihai, and Dorin Barbinta. "Aspects Regarding Road Traffic Simulation." Indian Journal of Applied Research 3, no. 4 (October 1, 2011): 45–47. http://dx.doi.org/10.15373/2249555x/apr2013/45.
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Tapani, Andreas. "Versatile Model for Simulation of Rural Road Traffic." Transportation Research Record: Journal of the Transportation Research Board 1934, no. 1 (January 2005): 168–78. http://dx.doi.org/10.1177/0361198105193400118.
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In many countries the road mileage is dominated by rural highways. For that reason it is important to have access to efficient tools for evaluation of the performance of such roads. For other road types, e.g., freeways and urban street networks, a wealth of microsimulation models is available. However, only a few models dedicated to rural roads have been developed. None of these models handles traffic flows interrupted by intersections or roundabouts, nor are the models capable of describing the traffic flow on rural roads with a cable barrier between oncoming lanes. These are major drawbacks when Swedish roads, on which cable barriers and roundabouts are becoming increasingly important, are modeled. Moreover, as new areas of application for rural road simulation arise, a flexible and detailed model is needed. Such applications include, among other things, simulation of driver assistance systems and estimation of pollutant emissions. This paper introduces a versatile traffic microsimulation model for the rural roads of today and of the future. The model system presented, the Rural Traffic Simulator (RuTSim), is capable of handling all common types of rural roads, including the effects of roundabouts and intersections on the traffic on the main road. The purpose of the paper is to describe the simulation approach and the traffic modeling used in RuTSim. A verification of the RuTSim model is also included. RuTSim is found to produce outputs representative of all common types of rural roads in Sweden.
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Prakash, Akula, Rathod Ravinder, A. Vittalaiah, Sai Krishna Munipally, and Mohammed H. Al-Farouni. "VISSIM Based Traffic Flow Simulation Analysis on Road Network." E3S Web of Conferences 529 (2024): 03009. http://dx.doi.org/10.1051/e3sconf/202452903009.
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The urban transport system is a heterogeneous system and is in serious trouble. Traffic congestion has become a major socio-economic problem in both urban and rural areas. Traffic congestion is managed through signage, interchanges, and road widening. Traffic analysis remains a difficult task, especially in countries like India where the number of vehicles is constantly increasing and the roads are increasingly busy, because it is difficult to generate alternatives. Traffic simulation systems such as PTV VISSIM are tools dedicated to the analysis of traffic problems. VISSIM is a simulation software that is widely used to create simulations in dynamic traffic situations before evaluating traffic conditions and creating a realistic plan. Dynamic simulation of traffic flow using VISSIM and appropriate techniques to reduce traffic congestion. The main objective is to examine the study area and prepare a sample for it to find out the root causes of the traffic problem and give the necessary suggestions to solve the problem.
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Li, Yun Han, Chang Qing Zheng, Chun Fu Shao, and Han Deng. "UC-Win/Road Simulation Systems Application to Domestic Simulation of Road Traffic." Applied Mechanics and Materials 505-506 (January 2014): 1219–24. http://dx.doi.org/10.4028/www.scientific.net/amm.505-506.1219.
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In recent years, a promising software which is called UC-win/road has been playing a major role in Chinese traffic simulation research. It is mainly applied in traffic planning and design, road and landscape simulation, and transportation environmental assessment. In this article, firstly, a brief description of the software will be introduced. Secondly, the possible problems which might be generated in road traffic simulation will be given. Finally, one case study will be shown in detail and the future of the software in China will be prospected.
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Yang, Zhen, Ruiping Zheng, Gang Wang, and Kefu Zhou. "A Dynamic Road Network Model for Coupling Simulation of Highway Infrastructure Performance and Traffic State." Sustainability 14, no. 18 (September 14, 2022): 11521. http://dx.doi.org/10.3390/su141811521.
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The state of the road network contains both the infrastructure performance and the traffic operation state of the road network. There is a strong coupling between the decay of the infrastructure performance and the redistribution of the traffic flow on the road network. In this paper, a dynamic road network description model is proposed to apply to the couple simulation of highway network infrastructure performance and traffic state. First, a road network description model is constructed by associating the highway network topology with state attributes. The topology contains traffic information and is dynamically editable. Then, a dynamic road network model is proposed that can dynamically represent the changes in local connectivity relationships caused by traffic control, such as lane/ramp closures and turning restrictions in actual roads due to construction operations and access to the state of multi-scale spatio-temporal road networks. It overcomes the defects of the existing road network model, which is difficult to apply to the analysis of service performance and traffic state of the road network in different periods. Finally, the application of the dynamic road network model in the highway network coupled simulation system (HNCS) is completed, which provides a method for improving the efficiency and accuracy of large-scale highway network traffic simulation and highway infrastructure performance prediction.
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Liu, Yang, and Yunxue Song. "Research on simulation and optimization of road traffic flow based on Anylogic." E3S Web of Conferences 360 (2022): 01070. http://dx.doi.org/10.1051/e3sconf/202236001070.
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With the development of urban roads and the growth of traffic flow, large-scale congestion often occurs. The long time-consuming urban road traffic makes drivers very annoying. This is the main reason for using simulation tools to analyze and optimize urban road traffic flow. Intelligent body modeling and simulation has been regarded as a reliable and powerful tool in the field of traffic simulation. This paper uses Anylogic software based on intelligent modeling and simulation to solve the traffic flow optimization problem in a congested area in Tianjin. The simulation results show that by changing the display time of the traffic lights in the road network, the vehicle travel time in the system is reduced from 145.46 seconds to 132.31 seconds. After 300 iterations of experiments, it was determined that the vehicle’s travel time in the system reached the optimum when iterated 73 times.
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Ji, Ke, Jinjun Tang, Min Li, and Cheng Hu. "Distributed Traffic Control Based on Road Network Partitioning Using Normalization Algorithm." Sustainability 15, no. 14 (July 21, 2023): 11378. http://dx.doi.org/10.3390/su151411378.
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With continuous economic development, most urban road networks are facing unprecedented traffic congestion. Centralized traffic control is difficult to achieve, and distributed traffic control based on partitioning a road network into subnetworks is a promising way to alleviate traffic pressure on urban roads. In order to study the differences between different partitioning methods chosen for distributed traffic control, we used the normalization algorithm to partition a part of the road network in Changsha City, and we used the results of the Girvan–Newman algorithm and the manual empirical partitioning method as a control group. Meanwhile, an abstract road network was constructed using VISSIM simulation software based on realistic road network parameters. And then, the different partitioning results were applied to the simulated road network to analyze the control effect. The results of the simulation software show that different partitioning methods have different effects on traffic control at subnetwork boundaries and improve traffic pressure to different degrees. Partitioning the road network into four subnetworks provided the greatest degree of traffic improvement. Overall, the proposed distributed traffic control method effectively improved operational efficiency and alleviated the traffic pressure of the road network.
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Kaixi, Yang, and Li Meiqi. "Traffic Simulation, Optimization and Evaluation of Adjacent Intersections Based on VISSIM Model." Applied Science and Innovative Research 4, no. 2 (May 21, 2020): p53. http://dx.doi.org/10.22158/asir.v4n2p53.
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This paper mainly aims at alleviating the traffic congestion on urban roads and analyzes the traffic at adjacent intersections. First, the paper briefly introduced the VISSIM model, and then selected the traffic situation at the intersection of Weibin road and Fengcheng first road and the intersection of Weibin road and Fengcheng second road in Weiyang district of Xi’an city as research objects to simulate. Fanally, on the premise of basic meet the actual conditions, the optimization of channelization and signal timing at the intersection reduces the maximum queue length and the average stopping times of vehicles, so that the traffic of the section can run efficiently and smoothly, and provides an effective experiment for the optimization of the intersection.
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Musri S, M. Ali, Siti Fatimah, and Saiful Anwar Matondang. "Simulation Model to Reduce the Traffic Jams with a Stochastic Program." WSEAS TRANSACTIONS ON ENVIRONMENT AND DEVELOPMENT 18 (January 7, 2022): 37–41. http://dx.doi.org/10.37394/232015.2022.18.5.
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Traffic congestion needs a simulation model to reduce its effects on traffics jams and pollution. The traffic cessation caused by the large number of vehicles exceeding the capacity of the road users. This study applied a stochastic program to the traffic congestion; it causes most of the working hours to be spent on roads that indirectly place a negative impact on economic growth. It also causes serious air pollution that will worsen the overall environmental condition. Data obtained show the factors causing traffic congestion in the city of Medan and with approach the stochastic program model used to solve this problem. Data indicated that there are four factors causing traffic congestion in Medan, which are non-growth of road, economic growth, population growth, and increase of motor vehicle.Population factor; the existence of good population growth caused by natural and migration growth. It concludes that the traffic jams are due to the socio-economic factors; namely the development of community business activities. Also socio-cultural factors; the existence of changes in the pattern of life and public order due to outside influences, communication, and information systems.
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Voumard, J., O. Caspar, M. H. Derron, and M. Jaboyedoff. "Dynamic risk simulation to assess risk along roads." Natural Hazards and Earth System Sciences Discussions 1, no. 2 (April 17, 2013): 1285–317. http://dx.doi.org/10.5194/nhessd-1-1285-2013.
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Abstract. Risk generated by natural hazards on roads is usually calculated with equations integrating various parameters related to hazard and traffic. These are static variables, like a rockfall hazard estimation for a road section or the average number of vehicles crossing this section every day. This methodology cannot take into account dynamic variations of traffic and interactions between vehicles such as speed modifications due to the sinuosity, slowdowns resulting of saturated traffic or vehicles columns forming in front of traffic lights. The influence of traffic dynamics on the risk estimation is not assessed with standard methodologies. Here we show, by mean of a dynamic traffic simulator, that the traffic variations may greatly influence the risk estimation over time. The risk is analysed on several alpine road sections in Switzerland using a dynamic vehicles approach and compared with the results of the static methodology. It demonstrates that risk significantly increases on sinuous sections because of the decreasing of vehicles speed. A more realistic risk can be obtained from a dynamic approach especially on mountain roads. A dynamic traffic simulator, modelling interactions between vehicles is a helpful tool to support decision making to reduce risk on roads.
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Wu, Yingying, Zhen Xu, Chenxi Liang, and Ruizhuo Song. "Post-Earthquake Traffic Simulation Considering Road Traversability." Sustainability 14, no. 18 (September 6, 2022): 11145. http://dx.doi.org/10.3390/su141811145.
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Post-earthquake road traversability is a critical factor that affects traffic conditions. Therefore, a post-earthquake traffic simulation method considering road traversability was proposed in this study. First, the impact ranges of the earthquake-induced building collapse and the post-earthquake fire spread of buildings were analyzed, and road traversability was determined accordingly. Subsequently, the post-earthquake traffic flow was predicted based on building characteristics, and micro-level vehicle behaviors were simulated considering post-earthquake road traversability to determine the traffic conditions. In addition, the simulation model was validated using actual data. Finally, a segment of the Tongzhou road network in Beijing was selected as a case study to analyze post-earthquake road traversability and simulate traffic conditions on critical road sections. The proposed method can provide post-earthquake traffic conditions, which benefits the decision-making of post-earthquake evacuation and rescue.
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Esser, J., and M. Schreckenberg. "Microscopic Simulation of Urban Traffic Based on Cellular Automata." International Journal of Modern Physics C 08, no. 05 (October 1997): 1025–36. http://dx.doi.org/10.1142/s0129183197000904.
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Saturated capacities in traffic systems evoke increasing interest in simulations of complex networks serving as laboratory environment for developing management strategies. Especially for urban areas questions concerning overall traffic control have to be considered with regard to their impacts on the whole network. Modeling traffic flow dynamics using cellular automata allows us to run large network traffic simulations with only comparatively low computational efforts. We present a traffic simulation tool for urban road networks which is based on the Nagel–Schreckenberg Model. Arbitrary kinds of roads and crossings are modeled as combinations of only a few basic elements. Furthermore parking capacities are considered as well as circulations of public transports. The vehicles are driven corresponding to route plans or at random depending on the available data. The application of this network simulation covers investigations on the field of traffic planning as well as online simulations based on real-time traffic data as basis for dynamic traffic management systems.
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Voumard, J., O. Caspar, M. H. Derron, and M. Jaboyedoff. "Dynamic risk simulation to assess natural hazards risk along roads." Natural Hazards and Earth System Sciences 13, no. 11 (November 5, 2013): 2763–77. http://dx.doi.org/10.5194/nhess-13-2763-2013.
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Abstract. Risk generated by natural hazards on roads is usually calculated with equations integrating various parameters related to hazard and traffic. These are static variables, like an average number of vehicles crossing this section every day and an average vehicle speed. This methodology cannot take into account dynamic variations of traffic and interactions between vehicles such as speed modifications due to windy roads, slowdowns resulting from saturated traffic or vehicle tailbacks forming in front of traffic lights. Here we show, by means of a dynamic traffic simulator, that traffic variations may greatly influence the risk estimation over time. The risk is analysed on several sections of an Alpine road in Switzerland using a dynamic vehicles approach, and compared with the results of the static methodology. It demonstrates that risk can significantly increase on sinuous sections because of decreasing vehicle speed. For example, along an 800 m-long section of road containing two hairpin bends, the dynamic risk is about 50% higher than the static one. Badly placed signalization, slowing down, or stopping the vehicles in a hazardous area may increase the risk by about 150% (i.e. 2.5 times higher) along a straight road section where vehicles speed is high. A more realistic risk can thus be obtained from a dynamic approach, especially on mountain roads. The dynamic traffic simulator developed for this work appears to be a helpful tool to support decision-making in reducing risk on mountain roads and it shows the importance of keeping the traffic moving as freely as possible.
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Liu, Zhen Yu, Rui Qing Yan, and Zhi Hui Song. "The Intersection Optimization Problem of New Road in Hohhot." Applied Mechanics and Materials 587-589 (July 2014): 2109–13. http://dx.doi.org/10.4028/www.scientific.net/amm.587-589.2109.
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With the rapid development of the city in Hohhot, new road has increased year by year. The full use of road resources will be achieved and the traffic congestion in future will be prevented by the traffic organization optimization of new road intersection. In this paper, through the investigation on new road intersection in Hohhot, the characteristics of new road intersection are conducted, and the existing problems are pointed out, and then some corresponding improvement measures are put forward. Take the intersection of Wuliying road in Xilinguole South road, one of new trunk roads, as an example to construct the intersection simulation model by using VISSIM software, and then compare and analysis the traffic evaluation parameters before and after the implementation of related measures. The simulation results show that through the reasonable optimization measures, the level of service of the intersection and the utilization rate of road resources can be improved to a certain extent, which will contribute to the prevention of traffic congestion in the future.
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Liu, Huasheng, Haoran Deng, Jin Li, Yuqi Zhao, and Sha Yang. "Simulation analysis of school road traffic characteristics." DYNA 91, no. 231 (January 31, 2024): 37–46. http://dx.doi.org/10.15446/dyna.v91n231.109853.
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This study aims to identify key factors and sensitive intervals affect the school road traffic characteristics. We collect traffic data from the parking area and the school road (400-700 meters). The simulation is calibrated to ensure the error of outputs are within 1.5%. A sensitivity analysis method is proposed, it makes the multifactor comparable. The sensitivity factors of vehicle delay, queue length, and average speed are 1.44, 2.03, and 0.28 in school road, and the bottleneck road are 3.07, 4.44, and 0.65. The traffic indicators change more concentrated in bottleneck road but greater in school road. 6 scenarios are created to analyze school road traffic characteristics. Traffic flow (TF), number of parking spaces (NPS), and stopping time (ST) are selected as variables. Scenarios 1-3 are univariate, and scenarios 4-6 are bivariate. TF is the key factor with a sensitivity interval of [1300,1700].
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Yu, Yi, Liang Wang, Xianglun Mo, Yao Yu, and Mei liu. "Macroscopic Fundamental Diagram based Road Network Characteristics Identification and Simulation." E3S Web of Conferences 165 (2020): 04051. http://dx.doi.org/10.1051/e3sconf/202016504051.
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As an inherent property of the road network, macroscopic fundamental diagram (MFD) method can effectively describe the traffic status of the urban roads and identify the relationship among key factors, such as traffic flow and occupancy. Currently, using MFD is easily affected by various network inner factors including topology and road density, so in this paper we propose a method to identify inner characteristic of road network and do a series of comparisons under different scenarios with fixed traffic input circumstance. The differential impact of data collector setting locations are discussed with a aim to reveal the respective location setting suitable for various networks conditions in initial; then road topology and density are designed in road network and simulated MFD performances with flow equilibrium affections. It is shown as the dispersion decreasing of link length or road density of network, the network exhibits better operation efficiency so as to increase the output of link flow and the dissipative ability of the road network. Meanwhile, the equivalent of entrances and exits is proved as another important factor has same impact on MFD.
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Melova, Tatiana, Martin Kolousek, and Tomas Priscak. "3D Traffic Noise Simulation." Applied Mechanics and Materials 617 (August 2014): 116–19. http://dx.doi.org/10.4028/www.scientific.net/amm.617.116.
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The main task of this contribution was to explain the ways of the spread of noise pollution from the traffic. Descriptive simulation explains justification of each road construction by a simple way. It is confirmed that the projects which had contained a noise study simulation were easier to enforce for public than those without it. Also vegetation growth simulation in different time horizons is already slowly becoming an important part of the urban transport projects, due to the increasing of environmental pressure. Practice shows that the design value of these simulations is increasing because of the rising of the global traffic load.
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Yang, Xiao Long, Ping Li, Tao Lv, and Xue Hua Liao. "Traffic Accident Reconstruction Technology Research." Advanced Materials Research 756-759 (September 2013): 946–51. http://dx.doi.org/10.4028/www.scientific.net/amr.756-759.946.
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Based on the virtual simulation theory, we used three-dimensional modeling software to build modeling road facilities (vehicles, trees, street lights, etc.) for simulating the accident environment, and by using OpenGL technology, achieved reading, displaying and controlling the three-dimensional models. This dynamically realized the three-dimensional animated simulation of vehicle movement. Simultaneously we have calculated in progress the simulation of vehicle crash with the basic theory of automobile collision, vehicle collision model and the law of conservation of energy and momentum. Finally, we constructed a flexible platform for the simulation experiment. The platform is enabling to add and update road, trees, street lamps and house on the simulation environment dynamically, and has ability to analysis the traffic accident. This could give an assistant to the handling traffic accidents.
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Yajima, Hayato, and Kazumasa Takami. "A Yielding Protocol that Uses Inter-Vehicle Communication to Improve the Traffic of Vehicles on a Low-Priority Road at an Unsignalized Intersection." Future Internet 11, no. 5 (May 9, 2019): 110. http://dx.doi.org/10.3390/fi11050110.
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Self-driven vehicles are being actively developed. When widespread, they will help reduce the number of traffic accidents and ease traffic congestion. They will coexist with human-driven vehicles for years. If there is a mismatch between human drivers’ operations and the judgments of self-driven vehicles, congestion may arise at an unsignalized intersection, in particular, where roads are prioritized. Vehicles on the low-priority road attempting to cross, or turn to, the priority road can significantly reduce the traffic flow. We have proposed a yielding protocol to deal with this problem and evaluated it using a simulation that focused on traffic flow efficiency at an intersection. In the simulation, we have varied the number of vehicles coming into the roads and the percentage of self-driven vehicles and confirmed that the proposed yielding protocol could improve the traffic flow of vehicles on the low-priority road.
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Jungblut-Hessel, Roberta, Brigitte Plateau, William J. Stewart, and Bernard Ycart. "Fast simulation for Road Traffic Network." RAIRO - Operations Research 35, no. 2 (April 2001): 229–50. http://dx.doi.org/10.1051/ro:2001108.
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Ambroz, M., S. Krasna, and I. Prebil. "3D road traffic situation simulation system." Advances in Engineering Software 36, no. 2 (February 2005): 77–86. http://dx.doi.org/10.1016/j.advengsoft.2004.07.007.
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Mecheva, Teodora, Radoslav Furnadzhiev, and Nikolay Kakanakov. "Modeling Driver Behavior in Road Traffic Simulation." Sensors 22, no. 24 (December 14, 2022): 9801. http://dx.doi.org/10.3390/s22249801.
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Driver behavior models are an important part of road traffic simulation modeling. They encompass characteristics such as mood, fatigue, and response to distracting conditions. The relationships between external factors and the way drivers perform tasks can also be represented in models. This article proposes a methodology for establishing parameters of driver behavior models. The methodology is based on road traffic data and determines the car-following model and routing algorithm and their parameters that best describe driving habits. Sequential and parallel implementation of the methodology through the urban mobility simulator SUMO and Python are proposed. Four car-following models and three routing algorithms and their parameters are investigated. The results of the performed simulations prove the applicability of the methodology. Based on more than 7000 simulations performed, it is concluded that in future experiments of the traffic in Plovdiv it is appropriate to use a Contraction Hierarchies routing algorithm with the default routing step and the Krauss car-following model with the default configuration parameters.
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Dashdamirov, Fuad, Umidulla Abdurrazzokov, Kamoliddin Ziyaev, Turan Verdiyev, and Ulvi Javadli. "Simulation testing of traffic flow delays in bus stop zone." E3S Web of Conferences 401 (2023): 01070. http://dx.doi.org/10.1051/e3sconf/202340101070.
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Traffic flows are subject to certain delays due to the maneuvering of buses entering and leaving the stop. The study of how these delays change depending on the frequency of arrival of buses to a stop and, the change of lanes on the road, the intensity of the traffic flow on the road is important in organizing traffic and planning the movement of buses along the route. The article uses simulation models built in the PTV VISSIM program to estimate the delay time of the traffic flow on 2, 3, and 4 lane roads for 4 different values of the intensity of the traffic flow and 5 different values of the bus arrival frequency at the stop. The results obtained are analyzed. The changing nature of traffic flow delays in various scenarios has been studied.
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Šinko, Simona, and Roman Gumzej. "Towards Smart Traffic Planning by Traffic Simulation on Microscopic Level." International Journal of Applied Logistics 11, no. 1 (January 2021): 1–17. http://dx.doi.org/10.4018/ijal.2021010101.
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In this paper the consequences of road closures considering the introduction of a smart city solution, namely traffic simulation on micro level, are analyzed. The use-case comes from the city of Maribor in Slovenia with about 100 thousand inhabitants. To perform the analyses, the open source road traffic simulation package SUMO (simulation of urban mobility) has been employed to analyze the effects of the introduction of traffic regulations in real environment. Using it by experts in a plan-do-check-act loop, multiple scenarios with lesser impact of traffic regulations, as opposed to ad-hoc scenarios usually employed (e.g., for road works, events, etc.), can be considered and the best one chosen, leading to a smart city solution.
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Danišovič, Peter, František Schlosser, Juraj Šrámek, and Martin Rázga. "Simulator of Road Tunnel." Civil and Environmental Engineering 11, no. 1 (May 1, 2015): 45–50. http://dx.doi.org/10.1515/cee-2015-0006.
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Abstract A Tunnel Traffic & Operation Simulator is a device of the Centre of Transport Research at the University of Žilina. The Simulator allows managing technological equipment of virtual two-tube highway tunnel, which is interconnected with simulation of vehicle traffic in tunnel. Changes of the traffic-operation states and other equipment are reflecting at the simulated traffic, as well as simulations of various emergency events in traffic initiate changes in tunnel detecting and measuring devices. It is thus possible to simulate emergency states, which can be affected by various faults of technology as well as by climatic conditions. The solutions can be found in irreplaceable experiences of Slovak road tunnel operators, changes of trafficoperation states, visualizations of operator technological display screens, technological devices labelling in order to increase operational safety of road tunnels.
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Kiec, M., M. Tracz, and S. Gaca. "Design of Cross-Section on Roads Through Built-Up Areas." Archives of Civil Engineering 58, no. 3 (September 1, 2012): 243–57. http://dx.doi.org/10.2478/v.10169-012-0015-y.
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Abstract The research into the use of less costly modifications of road links and networks, and changes in the service of road surroundings aimed at ensuring an improvement of through traffic performance in suburban areas, and on roads passing through built-up areas as small localities, with application of simulation model, is presented in this paper. From among possible designs, the authors investigated and presented the effectiveness of two, i.e. implementation of an additional multifunctional median lane in the road cross-section, and construction of service roads with different locations of intersections (end or middle of the road section).The analysis is focused on the impact of such changes on traffic performance and road safety. The authors analysed travel speed, delay and share of platoon traffic on a uniform sections of the road for different types of road surroundings service. The study presents the results of analyses of road network before and after modification, and the assessment of:• impact of access points density and level of their use on road traffic performance,• impact of driving through road sections in built-up area on building platoon traffic,• impact of change in the cross-section type on traffic performance.
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Coman, Marin-Marian, and Dorel Badea. "The Vehicles Traffic Flow Optimization in an Urban Transportation System by Using Simulation Modeling." Land Forces Academy Review 22, no. 3 (September 26, 2017): 190–97. http://dx.doi.org/10.1515/raft-2017-0026.
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Abstract The urban transportation system is characterized by the urban roads development and growth of road traffic, which leads, most of the time, to a series of congestions in the vehicles traffic. Consequently, due to a high time duration spent on the road traffic, the travel time from a location to another one could be very upsetting for any car drivers, or embarrassing for emergency services and vehicle convoys that carry goods or sensitive items. Those are mainly reasons for using simulation modeling to analyze and optimize the travel time of the road traffic actors in the an urban transportation system. This paper focuses on optimization vehicles flow in a crowded area of Sibiu city, by using agent-based modeling concept and AnyLogic simulation modeling software.
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Hussein, Sherif E., and Sarwat Zahwi. "Multi-Agent Based Chaotic Traffic Simulation for Cairo Ring Road." Key Engineering Materials 613 (May 2014): 363–73. http://dx.doi.org/10.4028/www.scientific.net/kem.613.363.
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Transportation simulations are an important part of today’s decision making process for transport infrastructure and management. While proposed changes are getting more and more complex, tools supporting the decision making process are struggling to keep up. Traditional, flow-based traffic assignment tools are limited in the number of different person groups that can be distinguished and do in most cases not offer fully time-dynamic results. Newer technologies like agent-based simulations overcome those problems. This paper presents a novel traffic simulation scheme capable of modeling chaotic motorway traffic. Different from other lane-based or following-based approaches, the proposed approach models traffic as a large navigational problem in an agent based simulation context. In addition, the approach is efficiently able to handle hard cases like overtaking, behavior at turning and aggressive driving behavior. The simulation was demonstrated at real-time rates using MATSim applied to Cairo Ring Road. It has been described as well how MATSim simulation was extended to incorporate aggressive and careless drivers' behavior.
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Besenczi, Renátó, Norbert Bátfai, Péter Jeszenszky, Roland Major, Fanny Monori, and Márton Ispány. "Large-scale simulation of traffic flow using Markov model." PLOS ONE 16, no. 2 (February 9, 2021): e0246062. http://dx.doi.org/10.1371/journal.pone.0246062.
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Modeling and simulating movement of vehicles in established transportation infrastructures, especially in large urban road networks is an important task. It helps in understanding and handling traffic problems, optimizing traffic regulations and adapting the traffic management in real time for unexpected disaster events. A mathematically rigorous stochastic model that can be used for traffic analysis was proposed earlier by other researchers which is based on an interplay between graph and Markov chain theories. This model provides a transition probability matrix which describes the traffic’s dynamic with its unique stationary distribution of the vehicles on the road network. In this paper, a new parametrization is presented for this model by introducing the concept of two-dimensional stationary distribution which can handle the traffic’s dynamic together with the vehicles’ distribution. In addition, the weighted least squares estimation method is applied for estimating this new parameter matrix using trajectory data. In a case study, we apply our method on the Taxi Trajectory Prediction dataset and road network data from the OpenStreetMap project, both available publicly. To test our approach, we have implemented the proposed model in software. We have run simulations in medium and large scales and both the model and estimation procedure, based on artificial and real datasets, have been proved satisfactory and superior to the frequency based maximum likelihood method. In a real application, we have unfolded a stationary distribution on the map graph of Porto, based on the dataset. The approach described here combines techniques which, when used together to analyze traffic on large road networks, has not previously been reported.
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Zahwa, Firas, Chi-Tsun Cheng, and Milan Simic. "Novel Intelligent Traffic Light Controller Design." Machines 12, no. 7 (July 11, 2024): 469. http://dx.doi.org/10.3390/machines12070469.
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Efficient traffic flow management at intersections is vital for optimizing urban transportation networks. This paper presents a comprehensive approach to refining traffic flow by analyzing the capacity of roads and integrating fuzzy logic-based traffic light control systems. We examined the capacity of roads connecting intersections, considering factors such as road vehicle capacity, vehicle speed, and traffic flow volume, through detailed mathematical modeling and analysis. Control is determined by the maximum capacity of each road segment, providing valuable insights into traffic flow dynamics. Building upon this capacity and flow analysis, the research introduces a novel intelligent traffic light controller (ITLC) system based on fuzzy logic principles. By incorporating real-time traffic data and leveraging fuzzy logic algorithms, our ITLC system dynamically adjusts traffic light timings to optimize vehicle flow at two intersections. The paper discusses the design and implementation of the ITLC system, highlighting its adaptive capabilities in response to changing traffic conditions. Simulation results demonstrate the effectiveness of the ITLC system in improving traffic flow and reducing congestion at intersections. Furthermore, this research provides an analysis of the mathematical models used to calculate road capacity, offering insights into the underlying principles of traffic flow optimization. Through the simulation, we have validated the accuracy and reliability of our controller.
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Yüksekkaya, Fatih, Norman Franchi, and Maximilian Lübke. "On the Detection of Vulnerable Road Users—Simulating Limits of an FMCW Radar." Electronics 13, no. 13 (June 28, 2024): 2547. http://dx.doi.org/10.3390/electronics13132547.
Full textAbstract:
The complexity of urban traffic environments poses unique challenges for automotive radar sensors. Limited range and Doppler resolution hinder the ability to distinguish closely spaced objects and detect vulnerable road users, particularly pedestrians. Therefore, it is important to know the limits of FMCW radars. To assess these limitations, the WinProp channel simulator is used to model and simulate traffic scenarios regarding the detection of the range, velocity, and SNR of targets. To validate WinProp as a simulation tool for traffic scenarios, a real traffic scenario is configured and the simulation results compared to the measurement results in order to demonstrate the suitability of WinProp for simulating traffic scenarios and evaluating radar detection performance. The close agreement between the simulation and measurement results provides validation for WinProp’s accuracy in modeling detections and signal processing within traffic scenarios. To showcase the limitations of FMCW radars, two scenarios with challenging detection conditions are simulated: an occluded pedestrian between parked vehicles and a densely populated road. A monostatic setup with a single patch antenna and a 16 × 16 patch antenna array is evaluated, using chirp bandwidths of 1 GHz and 4 GHz. The simulations have shown that although it is feasible to detect an occluded pedestrian by multipath propagation, there is still a need in improving the detection performance when there is no multipath from an occluded pedestrian. Furthermore, the results indicate that higher bandwidth improves target separation but is insufficient for occluded pedestrian detection without multipath. However, with some targets, even the range resolution at 4 GHz was not sufficient, which required a separation in the Doppler dimension, emphasizing the need for overall resolution improvement of FMCW radars. Future work should focus on developing more complex road user models and simulating a broader range of scenarios to comprehensively evaluate radar performance in road traffic environments.
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Zhao, Fei, Liping Fu, Ming Zhong, Shaobo Liu, Xudong Wang, Junda Huang, and Xiaofeng Ma. "Development and Validation of Improved Impedance Functions for Roads with Mixed Traffic Using Taxi GPS Trajectory Data and Simulation." Journal of Advanced Transportation 2020 (February 21, 2020): 1–12. http://dx.doi.org/10.1155/2020/7523423.
Full textAbstract:
This paper proposes an improved impedance function for roads with mixed traffic. It is known that only limited studies consider the impact of nonmotorized traffic on travel impedance of a road segment, and a comparison of the impedance considering nonmotorized traffic with the classic BPR function, which does not consider the former, is scarce. Most of the previous studies targeted road conditions in developed countries, where the presence of nonmotorized traffic is negligible, and therefore limited efforts have been invested to develop improved impedance function considering mixed traffic. To overcome this limitation, this paper develops an improved impedance function and carries out a case study for a road in the city of Wuhan, China. The improved impedance function explicitly considers the interaction between motorized and nonmotorized traffic. Taxi GPS data from the case study road is used to extract and analyze the travel time of the “probe vehicles” running through the sampled segment at any time during a sampling day. The capacity of the road segment is measured, and the traffic flow of motorized vehicles and nonmotorized vehicles on the segment is counted. Based on the above data, the classic BPR function and the improved one proposed in this paper are calibrated. After comparing and analyzing the observed road impedance based on both analytical and simulation results, the classic BPR function and the proposed impedance function, the proposed impedance function is found to be more accurate to simulate the observed road impedance, with the error reducing from 14.83 s with the classic BPR impedance function to 6.50 s with the improved function. The proposed impedance function possesses a simple structure and high flexibility, and the parameters calibrated in this paper can be applied to similar roads to provide more realistic impedance than the previous ones based on the classic BPR function. The calibrated improved impedance function’s transferability to other similar roads is validated by applying it to another road and the results show that the percentage error between the predicted travel times and the observed ones is only 3.8%.
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Wang, Liang, Yu Jie Wang, and Ling Yu Wang. "Simulation Research of Flow and Speed on Urban Expressway Interchange Entrance." Advanced Materials Research 779-780 (September 2013): 796–99. http://dx.doi.org/10.4028/www.scientific.net/amr.779-780.796.
Full textAbstract:
The urban expressway overpass entrance is an important node of the urban road system. Traffic jams often happen at entrance. The characteristics of urban expressway entrance and the advantages of the microscopic traffic simulation were combined to analyze capacity of entrance. VISSIM simulation software was used and the validity of the simulation model was verified. The influence of the main road traffic flow and the desired speed of entrance to flow and speed of the urban expressway entrance were analyzed through simulation experiment. On the whole, traffic capacity of urban expressway entrance reduces with the increase of traffic flow on the main road. The higher the desired speed is, the faster traffic capacity reduces. The increase of speed and control of main road traffic flow is of great significance for improving the capacity and service level of expressway.
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Yang, Choong Heon, Hoe Kyoung Kim, Jin Guk Kim, and Soullam Kim. "Impact of an automated road debris removal system on traffic flow using VISSIM." SIMULATION 96, no. 9 (June 19, 2020): 725–35. http://dx.doi.org/10.1177/0037549720931159.
Full textAbstract:
This study introduces a state-of-the-art road debris removal system (i.e., automated road debris removal system (ROBOS)) and analyzes its impact on traffic flow using the microscopic simulation model, VISSIM. Robust simulation scenarios were established, and the major parameters of individual scenarios were also included based on extensive interviews with road workers. The performances of road workers and the ROBOS in regard to road debris removal were investigated in terms of four measures of effectiveness. These included queue, density, percentage delay, and number of vehicle stops. To mimic the major arterial roadways in South Korea, two-lane, three-lane, and four-lane roads were considered for implementing the road debris removal process. The simulation results as well as the statistical analysis revealed that the ROBOS outperforms the direct removal by road workers in all aspects. Thus, the ROBOS can remove the debris more safely and efficiently. The findings of this research can improve institutional operational guidelines for the ROBOS by providing an appropriate range for its parameters. This can result in enhancing traffic safety and efficiency. Notwithstanding the simulation results, the more unexpected cases, such as the driver carelessness during removal work, should be reflected in future research to thoroughly prevent the potential risk of accidents as well as maintaining smooth traffic flow.
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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.
Full textAbstract:
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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Campos, Carlos, João Miguel Leitão, and António Fernando Coelho. "Procedural Generation of Road Paths for Driving Simulation." International Journal of Creative Interfaces and Computer Graphics 6, no. 2 (July 2015): 37–55. http://dx.doi.org/10.4018/ijcicg.2015070103.
Full textAbstract:
Virtual environments for driving simulation aimed to scientific purposes require realistic three-dimensional models of roads. The creation of road models for these purposes, is usually preceded by the design of road paths which fulfill all the desired specific characteristics. Traditionally, the design of road paths is performed by road engineering specialists, resulting in a very time-consuming task. This paper presents a method that allows the procedural generation of road paths aimed to driving simulation experiments (e.g., ergonomics, psychology and traffic engineering). This method is inspired in methods used in roadways engineering, producing roads according to the design standards and similar to those found in the real world. This significantly reduces the need of specialists to prepare the road paths and generate road models suitable for conducting scientific work in driving simulators.
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Lu, Yiding, Zhan Zhang, Xinyi Fang, Linjie Gao, and Linjun Lu. "Resilience of Urban Road Network to Malignant Traffic Accidents." Journal of Advanced Transportation 2022 (May 6, 2022): 1–13. http://dx.doi.org/10.1155/2022/3682472.
Full textAbstract:
Malignant traffic accidents are typical devastating events suffered by the urban road network. They cause severe functional loss when loading on the urban road network is high, exerting a significant impact on the operation of the city. The resilience of a road network refers to its ability to maintain a certain level of capacity and service when disturbed by external factors and to recover after a disturbance event, which is a crucial factor in the construction of transportation infrastructure systems. A comprehensive understanding of the adverse effects of malignant traffic accidents on the urban road network is imperative, and resilience is a concept employed to systematically explain this. This study investigates the impact of malignant traffic accidents on the resilience of the urban road network. A simulation is carried out focusing on an ideal urban road network, describing the temporal and spatial distribution of the average speed of road sections in the network. Inspired by the simulation experiment results, the ideal resilience curve is summarized, and the theory of resilience concept portrayal is innovatively developed into “6R” (redundancy, reduction, robustness, recovery, reinforcement, and rapidity). Combining the topological and “6R” resilience attributes of the urban road network, the urban road network resilience evaluation system is constructed, which yields an all-round and full-process evaluation for the urban road network with malignant traffic accidents. Results show that under malignant traffic accidents, the resilience of high-class surface roads, such as primary roads, is the poorest, suggesting that more attention and resources must be devoted to high-class surface roads. This study on the urban road network deepens the understanding and portrayal of its resilience and proposes an evaluation method to analyze its performance under disruption events.
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Devendra Kumar, Pallavi Singh, Rajesh Keshavrao Deshmukh,. "Optimizing VANET Communication through Realistic Traffic Simulation." Tuijin Jishu/Journal of Propulsion Technology 44, no. 4 (October 16, 2023): 3221–31. http://dx.doi.org/10.52783/tjjpt.v44.i4.1458.
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This article explores the optimization of communication in Vehicular Ad-Hoc Networks (VANETs) through the use of realistic traffic simulation in Raipur City, located in the state of Chhattisgarh. VANETs are a specialized type of Mobile Ad-Hoc Networks (MANETs) that enable vehicles to communicate with each other and with roadside infrastructure, improving road safety, traffic efficiency, and providing additional services. However, VANETs encounter challenges due to the dynamic nature of vehicular environments, including high mobility, intermittent connectivity, and varying traffic conditions. To address these challenges, this study proposes the Integration to Message Exchange (IME) method, which incorporates realistic traffic simulation into VANET communication optimization strategies. Realistic traffic simulation models vehicle behavior and interactions with the road network, considering factors such as traffic flow, congestion, and road conditions. By integrating this simulation into VANET communication optimization algorithms, the performance of the proposed IME method and other routing strategies is evaluated under realistic traffic scenarios. The results demonstrate that the IME method significantly improves message delivery rates and reduces message latency compared to the D-LAR and AODV routing methods. In comparison to the DLAR method, the IME method increases the packet delivery ratio by 4.82%, reduces end-to-end delay by 4.0%, increases throughput by 4.85%, decreases routing overhead by 8.79%, and normalizes routing load by 7.71%. The city of Raipur in Chhattisgarh is the geographical context for this research. Raipur is a rapidly growing urban area with diverse traffic patterns and road conditions. By conducting experiments and simulations in this specific setting, the findings of this study can directly address the challenges faced by VANETs in Raipur City.
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Barua, Saurav. "INFLUENCE OF BUS BAY AND CURBSIDE BUS STOP IN AN URBAN ROAD." International Journal of Students' Research in Technology & Management 8, no. 3 (July 1, 2020): 14–19. http://dx.doi.org/10.18510/ijsrtm.2020.833.
Full textAbstract:
Purpose of Study: The purpose of this study is to investigate the efficiency of bus bay compare to the curbside bus stop in a midblock road segment of Dhaka city.
Methodology: Vehicle composition and traffic volume were counted on-peak hours for the midblock of Azimpur road near the existing bus stop. Simulation models were developed in VISSIM, where Model 1 represented the existing road scenario with curbside bus stop, and Model 2 represented the same road segment with a bus bay.
Main findings: The simulation result showed that Model 2 outperformed Model 1 due to the presence of bus bay. Comparing Model 1, travel time and delay reduced by varying 1.80% to 12.5% and 6.25% to 100% respectively in Model 2 during the simulation. Similarly, average speed increased by 1.39% and density decreased by 61.29% in model 2.
Application of this study: Curbside bus stops result in abrupt halt, disrupt traffic flow, and queuing of the small-sized vehicle behind buses. These bus stops caused traffic congestion and delays in urban roads which can be alleviated by alternatives, such as, bus bay.
The novelty of this study: The bus bay is a good alternative to the curbside bus stop, which can improve existing traffic conditions in urban roads.
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Huang, Min, Ming Lei Rao, Min Li, and Zhong Ming Niu. "Lane-Based Road Network Model and its Application in Simulation Road Network Modeling." Applied Mechanics and Materials 253-255 (December 2012): 1351–55. http://dx.doi.org/10.4028/www.scientific.net/amm.253-255.1351.
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Traffic road network is one of the fundamental components in Intelligent Transportation System (ITS). This paper analyses the requirement for traffic road network in ITS, and constructs a lane-based road network model. The model which describes traffic network from different levels is composed of 5 kinds of elements: link, node, arc, lane and lane connector. In level-1, the basic unit of the model is link or arc, which represents the road section with the constant traffic organization. That means the number of lanes, the attributes of lane and the topological relationship between lanes in link or arc are constant. In level-2, lane and lane connector give the detail information of the network based on arcs. This model can support various research and application fields in ITS. Finally, we take the network modeling in traffic simulation as an example. The simulation traffic network in TransModeler is extracted automatically from the traffic network database that is constructed on the lane-based network model.
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Wang, Jianjun, Sai Wang, Xueqin Long, Dongyi Li, Chicheng Ma, and Peng Li. "Ellipse-Like Radiation Range Grading Method of Traffic Accident Influence on Mountain Highways." Sustainability 14, no. 21 (October 23, 2022): 13727. http://dx.doi.org/10.3390/su142113727.
Full textAbstract:
To improve the efficiency of accident treatment on mountain highways and reduce the degree of disruption from traffic accidents, the grading method of the ellipse-like radiation range of traffic accident impact is proposed. First, according to the propagation law of traffic accidents, the general function of mountain highways affected by traffic accidents was constructed based on the Gaussian plume model. Then, based on the gravity field theory, the influence of the accident source point on the accident road was analyzed in the aftermath of a supposed accident. Additionally, considering the cascading failure of the road network, the influence of the accident-intersecting roads was demarcated by the cascading failure load propagation function. Based on this analysis, the ellipse-like radiation range models of traffic accidents on the accident road and the intersecting roads were proposed, respectively. Next, the adjustment parameter was further introduced to incorporate the different levels of influence of traffic accidents on the surrounding road network into the model, and the grading impacts of the accident on the potentially utilized opposite lane were discussed. Finally, according to the queuing theory model, simulation design, and portability analysis, the accuracy of the ellipse-like radiation range grading model was verified. The research results show that, compared with queuing theory and simulation results, the error of the grading model of the ellipse-like radiation range affected by traffic accidents was within a reasonable range; that is, the model can reasonably quantify the difference of traffic accident propagation on the accident road and the intersecting roads. Moreover, the heterogeneity of traffic accident propagation was verified by taking the non-occupied opposite lanes as an example. The grading method of influence radiation range utilized for traffic accidents on mountain highways can quickly provide corresponding auxiliary decision support for accident rescue within varying influence ranges.
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Potuzak, Tomas. "Methods for division of road traffic network for distributed simulation performed on heterogeneous clusters." Computer Science and Information Systems 10, no. 1 (2013): 321–48. http://dx.doi.org/10.2298/csis120601006p.
Full textAbstract:
The computer simulation of road traffic is an important tool for control and analysis of road traffic networks. Due to their requirements for computation time (especially for large road traffic networks), many simulators of the road traffic has been adapted for distributed computing environment where combined power of multiple interconnected computers (nodes) is utilized. In this case, the road traffic network is divided into required number of sub-networks, whose simulation is then performed on particular nodes of the distributed computer. The distributed computer can be a homogenous (with nodes of the same computational power) or a heterogeneous cluster (with nodes of various powers). In this paper, we present two methods for road traffic network division for heterogeneous clusters. These methods consider the different computational powers of the particular nodes determined using a benchmark during the road traffic network division.
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Jiao, Qian Nan, Jian Jun Wang, and Ya Hui Han. "Comparative Simulation Analysis of Urban Arterial and Auxiliary Roads Connection Type." Applied Mechanics and Materials 361-363 (August 2013): 1919–22. http://dx.doi.org/10.4028/www.scientific.net/amm.361-363.1919.
Full textAbstract:
This paper use the different connection type of arterial roads and auxiliary road as the study subject, make the comparative analysis of traffic flow, traffic speed, distance of the import and export and ratio of weaving traffic flow in weaving area, then use the micro-simulation tool VISSIM to analysis the traffic volume and travel time of different connection type and offer related suggestions for their respective adaptability.
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Agusri, Erny, Muhammad Arfan, and Muhammad Arfan. "Analysis of traffic density onthree-way junction in Jalan Sukabangun 2 using Vissim simulations model." International Journal of Engineering & Technology 10, no. 2 (June 11, 2021): 124. http://dx.doi.org/10.14419/ijet.v10i2.31573.
Full textAbstract:
VISSIM is a Simulations model which means a city traffic simulation model. VISSIM is a simulation software used by professionals to create simulations from dynamic traffic scenarios before making real plans. This research was conducted to determine how traffic performance and traffic performance optimization at the junctions between the existing conditions and the Vissim program caused by congestion. An effective method for overcoming non-jammed junctions can be made using the VISSIM method. This study was conducted at THREE-WAY JUNCTION in Jl. Sukabangun 2 (South) - Jl. R.A Abusamah (West) - Jl. Sukabangun 2 (Utara) - Jl. BeringinSukabangun 2 (East). In this study, three variations were used, namely the traffic light method, the method of forbidden turning right, and the method of dividing the road and turning signs. The results of PTV Vissim simulation showed that the traffic light method has a quite high queue length, namely 79m compared to the existing condition of 63m, for the vehicle delay in this method is 98.954s. On the method of forbidden turning right from the direction of Jl. BeringinSukabangun 2 (East) has a low queue length of 0.287m compared to the existing condition of 63m. The vehicle delay in this method is 13.307s. The method of dividing the road and turning signs, the queue length is quite low at 1.147m compared to the existing condition of 63m. The vehicle delay in this method is 30,169s. The results of the simulation revealed that the most effective method at THREE-WAY JUNCTION in jalanSukabangun 2 is method of forbidden turning right, dividing the roads and turning signs.
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Li, Xiangcheng. "Traffic flow simulation study under large gathering activities based on VISSIM." Highlights in Science, Engineering and Technology 78 (December 26, 2023): 1–9. http://dx.doi.org/10.54097/f0hmkv35.
Full textAbstract:
Based on the above background, this paper starts from the theory of traffic flow and the macro-basic diagram, and simulates and researches the traffic congestion problems generated in the period of large-scale gathering activities during festivals. First of all, this paper summarizes the time correlation and spatial correlation of traffic flow, analyses the judgement method and rating index of traffic congestion, and completes the macroscopic basic map; after defining the simulation parameters of each road segment and signal intersection in the road network, it is implemented by using the VISSIM simulation software; finally, it carries out the simulation analysis with the example of the New Year's Eve firework display at the Chaotianmen Gate in Chongqing, and calculates and analyses the traffic flow state of the road network with output data, and then compares the output data with that of the road network. Finally, we use the output data to calculate and analyses the traffic flow status of the road network, compare it with the traffic flow data under the smooth period, judge the congestion characteristics, draw the macroscopic basic map of the road network under each period, simulate the changes of the macroscopic basic map, analyses the impact of traffic congestion on the traffic flow of the road network, calculate the degree of improvement of the traffic status of the network, and put forward the reasonable optimization scheme to provide a decision-making basis for the evacuation of the traffic under the festival and large-scale gathering activities.
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Ganesh Baraskar, Devendra. "STUDY ON ROAD TRAFFIC MULTIMODAL SIMULATION, COMPARITIVE STUDY ON SIMULATION SOFTWARES ON INTERSECTION AND ITS ROAD SAFETY AUDIT." International Journal of Engineering Applied Sciences and Technology 7, no. 1 (May 1, 2022): 122–27. http://dx.doi.org/10.33564/ijeast.2022.v07i01.018.
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In today’s world of advancements transportation engineering is the most focused branch in terms of software development. In order to provide a small part to this branch a comparative study is a must to identify the most efficient software for providing this work is important. To do this study in the project we need to identify the best software for simulations of vehicles in multimodal means is also of that importance. This also suggests the need of this softwares in use also. To do this designing a intersection is optimum. Also the Ministry of Works, Housing and Communications has a duty of care to all road users, and so has always been concerned with the safety of its roads. However, the significant increase in road crashes in recent years has prompted the Ministry to intensify its efforts to promote road safety. One small part of this effort are new procedures to ensure that the safety of all road schemes is checked by specialists before construction this is called safety auditing. demand for transportation, safety is an issue of major social concern and an area of extensive research work. The rate of Crashes in developing countries like India increases year by year. A Crash is an unplanned and uncontrolled event, which occurred on a road open to a public traffic resulting in personal injury, damages to the property and loss of life in which at least one moving vehicle was involved. In the world, India has world’s largest heavy traffic and accidents also. It is necessary to provide the safety to roads. Lack of infrastructure, interaction of vulnerable road users (VRU) with high-speed traffic, and faulty geometric design are some of the most alarming safety deficiencies identified through the audit process. The insights obtained from the RSA report could not have been gained from the Crash reports alone. Finally, countermeasures need to be suggested based on the observations made during the RSA.
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Setiabudi, I., and I. M. A. Hermawan. "Planning for alternative road development connecting East Balikpapan - North Balikpapan." IOP Conference Series: Earth and Environmental Science 879, no. 1 (October 1, 2021): 012017. http://dx.doi.org/10.1088/1755-1315/879/1/012017.
Full textAbstract:
Abstract Balikpapan City is one of the largest cities in the East Kalimantan region and a city that is developing quite rapidly. These developments include a high population number accompanied by a large number of new activity growths which create a considerable traffic pull around the city center. According to the 2012-2032 City Spatial Plan for Balikpapan City, the priority plan for road development is on Outer Ring Road III and other alternative roads which will become new activity centers in Karang Joang and Manggar sub-districts in Balikpapan City. The road network currently has the highest volume of 4288 pcu / hour with an average speed of 42 km / h and reaches a VCR of 0.8 which has 35 existing roads and 17 intersections. This study intends to improve traffic performance and aims to plan an alternative road network connecting East Balikpapan with North Balikpapan. Simulation analysis uses Visum software to produce the best conditions for handling traffic in Balikpapan City arteries, collectors and local roads where the current condition of the traveler has to go through the East, South, Central and North Balikpapan District network. The method used is the calculation of existing traffic performance and simulation to determine network volume, network speed, total distance and total travel time. The simulation results with the Visum model are the best conditions of traffic performance with an average volume of 762 pcu / hour, an average network speed of 42 km / hour, a total distance of 148487 km, and a total travel time of 3369 hours.
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Obaid, Mohammed, and Arpad Torok. "Macroscopic Traffic Simulation of Autonomous Vehicle Effects." Vehicles 3, no. 2 (April 29, 2021): 187–96. http://dx.doi.org/10.3390/vehicles3020012.
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The increasing worldwide demand on urban road transportation systems requires more restrictive measures and policies to reduce congestion, time delay and pollution. Autonomous vehicle mobility services, both shared and private, are possibly a good step towards a better road transportation future. This article aims to study the expected impact of private autonomous vehicles on road traffic parameters from a macroscopic level. The proposed methodology focuses on finding the different effects of different combinations of autonomous vehicle penetration and Passenger Car Units (PCU) on the chosen road traffic model. Four parameters are studied: traveled daily kilometers, daily hours, total daily delay and average network speed. The analysis improves the four parameters differently by implementing autonomous vehicles. The parameter total delay has the most significant reduction. Finally, several mathematical models are developed for the percentage of improvement for each chosen parameter.
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Pachaiappan, Velmurugan, Gulshan Taj Mohamed Nabi Anwarbasha, Malathy Ramalingam, and S. R. R. Senthil Kumar. "Traffic study using unmanned aerial vehicle & simulation of traffic flow at congested junctions of Salem City using hybrid approach." MATEC Web of Conferences 400 (2024): 03006. http://dx.doi.org/10.1051/matecconf/202440003006.
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The number of road accidents in 2022 increased by 11.9% compared to 2021. Similarly, the number of deaths and injuries on account of road accidents also increased by 9.4% and 15.3% respectively. Road collision incidences in India are increasing at a rate of 5% faster than the world average. Since everyone moves about a lot in their everyday lives, transportation has become a part of everyone’s existence. All people, regardless of age, must travel to do their daily tasks, which causes roadways to get blocked. This research examines how urbanization and industry are causing traffic congestion in the current environment. In the Salem Corporation specified road network, 162 road links were chosen for the study and surveyed with unmanned aerial vehicles. By adopting this digital aerial survey, local authorities may overcome their challenges in estimating the varied road network required at any time from all aspects. Drone have been used to conduct extensive investigations of the condition of the Five Roads Junction, Kondalampatti, Seelanaikanpatti, Shewapett, Junction Main Roads in the Salem district. The intersections were selected because they see a higher volume of traffic, particularly during peak hours. The manual traffic study was conducted to determine the reasons for traffic congestion. Pedestrian laws, appropriate bus stops, signalized junctions, and other measures can all be used to manage traffic. Unlike conventional methods, traffic simulation software such as PTV VISSIM and Any-logic are being used in this research to minimize the identified problems since it may be the alternative approach. This research deals with the Salem district traffic issue at five complex intersections and offers some fundamental remedies.
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Pamanikabud, Pichai, and Chaisri Tharasawatpipat. "Stop-and-Go Urban Traffic Noise Simulation and Prediction." Noise & Vibration Worldwide 33, no. 4 (April 2002): 17–24. http://dx.doi.org/10.1260/095745602320753156.
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This paper presents techniques for simulating of urban traffic noise along with a mathematical model of stop-and-go traffic noise for the road network in the city center. The road network in the central part of Bangkok surrounded by the cordon line of Rajchadapisek Ring Road was used as the study area. The analysed data consisted of traffic characteristics and its noise levels which were collected from the study area together with the geometrical dimensions of road sections at each data collection locations. Finally, the stop-and-go traffic noise models generated by this study in the form of acceleration and deceleration lane models, and their statistical goodness of fit tests are presented.