Academic literature on the topic 'Urban Traffic Simulator'
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Journal articles on the topic "Urban Traffic Simulator"
De Palma, André, Fabrice Marchal, and Yurii Nesterov. "METROPOLIS: Modular System for Dynamic Traffic Simulation." Transportation Research Record: Journal of the Transportation Research Board 1607, no. 1 (January 1997): 178–84. http://dx.doi.org/10.3141/1607-24.
Full textFélez, Jesus, Joaquin Maroto, Gregorio Romero, and Jose M. Cabanellas. "A Full Driving Simulator of Urban Traffic including Traffic Accidents." SIMULATION 83, no. 5 (May 2007): 415–31. http://dx.doi.org/10.1177/0037549707083109.
Full textLouw, Cobus, Louwrens Labuschagne, and Tiffany Woodley. "Comparison of Reinforcement Learning Agents Applied to Traffic Signal Optimisation." SUMO Conference Proceedings 3 (September 29, 2022): 15–43. http://dx.doi.org/10.52825/scp.v3i.116.
Full textMital, Dinesh P. "An Intelligent Urban Traffic Network Controller and Simulator." IETE Technical Review 7, no. 1 (January 1990): 52–57. http://dx.doi.org/10.1080/02564602.1990.11438582.
Full textMital, Dinesh P. "An intelligent urban traffic network controller and simulator." Journal of Microcomputer Applications 12, no. 1 (January 1989): 75–85. http://dx.doi.org/10.1016/0745-7138(89)90008-0.
Full textMeng, Meng, Chunfu Shao, Jingjing Zeng, and Chunjiao Dong. "A simulation-based dynamic traffic assignment model with combined modes." PROMET - Traffic&Transportation 26, no. 1 (February 28, 2014): 65–73. http://dx.doi.org/10.7307/ptt.v26i1.1252.
Full textAl-Mousa, Amjed, Belal H. Sababha, Nailah Al-Madi, Amro Barghouthi, and Remah Younisse. "UTSim: A framework and simulator for UAV air traffic integration, control, and communication." International Journal of Advanced Robotic Systems 16, no. 5 (September 1, 2019): 172988141987093. http://dx.doi.org/10.1177/1729881419870937.
Full textKeler, Andreas, Patrick Malcolm, Georgios Grigoropoulos, and Klaus Bogenberger. "Designing Maps for Bicycling Simulator Studies – three practical Approaches." Proceedings of the ICA 4 (December 3, 2021): 1–4. http://dx.doi.org/10.5194/ica-proc-4-59-2021.
Full textKeler, Andreas, Patrick Malcolm, Georgios Grigoropoulos, Seyed Abdollah Hosseini, Heather Kaths, Fritz Busch, and Klaus Bogenberger. "Data-Driven Scenario Specification for AV–VRU Interactions at Urban Roundabouts." Sustainability 13, no. 15 (July 24, 2021): 8281. http://dx.doi.org/10.3390/su13158281.
Full textDiakaki, Christina, Vaya Dinopoulou, Kostas Aboudolas, Markos Papageorgiou, Elia Ben-Shabat, Eran Seider, and Amit Leibov. "Extensions and New Applications of the Traffic-Responsive Urban Control Strategy: Coordinated Signal Control for Urban Networks." Transportation Research Record: Journal of the Transportation Research Board 1856, no. 1 (January 2003): 202–11. http://dx.doi.org/10.3141/1856-22.
Full textDissertations / Theses on the topic "Urban Traffic Simulator"
Uh, Jason (Jason J. ). "Virtual urban traffic network simulator." Thesis, Massachusetts Institute of Technology, 2011. http://hdl.handle.net/1721.1/66818.
Full textCataloged from PDF version of thesis.
Includes bibliographical references (p. 41).
In this project, I designed and implemented a virtual urban traffic network simulator. The simulator serves as a testbed for human-subject experiments to determine driver behavior in road networks and also as a platform for testing route-planning algorithms. The simulator was implemented using the C4 game engine and OpenGL. The simulator is capable of producing both 3- and 2-dimensional visualizations of a traffic network. In this thesis, I describe the key components of the simulator, the necessary inputs, and the expected outputs. I verify operation of the simulator through observation of the actual system outputs.
by Jason Uh.
M.Eng.
Wright, Steven. "Supporting intelligent traffic in the Leeds driving simulator." Thesis, University of Leeds, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.274218.
Full textLackey, Nathan. "Simulating Autonomous Vehicles in a Microscopic Traffic Simulator to Investigate the Effects of Autonomous Vehicles on Roadway Mobility." The Ohio State University, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1555072367385629.
Full textAronsson, Karin F. M. "Speed characteristics of urban streets based on driver behaviour studies and simulation." Doctoral thesis, Stockholm : Division of transport och logistics, Royal Institute of Technology, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-4259.
Full textDe, Nunzio Giovanni. "Traffic eco-management in urban traffic networks." Thesis, Université Grenoble Alpes (ComUE), 2015. http://www.theses.fr/2015GREAT064/document.
Full textThe problem of energy-aware traffic management in urban environment is addressed. Such traffic management aims at reducing vehicle stops, accelerations, energy consumption, and ultimately congestion. The eco-management in urban traffic networks may be divided in two broad categories: vehicle-side control and infrastructure-side control. Both control domains can feature isolated or coordinated characteristics, depending on the type of information used in the optimization.The vehicle-side traffic management influences each single vehicle according to its own characteristics and position. Isolated vehicle control aims primarily at optimizing the powertrain and/or the driving profile of the vehicles, possibly using information about the road characteristics, but without communicating with the other agents of the traffic network. Coordinated vehicle control makes use of communication among vehicles and with the infrastructure in order to achieve larger benefits in terms of energy consumption and traffic fluidity.The infrastructure-side management, on the other hand, influences traffic lights and road side panels in order to improve the performance of the traffic as a whole. Isolated infrastructure control regulates essentially the traffic lights at a single signalized intersection, or the speed limits in a single stretch of road, without taking into account the interactions with the neighboring junctions and/or road sections. Coordinated infrastructure control overcomes this limitation by using information about traffic conditions in other road sections to alleviate congestion.The contributions of this work to the energy-aware traffic management may be summarized as follows.Firstly, a solution for the coordinated vehicle control has been proposed, in which communication with the infrastructure is exploited to reduce energy consumption. In particular, the traffic lights timings are assumed to be communicated to the vehicle and known, and the vehicle is suggested an optimal speed to drive through a sequence of signalized intersections without stopping, while following a minimum-energy trajectory. The proposed strategy, independently applied to each vehicle, has been tested in a microscopic traffic simulator in order to assess the impact on the traffic performance. The analysis has demonstrated that the energy consumption and the number of stops can be drastically reduced without affecting the travel time.Then, a solution for the isolated infrastructure control has been proposed. A macroscopic urban traffic model has been introduced, and the variable speed limits have been used as actuation to improve traffic performance. In particular, the analysis has been carried out at saturated traffic conditions, with given and fixed traffic lights scheduling. The optimization aims at reducing the energy consumption in trade-off with the average travel time of the vehicles in the considered road section. Experiments have demonstrated that there exists an optimal speed limit that improves traffic performance and reduces the length of the queue at the traffic light.Lastly, a solution for the coordinated infrastructure control has been proposed. Traffic lights coordination on arterials has been proved to be effective in terms of traffic delay reduction. Our analysis has demonstrated that an optimization problem can be cast to take into account also energetic aspects. Extensive experiments in a microscopic traffic simulator have showed that a correlation exists between traffic progression and traffic performance indexes, such as energy consumption, travel time, idling time, and number of stops. The proposed control strategy has showed that a significant reduction of energy consumption can be achieved, almost completely eliminating number of stops and idling time, without affecting the travel time
Soldado, Sérgio Torres. "FPGA urban traffic control simulation and evaluation platform." Master's thesis, Universidade de Aveiro, 2009. http://hdl.handle.net/10773/2190.
Full textThe study and development towards Urban Traffic Management and Control (UTMC) Systems have not solely or recently gained extreme importance only due to obvious issues such as traffic safety improvement, traffic congestion control and avoidance but also due to other underlying factors such as urban transportation efficiency, urban traffic originated air pollution and future concepts as are autonomous vehicle systems, which are presently taking shape. Generally speaking urban traffic simulations occur in a software environment, which comes to hinder the progress taken towards the actual implementation of UTMC systems. The reason to why such happens is based on the fact that urban traffic controllers are usually implemented and executed on hardware platforms, therefore software based models don‟t support an actual implementation directly. In this study we explore a novel approach to urban traffic simulation, aimed to eliminate the timeframe and work-distance between the UTMC system‟s design and an eventual implementation, where a Field Programmable Gate Array (FPGA) is used to execute a simulation model of an urban traffic network. Since the resource to FPGAs implies a hardware based execution, the resulting implementation of each traffic management and control element can be considered not only as having a close matched behavior to a real world implementation but also as an actual prototype. From the simulation viewpoint the use of FPGA‟s holds the prospect of being able to hold execution speeds many times faster than software based simulations as FPGA designs are able to execute a large number of parallel processes. This study shows that an Urban Traffic Control Simulation and Test Platform is possible by implementing a relatively simple urban network model in a low end FPGA. This result implies that with further time and resource investments a rather complex system can be developed which can handle large scale and complex UTMC systems with the promise of shortening the work distance between the concept and a real world running implementation.
Chiu, Yi-chang. "Generalized real-time route guidance strategies in urban networks." Access restricted to users with UT Austin EID Full text (PDF) from UMI/Dissertation Abstracts International, 2002. http://wwwlib.umi.com/cr/utexas/fullcit?p3077621.
Full textRichard, Julien. "Apport des SIG et de la réalité virtuelle à la modélisation et la simulation du trafic urbain." Thesis, Paris Est, 2018. http://www.theses.fr/2018PESC1058/document.
Full textMapping and spatial data visualization are increasingly used to communicate to a wide audience, while providing specific expertise. We want to illustrate the application of geographical information systems to 4D urban traffic simulation thanks to new technologies such as virtual reality headsets. Road flow can be described in equations by discrete simulation (car by car) and continuous simulation (as a fluid flow).Firstly, we study the cartography history, more particularly the city representation over time. Urban traffic management is a critical piece for urban planners. Its representation has changed both with precise tools uses, and with current issues. An increase in urbanization leads us to be more and more farsighted of urban flows. It's not only a road networks question. These urbanization problems impact other networks as sanitation which are undersized dealing with population and surfaces damp-proofing increases. It's the same problem with the water supply which has to be replaced to cover the population needs, and more generally with all underground networks. We also study in this part the road network model via graphs and hypergraphs to optimize the code. Indeed, the chosen model, developed by Mr. Bouillé, the HBDS representation, is close to the object oriented code writing and helps to well structure a network. Afterwards we describe the development criterion through the raw data choice and the computer languages. Raw data choice is important to get the most realist simulation. The fact to make simulation all over the world, and not only in France, is one of the aims of this work. That's why we do a data analysis to find the best data to supply simulations. Then we expose methods and achievements that we implement for this study. In this part, we present the code organization and the geomatic tools helping to the city traffic simulation. We build many algorithms before coding, to optimize the conception time and to strengthen the created model. Moreover we talk about the benefits of a decision support tool in this context via the implementation tools :- Computer simulation,- Expert System with Artificial Intelligence creation. At least, visual results and perspectives are discussed. We describe the graphical user interface which had to be user-friendly. Indeed, owner user interfaces are often complicated. It has to be approachable to offer wide tools depending on users fields. As part of our thematic, we can limit interactions with the user and focus on targeted uses on simulation. We can also see the immersion view uses as the stereoscopy, technique underused in actual GIS
Kecir, Abd-El-Karim. "Performance evaluation of urban rail traffic management techniques." Thesis, Rennes 1, 2019. http://www.theses.fr/2019REN1S026/document.
Full textUrban rail traffic is subject to numerous disrupting events that drift it from its nominal behavior. In order to minimize the impact of these disturbances, rail operators rely on a set of techniques. Despite their efficiency, performances of theses techniques are rarely well studied, nor are they of proven optimality; a direct consequence of them being empirically built. It is in this particular context that comes our work to provide solutions that allow for the evaluation of such techniques and for the comparison of their relative performances in various scenarios. The proposed approach is based on variants of Petri nets as models, and on the Monte-Carlo method for the simulation of their execution. This combination has led to the development of SIMSTORS, a tool for the simulation of urban rail systems, and more generally, stochastic systems under dynamic rescheduling. Additionally, this thesis addresses the question of timetable realizability; that is whether or not a given timetable is indeed realizable by a system for which it was built. Indeed, a timetable is meant to drive the behavior of a system but there is no guarantee as to its realizability. We therefore propose a method for the verification of the realizability of timetables with a strictly positive probability
Zhou, Yi. "The macroscopic fundamental diagram in urban network: analytical theory and simulation." Thesis, Georgia Institute of Technology, 2013. http://hdl.handle.net/1853/49111.
Full textBooks on the topic "Urban Traffic Simulator"
2009, Guo Min active, and Wu Jianping active 2009, eds. Dao lu jiao tong zu zhi you hua yu fang zhen ping jia li lun yu fang fa: Road traffic organisation and simulation evaluation. Beijing Shi: Ren min jiao tong chu ban she, 2009.
Find full textZundong, Zhang, and Qin Yong active 2013, eds. Cheng shi dao lu jiao tong wang luo duo mo tai jie gou dong tai xing yan jiu: Multimodal Dynamics of Urban Road Traffic Networks. Beijing: Ke xue chu ban she, 2013.
Find full textStopher, Peter R. Simulating household travel survey data in metropolitan areas. Baton Rouge, LA: Louisiana Transportation Research Center, 2003.
Find full textDaamen, Winnie, Serge P. Hoogendoorn, and Christine Buisson. Traffic Simulation and Data. Taylor & Francis Group, 2014.
Find full textWang, Fahui, and Yujie Hu. Gis-Based Simulation and Analysis of Intra-urban Commuting. Taylor & Francis Group, 2020.
Find full textGIS-Based Simulation and Analysis of Intra-Urban Commuting. Taylor & Francis Group, 2018.
Find full textEuropean Commission. Directorate-General for Transport, ed. Intramuros: Integrated urban transport concepts and systems. Luxembourg: Office for Official Publications of the European Communities, 1999.
Find full textTraffic Simulation and Data: Validation Methods and Applications. Taylor & Francis Group, 2014.
Find full textDaamen, Winnie, Serge P. Hoogendoorn, and Christine Buisson. Traffic Simulation and Data: Validation Methods and Applications. Taylor & Francis Group, 2014.
Find full textDaamen, Winnie, Serge P. Hoogendoorn, and Christine Buisson. Traffic Simulation and Data: Validation Methods and Applications. Taylor & Francis Group, 2014.
Find full textBook chapters on the topic "Urban Traffic Simulator"
Tokuda, Sho, Ryo Kanamori, and Takayuki Ito. "Development of Traffic Simulator Based on Stochastic Cell Transmission Model for Urban Network." In PRIMA 2014: Principles and Practice of Multi-Agent Systems, 150–65. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-13191-7_13.
Full textRegueros, Andres, Joseph N. Prashker, David Mahalel, and Ron Aharoni. "An Equilibrium Assignment Model Based on Simulated Delays." In Urban Traffic Networks, 351–75. Berlin, Heidelberg: Springer Berlin Heidelberg, 1995. http://dx.doi.org/10.1007/978-3-642-79641-8_14.
Full textKrajzewicz, Daniel. "Traffic Simulation with SUMO – Simulation of Urban Mobility." In Fundamentals of Traffic Simulation, 269–93. New York, NY: Springer New York, 2010. http://dx.doi.org/10.1007/978-1-4419-6142-6_7.
Full textFullerton, Matthew, Andreas Wenger, Mathias Baur, Florian Schimandl, Jonas Lüßmann, and Silja Hoffmann. "3D Visualization for Microscopic Traffic Data Sources." In Simulation of Urban Mobility, 83–96. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-662-45079-6_7.
Full textKastner, Karl-Heinz, Robert Keber, Petru Pau, and Martin Samal. "Real-Time Traffic Conditions with SUMO for ITS Austria West." In Simulation of Urban Mobility, 146–59. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-662-45079-6_11.
Full textSun, Jin-ping, Lei Chen, Rong Bao, Dan Li, and Dai-hong Jiang. "Video Monitoring System Application to Urban Traffic Intersection." In Simulation Tools and Techniques, 339–45. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-32216-8_32.
Full textLehsing, Christian, and Ilja T. Feldstein. "Urban Interaction – Getting Vulnerable Road Users into Driving Simulation." In UR:BAN Human Factors in Traffic, 347–62. Wiesbaden: Springer Fachmedien Wiesbaden, 2017. http://dx.doi.org/10.1007/978-3-658-15418-9_19.
Full textHoffmann, Silja, and Fritz Busch. "Simulation and Modelling Within the UR:BAN Project." In UR:BAN Human Factors in Traffic, 287–89. Wiesbaden: Springer Fachmedien Wiesbaden, 2017. http://dx.doi.org/10.1007/978-3-658-15418-9_15.
Full textBrilon, W., and N. Wu. "Evaluation of Cellular Automata for Traffic Flow Simulation on Freeway and Urban Streets." In Traffic and Mobility, 163–80. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/978-3-642-60236-8_11.
Full textHuber, F., and S. Kaufmann. "Time Soluted Assessment of Traffic Impacts in Urban Areas Based on Dynamic Traffic Simulation." In Traffic and Mobility, 259–70. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/978-3-642-60236-8_17.
Full textConference papers on the topic "Urban Traffic Simulator"
Saber, Takfarinas, Come Cachard, and Anthony Ventresque. "RONIN: a SUMO Interoperable Mesoscopic Urban Traffic Simulator." In 2020 IEEE 22nd International Conference on High Performance Computing and Communications; IEEE 18th International Conference on Smart City; IEEE 6th International Conference on Data Science and Systems (HPCC/SmartCity/DSS). IEEE, 2020. http://dx.doi.org/10.1109/hpcc-smartcity-dss50907.2020.00145.
Full textKostikj, Aleksandar, Milan Kjosevski, and Ljupcho Kocarev. "Validation of a microscopic single lane urban traffic simulator." In 2014 International Conference on Connected Vehicles and Expo (ICCVE). IEEE, 2014. http://dx.doi.org/10.1109/iccve.2014.7297671.
Full textKeler, Andreas, Jakob Kaths, Frederic Chucholowski, Maximilian Chucholowski, Georgios Grigoropoulos, Matthias Spangler, Heather Kaths, and Fritz Busch. "A bicycle simulator for experiencing microscopic traffic flow simulation in urban environments." In 2018 21st International Conference on Intelligent Transportation Systems (ITSC). IEEE, 2018. http://dx.doi.org/10.1109/itsc.2018.8569576.
Full textKostikj, Aleksandar, Milan Kjosevski, and Ljupcho Kocarev. "Development and calibration of a single lane urban traffic simulator." In 2013 International Conference on Connected Vehicles and Expo (ICCVE). IEEE, 2013. http://dx.doi.org/10.1109/iccve.2013.6799843.
Full textCai, Panpan, Yiyuan Lee, Yuanfu Luo, and David Hsu. "SUMMIT: A Simulator for Urban Driving in Massive Mixed Traffic." In 2020 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2020. http://dx.doi.org/10.1109/icra40945.2020.9197228.
Full textKudo, Nozomi, Takeshi Mizuma, and Hideo Nakamura. "A study of introducing an urban guideway transportation system using Traffic Flow Simulator." In 2011 IEEE International Conference on Service Operations and Logistics and Informatics (SOLI). IEEE, 2011. http://dx.doi.org/10.1109/soli.2011.5986605.
Full textCruz-Piris, Luis, Diego Rivera, Ivan Marsa-Maestre, Enrique De la Hoz, and Susel Fernandez. "Intelligent Traffic Light Management using Multi-Behavioral Agents." In XIII Jornadas de Ingenieria Telematica - JITEL2017. Valencia: Universitat Politècnica València, 2017. http://dx.doi.org/10.4995/jitel2017.2017.6494.
Full textSanchez-Medina, Javier, Elisa Medina-Machin, Moises Diaz-Cabrera, Manuel J. Galan-Moreno, and Enrique Rubio-Royo. "Overtaking and giving way: Design and validation of a lightweight extended cellular automata urban traffic simulator." In 2012 15th International IEEE Conference on Intelligent Transportation Systems - (ITSC 2012). IEEE, 2012. http://dx.doi.org/10.1109/itsc.2012.6338736.
Full textSalaani, M. Kamel, Gary J. Heydinger, Paul A. Grygier, and W. Riley Garrott. "Transport Delay Compensation for the Image Generator Used in the National Advanced Driving Simulator." In ASME 2003 International Mechanical Engineering Congress and Exposition. ASMEDC, 2003. http://dx.doi.org/10.1115/imece2003-42975.
Full textRocha, Francisco Wallison, Emilio Francesquini, and Daniel Cordeiro. "Fast SimEDaPE: Simulation Estimation by Data Patterns Exploration." In Escola Regional de Alto Desempenho de São Paulo. Sociedade Brasileira de Computação, 2022. http://dx.doi.org/10.5753/eradsp.2022.222246.
Full textReports on the topic "Urban Traffic Simulator"
Ringhand, Madlen, Maximilian Bäumler, Christian Siebke, Marcus Mai, and Felix Elrod. Report on validation of the stochastic traffic simulation (Part A). Technische Universität Dresden, 2021. http://dx.doi.org/10.26128/2021.242.
Full textFurman, Burford, Laxmi Ramasubramanian, Shannon McDonald, Ron Swenson, Jack Fogelquist, Yu Chiao, Alex Pape, and Mario Cruz. Solar-Powered Automated Transportation: Feasibility and Visualization. Mineta Transportation Institute, December 2021. http://dx.doi.org/10.31979/mti.2021.1948.
Full textSiebke, Christian, Maximilian Bäumler, Madlen Ringhand, Marcus Mai, Felix Elrod, and Günther Prokop. Report on integration of the stochastic traffic simulation. Technische Universität Dresden, 2021. http://dx.doi.org/10.26128/2021.246.
Full textSiebke, Christian, Maximilian Bäumler, Madlen Ringhand, Marcus Mai, Felix Elrod, and Günther Prokop. Report on design of modules for the stochastic traffic simulation. Technische Universität Dresden, 2021. http://dx.doi.org/10.26128/2021.245.
Full textKodupuganti, Swapneel R., Sonu Mathew, and Srinivas S. Pulugurtha. Modeling Operational Performance of Urban Roads with Heterogeneous Traffic Conditions. Mineta Transportation Institute, January 2021. http://dx.doi.org/10.31979/mti.2021.1802.
Full textSiebke, Christian, Maximilian Bäumler, Madlen Ringhand, Marcus Mai, Mohamed Nadar Ramadan, and Günther Prokop. Report on layout of the traffic simulation and trial design of the evaluation. Technische Universität Dresden, 2021. http://dx.doi.org/10.26128/2021.244.
Full textHartle, Jennifer C., Ossama (Sam) A. Elrahman, Cara Wang, Daniel A. Rodriguez, Yue Ding, and Matt McGahan. Assessing Public Health Benefits of Replacing Freight Trucks with Cargo Cycles in Last Leg Delivery Trips in Urban Centers. Mineta Transportation Institute, June 2022. http://dx.doi.org/10.31979/mti.2022.1952.
Full textPulugurtha, Srinivas S., and Raghuveer Gouribhatla. Drivers’ Response to Scenarios when Driving Connected and Automated Vehicles Compared to Vehicles with and without Driver Assist Technology. Mineta Transportation Institute, January 2022. http://dx.doi.org/10.31979/mti.2022.1944.
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