Real-time traffic simulation with a microscopic model

被引:44
|
作者
Maroto, Joaquin [1 ]
Delso, Eduardo [1 ]
Felez, Jesus [1 ]
Cabanellas, Jose Ma. [1 ]
机构
[1] Univ Politecn Madrid, ETS Ingn Ind, Graph Engn & Simulat Grp, E-28006 Madrid, Spain
关键词
microscopic model; real-time simulation; traffic model; traffic simulation;
D O I
10.1109/TITS.2006.883937
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
This paper describes a microscopic model that is able to simulate traffic situations in an urban environment in real time for use in driving simulators. Two types of vehicles are considered in the simulation, namely the user-driven vehicle at the center of the simulation model and the other vehicles that interact with it and its surroundings, which configure the developed traffic model. Simulation is performed in a reduced zone, called the control zone, surrounding the user-driven vehicle. This control zone is a mobile zone centered on the user-driven vehicle. The size of the control zone depends on the maximum number of vehicles involved simultaneously, the traffic density, and the driver's limit of visibility. The other vehicles involved in the traffic simulation are created or destroyed within the limits of the control zone. The general behavior of the traffic model is based on the following theory. Vehicles have an associated driver model that establishes several control functions for them to follow the path, while the steering, acceleration, and braking maneuvers follow certain models of behavior. A traffic light regulation is also included but only in the control area. The possibility of introducing anomalous traffic situations into the simulation is also considered, such as the presence of obstacles, abnormal maneuvers, etc. The developed model is immediately applicable to large-scale driving simulators for driver training, traffic control studies, and safety studies.
引用
收藏
页码:513 / 527
页数:15
相关论文
共 50 条
  • [21] Real-Time Simulation of Dynamic Traffic Flow with Traffic Data Assimilation Approach
    Kawasaki, Yosuke
    Hara, Yusuke
    Mitani, Takuma
    Kuwahara, Masao
    JOURNAL OF DISASTER RESEARCH, 2016, 11 (02) : 246 - 254
  • [22] Feasibility of traffic simulation for decision support in real-time regional traffic management
    Fries, Ryan
    Inamdar, Imran
    Chowdhury, Mashrur
    Taaffe, Kevin
    Ozbay, Kaan
    TRANSPORTATION RESEARCH RECORD, 2007, (2035) : 169 - 176
  • [23] A macro traffic flow model accounting for real-time traffic state
    Tang, Tie-Qiao
    Chen, Liang
    Wu, Yong-Hong
    Caccetta, Lou
    PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2015, 437 : 55 - 67
  • [24] Real-Time Corrected Traffic Correlation Model for Traffic Flow Forecasting
    Lu, Hua-pu
    Sun, Zhi-yuan
    Qu, Wen-cong
    Wang, Ling
    MATHEMATICAL PROBLEMS IN ENGINEERING, 2015, 2015
  • [25] A hybrid traffic flow model for real time freeway traffic simulation
    Zhang, Liguo
    Ma, Yong
    Shi, Liang
    KSCE JOURNAL OF CIVIL ENGINEERING, 2014, 18 (04) : 1160 - 1164
  • [26] Traffic simulation application to plan real-time distribution routes
    Franzese, O
    Joshi, S
    PROCEEDINGS OF THE 2002 WINTER SIMULATION CONFERENCE, VOLS 1 AND 2, 2002, : 1214 - 1218
  • [27] Remote simulation to evaluate real-time traffic control strategies
    Lucas, DE
    Mirchandani, PB
    Head, KL
    ADVANCED TRAFFIC MANAGEMENT SYSTEMS AND AUTOMATED HIGHWAY SYSTEMS 2000: HIGHWAY OPERATIONS, CAPACITY, AND TRAFFIC CONTROL, 2000, (1727): : 95 - 100
  • [28] Remote simulation to evaluate real-time traffic control strategies
    Lucas, D.E.
    Mirchandani, P.B.
    Head, K.L.
    Transportation Research Record, 2000, (1727) : 95 - 100
  • [29] Real-time environment for micro-simulation of urban traffic
    Kosonen, I
    Bargiela, A
    SIMULATION IN INDUSTRY 2001, 2001, : 382 - 386
  • [30] DynasTIM: A Real-time Online Traffic Simulation and Optimization System
    Lin, Yong
    2019 CHINESE AUTOMATION CONGRESS (CAC2019), 2019, : 163 - 168