Modeling and simulation for driving behavior in mix-traffic environment

被引:0
|
作者
Wang, Xiao-Yuan [1 ]
Xing, Li [1 ]
机构
[1] School of Transportation and Vehicle Engineering, Shandong University of Technology, Zibo 255049, China
关键词
Traffic control;
D O I
暂无
中图分类号
学科分类号
摘要
Conflict point method was studied and was used to analyze the influence of bicycle on vehicle driving behavior. Conflict model was studied as a special car-following or lane-changing. Therefore, modeling and simulation and test verification for driving behavior in mix-traffic environment were carried out. Results show that the simulation result by conflict point method and the field data is basically consistent. The fitting rate and error rate of the experiment result are ideal. It is feasible to establish the driving behavior model by the conflict point method and the theory base can be provided for further analysis of the multi-resources information fusion of driving coordination behavior.
引用
收藏
页码:98 / 104
相关论文
共 50 条
  • [31] Vinohrady Tunnel in Brno - FEM Modeling of Behavior of Specific Environment for Tunnel Driving
    Krasny, Otakar
    Holy, Ondrej
    Transport and City Tunnels - Proceedings of the 11th International Conference Underground Constructions Prague 2010, 2010, : 761 - 764
  • [32] Research on microscopic traffic flow modeling and energy characteristics in the energy-saving driving environment
    Bin Sun
    Qijun Zhang
    Chao Zou
    Ning Wei
    Zhenyu Jia
    Zhong Wu
    Hongjun Mao
    Nonlinear Dynamics, 2023, 111 : 14365 - 14378
  • [33] Research on microscopic traffic flow modeling and energy characteristics in the energy-saving driving environment
    Sun, Bin
    Zhang, Qijun
    Zou, Chao
    Wei, Ning
    Jia, Zhenyu
    Wu, Zhong
    Mao, Hongjun
    NONLINEAR DYNAMICS, 2023, 111 (15) : 14365 - 14378
  • [34] Modeling for behavior and simulation of agriculture mobile robot in virtual environment
    Zou, Xiang-Jun
    Luo, Xi-Wen
    Lu, Jun
    Luo, Lu-Feng
    Li, Zong-Liang
    Mo, Xue-Sheng
    Fan, Lei
    Xitong Fangzhen Xuebao / Journal of System Simulation, 2006, 18 (SUPPL. 2): : 551 - 553
  • [35] Modeling pedestrian crossing activities in an urban environment using microscopic traffic simulation
    Suh, Wonho
    Henclewood, Dwayne
    Greenwood, Aaron
    Guin, Angshuman
    Guensler, Randall
    Hunter, Michael P.
    Fujimoto, Richard
    SIMULATION-TRANSACTIONS OF THE SOCIETY FOR MODELING AND SIMULATION INTERNATIONAL, 2013, 89 (02): : 213 - 224
  • [36] A reactive driving agent for microscopic traffic simulation
    Ehlert, PAM
    Rothkrantz, LJM
    MODELLING AND SIMULATION 2001, 2001, : 943 - 949
  • [37] Autonomous Driving Simulation Platform for Hybrid Traffic
    Song, Zhicao
    Fang, Jinhui
    Yang, Ziyi
    Wang, Shuai
    Pan, Gaofeng
    2024 13TH INTERNATIONAL CONFERENCE ON COMMUNICATIONS, CIRCUITS AND SYSTEMS, ICCCAS 2024, 2024, : 136 - 141
  • [38] Assessing the impacts of driving environment on driving behavior patterns
    Marta V. Faria
    Patrícia C. Baptista
    Tiago L. Farias
    João M. S. Pereira
    Transportation, 2020, 47 : 1311 - 1337
  • [39] Microscopic traffic simulation with reactive driving agents
    Ehlert, PAM
    Rothkrantz, LJM
    2001 IEEE INTELLIGENT TRANSPORTATION SYSTEMS - PROCEEDINGS, 2001, : 860 - 865
  • [40] Educational Driving Through Intelligent Traffic Simulation
    Vajdea, Bogdan
    Ciupe, Aurelia
    Orza, Bogdan
    Meza, Serban
    INTELLIGENT TUTORING SYSTEMS (ITS 2020), 2020, 12149 : 420 - 426