A vehicular traffic flow model based on a stochastic acceleration process

被引:7
|
作者
Waldeer, KT [1 ]
机构
[1] Braunschweig Wolfenbuttel Univ Appl Sci, Dept Transportat & Traffic, D-38229 Salzgitter, Germany
来源
关键词
vehicular traffic flow model; kinetic modeling; direct simulation Monte Carlo method; action point interaction profile;
D O I
10.1081/TT-120030341
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
A new Vehicular traffic flow model based on a stochastic jump process in vehicle acceleration and braking is introduced. It is based oil a master equation for the single car probability density in space, velocity, and acceleration with an additional vehicular chaos assumption and is derived via a Markovian ansatz for car pairs. This equation is analyzed using simple driver interaction models in the spatial homogeneous Case. Velocity distributions in stochastic equilibrium, together with the car density dependence of their moments, i.e., mean velocity and scattering and the fundamental diagram are presented.
引用
收藏
页码:7 / 30
页数:24
相关论文
共 50 条
  • [41] Urban vehicular traffic: Fitting the data with a hybrid stochastic model. Part II
    Amadio, A.
    Nicuesa, F.
    Otero, D.
    Galetti, D.
    Mizrahi, S. S.
    PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2018, 509 : 469 - 478
  • [42] The effect of stochastic acceleration and delay probability on the velocity and the gap between vehicles in traffic flow
    盛鹏
    赵树龙
    王俊峰
    唐鹏
    高琳
    Chinese Physics B, 2009, (08) : 3347 - 3354
  • [43] Distributionally Robust Optimization Based Model Predictive Control for Stochastic Mixed Traffic Flow
    Gao, Fengkun
    Yang, Bo
    Chen, Cailian
    Guan, Xinping
    Tang, Yuliang
    IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2024, 25 (02) : 1491 - 1502
  • [44] The effect of stochastic acceleration and delay probability on the velocity and the gap between vehicles in traffic flow
    Sheng Peng
    Zhao Shu-Long
    Wang Jun-Feng
    Tang Peng
    Gao Lin
    CHINESE PHYSICS B, 2009, 18 (08) : 3347 - 3354
  • [45] Uncertainty, Efficiency, and Stability of Mixed Traffic Flow: Stochastic Model-Based Analyses
    Lu, Liang
    Zheng, Fangfang
    Liu, Xiaobo
    TRANSPORTATION RESEARCH RECORD, 2024, 2678 (08) : 336 - 357
  • [46] A Day-to-Day Stochastic Traffic Flow Assignment Model Based on Mixed Regulation
    Wu, Lixuan
    Huang, Zhongxiang
    Wu, Jianhui
    Gao, Zhibo
    Qin, Dingming
    IEEE ACCESS, 2020, 8 : 12815 - 12823
  • [47] A Vehicular Mobility Model Based on Real Traffic Counting Data
    Pigne, Yoann
    Danoy, Gregoire
    Bouvry, Pascal
    COMMUNICATION TECHNOLOGIES FOR VEHICLES, 2011, 6596 : 131 - +
  • [48] Mechanics-Based Acceleration Modeling of Multilane Traffic Flow
    Wang, Liang
    Chen, Fangliang
    Yin, Huiming
    TRANSPORTATION RESEARCH RECORD, 2017, (2622) : 117 - 124
  • [49] VTCP: A Clustering Protocol Based on Traffic Flow States for Vehicular Networks
    Shi Yan
    Lu Changkai
    Huang Xiaohong
    Lu Meilian
    Qiao Liqiang
    Chen Shanzhi
    INTERNET OF VEHICLES - TECHNOLOGIES AND SERVICES, 2016, 10036 : 107 - 119
  • [50] Continuous time stochastic models for vehicular traffic on highways
    Rodrigues, AL
    de Oliveira, MJ
    BRAZILIAN JOURNAL OF PHYSICS, 2004, 34 (2A) : 373 - 376