基于场力的驾驶员影响因素交通流动力学模型

陈永; 贺红; 张薇; 周宁

doi:10.6052/0459-1879-18-109

基于场力的驾驶员影响因素交通流动力学模型

doi: 10.6052/0459-1879-18-109

陈永^*2), ,,
贺红^*,
张薇^†,
周宁^*

^*(兰州交通大学电子与信息工程学院, 兰州 730070)
^†(兰州交通大学交通运输学院, 兰州 730070)

基金项目: 1) 国家自然科学基金(61650207)和甘肃省科技计划(1610RJZA039) 资助项目.

详细信息

作者简介:
2) 陈永, 副教授, 主要研究方向: 交通动力学, 智能交通与信息系统工程. E-mail: edukeylab@126.com

通讯作者:
陈永

中图分类号: O39,U491;
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- 被引次数: 0
出版历程
- 收稿日期: 2018-04-04
- 刊出日期: 2018-09-18

TRAFFIC FLOW DYNAMIC MODEL CONSIDERING THE INFLUENCES ON DRIVERS BASED ON FIELD FORCE

Chen Yong^{*2)
, ,},
He Hong^*,
Zhang Wei^†,
Zhou Ning^*

^*(School of Electronic and Information Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China)
^†(School of Traffic and Transportation, Lanzhou Jiaotong University, Lanzhou 730070, China)

摘要

摘要: 为研究驾驶员行为对道路交通的定量影响, 针对驾驶员行为特点, 综合考虑了驾驶员受到的直接物理影响和间接心理影响、相对速度以及车辆自身特性等因素, 结合场力、图论等方法, 提出了一种用于模拟考虑驾驶员影响因素的元胞自动机交通流动力学模型(简称IDCA模型). 通过计算机数值模拟, 研究了考虑驾驶员影响因素下车流演化机理及不同驾驶员类型对道路交通流的影响. 结果表明: 与NaSch模型相比, 本文建立的IDCA模型能够模拟得到丰富的交通行为, 再现了同步流等交通现象, 从速度波动和车头间距波动分析得出IDCA模型下道路交通流具有更强的稳定性, 堵塞消融效率更高. 此外得到了由不同驾驶员类型按不同比例组成的混合交通流的密度-速度图和密度-流量图, 发现在道路相同中高密度下, 激进型驾驶员所占的比例越大, 车辆速度与交通流量越大, 交通流量随着保守型驾驶员比例的增加而降低. 最后模拟实现了车辆高速跟驰现象, 得到小间距高速跟驰率超过7%的结果与实测结果相符合.
- 交通流 /
- 元胞自动机 /
- 场力 /
- 驾驶员影响因素 /
- 高速跟驰
Abstract: In order to study the quantitative influence of driver's behavior on road traffic, the cellular automaton dynamic model with influences on drivers (IDCA) is proposed based on the NaSch model in this paper for the characteristics of the driver's behavior. The improved model combines field force and graph theory to simulate road traffic flow. According to the driver's behavior characteristics, these factors are considered in the model, such as the direct physical and indirect psychological effects on driver, relative speed and vehicle characteristic. The influences of driver types and vehicle flow evolution mechanism on traffic flow are studied based on the model through computer numerical simulation. The simulation results show that the IDCA model can simulate abundant traffic behaviors better than the NaSch model, which reappears synchronous flow and other complex traffic phenomena. Traffic flows have better stability and higher dissolving congestion efficiency in the IDCA model through the analysis of the fluctuation of vehicles' speed and the vehicles' headway-distance. In addition, by using the computer numerical simulation of the IDCA model, the density-velocity and density-flow diagrams of the mixed traffic flow composed of different driver types are obtained. The conclusions are obtained: the larger the proportion of aggressive drivers, the larger the vehicle speed and traffic flow under the same road medium density and high density, and traffic flow decreases with the increase of the proportion of conservative drivers. The phenomenon of high speed car-following is simulated at last. The result of the rate of high speed car-following in the small headway areas more than 7% is obtained, which is consistent with the measured results.
- traffic flow /
- cellular automata /
- field force /
- influences on drivers /
- high speed car-following

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参考文献(1)

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