[1]周桐,李雨宣,杨智勇,等.考虑车辆机械惯性的跟驰模型及其数值模拟分析[J].郑州大学学报(工学版),2015,36(04):114-118.[doi:10.3969/j. issn.1671 -6833.2015.04.026]
 ZHOU Tong,LI Yu-xuan,YANG Zhi-yong,et al.A New Car Following Model with Consideration of the Vehicle ’s MechanicalInertia Effect and its Analysis of Numerical Simulation[J].Journal of Zhengzhou University (Engineering Science),2015,36(04):114-118.[doi:10.3969/j. issn.1671 -6833.2015.04.026]
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考虑车辆机械惯性的跟驰模型及其数值模拟分析()
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《郑州大学学报(工学版)》[ISSN:1671-6833/CN:41-1339/T]

卷:
36卷
期数:
2015年04期
页码:
114-118
栏目:
出版日期:
2015-08-31

文章信息/Info

Title:
A New Car Following Model with Consideration of the Vehicle ’s MechanicalInertia Effect and its Analysis of Numerical Simulation
作者:
周桐12李雨宣1杨智勇2孙棣华2
1.重庆工程职业技术学院信息工程学院,重庆402260;2.重庆大学自动化学院,重庆400044
Author(s):
ZHOU Tong12LI Yu-xuan1YANG Zhi-yong12SUN Di-hua2
1.School of lnformation Engineering, Chongqing Institute of Engineering,Chongqing 402260, China; 2.College of Automation ,Chongqing University ,Chongqing 400044,China
关键词:
交通流交通拥堵跟驰模型车辆机械惯性效应
Keywords:
traffic flow traffic jam car-following model vehicle ’s mechanical inertia effect
分类号:
U491.112
DOI:
10.3969/j. issn.1671 -6833.2015.04.026
文献标志码:
A
摘要:
为了更加真实地刻画实际交通现象,基于全速度差(FVD)模型,考虑车辆机械惯性对驾驶行为的影响,提出一种新的跟驰模型.运用系统稳定性理论,得到了交通流保持稳定的条件.数值仿真结果表明:与FVD模型比较,发现提出的模型能克服静止车队启动时头车加速度瞬间跳跃的缺陷,同时,也能更加真实地模拟诸如时走时停等实际交通现象.因此,提出的模型较FVD模型更好地揭示了交通流的演化机理,为车辆智能控制策略的制定提供了一定的理论指导.
Abstract:
In order to describe the traffic phenomena more actually,based on the full velocity difference(FVD)model,a new car-following model,which considers the influence of the vehicle’s mechanical inertiaeffect,is presented. According to the control theory , the stability condition of traffic system is obtained. Thesimulation results are compared with that of the FVD model. It ’s observed that the proposed model can over-come the deficiency that the acceleration of leading vehicle of motorcade instantly jump,and can simulatemore practical traffic phenomena,such as stop-and-go,etc.. Therefore, the proposed model can describe theactual traffic phenomenon more precisely than FVD model,and support theoretical direction for formulation ofvehicle intelligent control strategies.
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