基于驾驶人特性的双车道跟驰模型稳定性分析

交通运输系统工程与信息 ›› 2019, Vol. 19 ›› Issue (5): 66-77.

• 智能交通系统与信息技术 • 上一篇下一篇

基于驾驶人特性的双车道跟驰模型稳定性分析

杜文举，李引珍^*，俞建宁

兰州交通大学交通运输学院，兰州 730070

收稿日期:2019-04-15 修回日期:2019-07-08 出版日期:2019-10-25 发布日期:2019-10-25
作者简介:杜文举(1987-)，男，甘肃西和人，博士生.
基金资助:
国家自然科学基金/National Natural Science Foundation of China (71861023)；兰州交通大学青年科学基金/ Lanzhou Jiaotong University Yonth Scientific Research Fund Project (2018020).

Stability Analysis of a Two-lane Car-following Model with Effect of Driver' s Characteristics

DU Wen-ju, LI Yin-zhen, YU Jian-ning

School of Traffic and Transportation, Lanzhou Jiaotong University, Lanzhou 730070, China

Received:2019-04-15 Revised:2019-07-08 Online:2019-10-25 Published:2019-10-25

摘要/Abstract

摘要：

为了研究交通拥堵问题，了解交通拥挤形成的过程及驾驶员自身特性对双车道交通流稳定性的影响.本文基于复杂网络聚类同步理论，对一类基于驾驶员特性的双车道跟驰模型的稳定性进行研究. 通过设计适当的控制器使得基于驾驶人特性的双车道车辆跟驰模型趋于稳定，并得到了模型稳定性的条件.此外，在双车道上的车辆受到随机外部扰动的情形下，利用具有外部扰动的复杂网络自适应H∞ 聚类同步理论，研究了外部扰动情形下基于驾驶人特性的双车道车辆跟驰模型的稳定性.最后，采用MATLAB仿真技术进行数值模拟，验证所设计控制器对双车道交通流稳定性的影响及不同的驾驶员性格特性对交通流运行的影响.

关键词: 交通工程, 双车道跟驰模型, 驾驶人性格特性, 聚类同步, 外部扰动, 稳定性

Abstract:

In order to study the traffic jams and congestion, and to understand the forming process of traffic congestion and the influence of drivers' own characteristics on the stability of two- lane traffic flow, the paper investigated the stability of a two-lane car-following model with the effect of driver' s characteristics on the basis of cluster synchronization theory of complex network. By designing the appropriate controller, the two-lane carfollowing model with the effect of driver' s characteristics is quickly stabilized and the stability condition of the model is obtained. Besides, based on the adaptive H∞ cluster synchronization theory for complex networks with external disturbances, the stability of two- lane car- following model with the effect of driver' s characteristics is studied when the vehicles is subjected to random external disturbance. Finally, the effects of the designed controller on the stability of the two- lane traffic flow and the influence of different drivers' personality characteristics on the traffic flow are verified by using the MATLAB simulation technology.

Key words: traffic engineering, two- lane car- following model, driver' s personality characteristics, cluster synchronization, external disturbance, stability

中图分类号:

U121
TP391

杜文举，李引珍，俞建宁. 基于驾驶人特性的双车道跟驰模型稳定性分析[J]. 交通运输系统工程与信息, 2019, 19(5): 66-77.

DU Wen-ju, LI Yin-zhen, YU Jian-ning. Stability Analysis of a Two-lane Car-following Model with Effect of Driver' s Characteristics[J]. Journal of Transportation Systems Engineering and Information Technology, 2019, 19(5): 66-77.

导出引用管理器 EndNote|Ris|BibTeX

链接本文: http://www.tseit.org.cn/CN/abstract/abstract19906.shtml

http://www.tseit.org.cn/CN/Y2019/V19/I5/66

参考文献

[1] CHEN D J, LAVAL J, ZHENG Z, et al. A behavioral car-following model that captures traffic oscillations[J]. Transportation Research Part B: Methodological, 2012, 46(6): 744-761.

[2] LI S K, YANG L X, GAO Z Y, et al. Stabilization strategies of a general nonlinear car- following model with varying reaction-time delay of the drivers[J]. ISA Transactions, 2014, 53(6): 1739-1745.

[3] PRZYBYLA J, TAYLOR J, JUPE J, et al. Estimating risk effects of driving distraction: A dynamic errorable car-following model[J]. Transportation Research Part C: Emerging Technologies, 2015(50): 117-129.

[4] 杨龙海, 赵顺, 徐洪. 基于改进优化速度函数的跟驰模型研究[J]. 交通运输系统工程与信息, 2017, 17(2): 41- 46. [YANG L H, ZHAO S, XU H. Car- following model based on the modified optimal velocity function [J]. Journal of Transportation Systems Engineering and Information Technology, 2017, 17(2): 41-46.]

[5] 秦严严, 王昊, 冉斌. 考虑多前车反馈的智能网联车辆跟驰模型[J]. 交通运输系统工程与信息, 2018, 18(3): 48- 54. [QIN Y Y, WANG H, RAN B. Car- following model of connected and autonomous vehicles considering multiple feedbacks[J]. Journal of Transportation Systems Engineering and Information Technology, 2018, 18(3): 48-54.]

[6] NAGAI R, NAGATANI T, TANIGUCHI N. Traffic states and jamming transitions induced by a bus in two-lane traffic flow[J]. Physica A: Statistical Mechanics and its Applications, 2005, 350(2-4): 548-562.

[7] TANG T Q, HUANG H J, GAO Z Y. Stability of the carfollowing model on two lanes[J]. Physical Review E, 2005, 72(6): 066124.

[8] CHEN X, GAO Z Y, ZHAO X M, et al. Study on the twolane feedback controlled car- following model[J]. Acta Physica Sinica, 2007, 56(4): 2024-2029.

[9] TANG T Q, HUANG H J, WONG S C, et al. Lane changing analysis for two- lane traffic flow[J]. Acta Mechanica Sinica, 2007, 23(1): 49-54.

[10] OU H, TANG T Q. An extended two-lane car-following model accounting for inter- vehicle communication[J]. Physica A: Statistical Mechanics and its Applications, 2018(495): 260-268.

[11] SHEN H, PARK J H, WU Z G, et al. Finite-time H∞ synchronization for complex networks with semi- Markov jump topology[J]. Communications in Nonlinear Science and Numerical Simulation, 2015, 24(1-3): 40- 51.

[12] ZHU J W, YANG G H. Robust H∞ dynamic output feedback synchronization for complex dynamical networks with disturbances[J]. Neurocomputing, 2016 (175): 287-292.

[13] LIU L, CHEN W H, LU X. Impulsive H∞ synchronization for reaction- diffusion neural networks with mixed delays [J]. Neurocomputing, 2018(272): 481-494.

[14] ZHENG L, MA S F, ZHONG S Q. Influence of lane change on stability analysis for two-lane traffic flow[J]. Chinese Physics B, 2011, 20(8): 088701.

[15] RONG Y, WEN H Y. An extended delayed feedback control method for the two-lane traffic flow[J]. Nonlinear Dynamics, 2018, 94(4): 2479-2490.

基于驾驶人特性的双车道跟驰模型稳定性分析

Stability Analysis of a Two-lane Car-following Model with Effect of Driver' s Characteristics

PDF

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

编辑推荐

Metrics

[1]	林建新, 刘博, 赵霞, 张蕾. 基于混合约束自编码器的机动车工况智能构建方法[J]. 交通运输系统工程与信息, 2022, 22(2): 109-116.
[2]	戢晓峰, 耿昭师. 山区双车道公路货车碰撞预测的双变量冲突极值模型[J]. 交通运输系统工程与信息, 2022, 22(2): 230-238.
[3]	张建波, 孙建平, 徐春玲, 郭镜霞, 温慧敏, 宋国华. 考虑交通运行条件影响的驾驶员特征聚类[J]. 交通运输系统工程与信息, 2022, 22(2): 330-336.
[4]	马景峰, 任刚, 李豪杰, 曹奇, 杜建玮. 电动自行车与机动车事故严重性影响因素分析[J]. 交通运输系统工程与信息, 2022, 22(2): 337-348.
[5]	宗芳, 王猛, 贺正冰. 考虑多车影响的分子动力学智能网联跟驰模型[J]. 交通运输系统工程与信息, 2022, 22(1): 37-48.
[6]	马小龙, 余强, 刘建蓓. 基于路侧毫米波雷达的车辆碰撞概率计算方法[J]. 交通运输系统工程与信息, 2022, 22(1): 57-66.
[7]	廖鹏, 唐铁桥. 基于车辆动力传动和转向系统的换道轨迹优化策略[J]. 交通运输系统工程与信息, 2022, 22(1): 98-105.
[8]	贾富强, 李引珍, 杨信丰, 马昌喜, 代存杰. 基于演化博弈的政府鼓励条件下共享停车行为分析[J]. 交通运输系统工程与信息, 2022, 22(1): 163-170.
[9]	刘永红, 罗霞, 胡剑鹏. 考虑临时和预约需求的共享泊位动态分配方法[J]. 交通运输系统工程与信息, 2022, 22(1): 171-181.
[10]	袁振洲, 郭曼泽, 彭泳鑫, 杨洋. 基于梯度关联规则的老年行人交通事故风险识别[J]. 交通运输系统工程与信息, 2022, 22(1): 195-208.
[11]	张玉婷, 陈波佑, 张双焱, 闫学东, 李晓梦. 抵近信控交叉口分心驾驶识别模型[J]. 交通运输系统工程与信息, 2022, 22(1): 217-224.
[12]	宋浪, 王健, 杨滨毓, 安实. 连续流交叉口左转非机动车交通组织创新设计[J]. 交通运输系统工程与信息, 2022, 22(1): 225-233.
[13]	白婧荣, 唐伯明, 孙宗元, 毕辉云, 向恬君. 毗邻互通立交特长隧道驾驶负荷研究[J]. 交通运输系统工程与信息, 2022, 22(1): 301-310.
[14]	郭彦茹, 罗志雄, 王家川, 何方. 数据驱动的共享单车停放区规划方法研究[J]. 交通运输系统工程与信息, 2021, 21(6): 9-16.
[15]	李君羡, 沈宙彪, 童文聪, 吴志周. 基于分类车头时距的城市道路大型车影响分析[J]. 交通运输系统工程与信息, 2021, 21(6): 55-62.