交通运输系统工程与信息 ›› 2018, Vol. 18 ›› Issue (6): 41-47.

• 智能交通系统与信息技术 • 上一篇    下一篇

前后多车影响的跟驰模型及稳定性分析

彭勇*1,刘世洁 1,DENNIS Z Yu2   

  1. 1. 重庆交通大学 交通运输学院,重庆 400074;2. 克拉克森大学 商学院,波茨坦 NY 13699,美国
  • 收稿日期:2018-05-22 修回日期:2018-07-22 出版日期:2018-12-25 发布日期:2018-12-25
  • 作者简介:彭勇(1973-),男,重庆人,教授.
  • 基金资助:

    教育部人文社会科学研究规划基金/ The Ministry of Education of Humanities and Social Science Project (17YJA630079).

Stability Analysis of A Car-following Model with Consideration of Preceding and Following Vehicles

PENG Yong1, LIU Shi-jie1, DENNIS Z Yu2   

  1. 1. College of Traffic & Transportation, Chongqing Jiaotong University, Chongqing 400074, China; 2. The David D. Reh School of Business, Clarkson University, Potsdam NY 13699, US
  • Received:2018-05-22 Revised:2018-07-22 Online:2018-12-25 Published:2018-12-25

摘要:

驾驶员在跟车行驶过程中,通常会通过视野前后车辆的行驶状态来调整自己的跟驰行为,基于此本文提出了一种考虑驾驶员视野内双前车和后车对跟驰车辆影响的改进跟驰模型.根据线性稳定分析方法,得到了改进模型的中性稳定性条件,并通过计算机仿真模拟进行了验证.为了进一步加强验证结果及说明改进模型的优越性,同经典FVD模型进行了数值仿真对比.仿真结果表明:灵敏度α越大越有利于提高改进跟驰系统的稳定性;同经典FVD跟驰模型相比,改进模型抵抗干扰的能力更突出,能够消散交通系统中的微小扰动,具有抑制交通拥堵和稳定交通流的有利作用.

关键词: 综合交通运输, 跟驰模型, 稳定性分析, 前后多车, 交通系统仿真

Abstract:

A driver usually adjusts his car-following behavior by observing the preceding and following cars in his view. Based on this, an improved car-following model is proposed to consider the influence of the double preceding cars and the following car in the driver’s view on the car following. According to the linear stability analysis method, the neutral stability condition of the improved model is obtained and verified by computer simulation. In order to strengthen the verification results and illustrate the superiority of the improved model, the comparison with the FVDM is carried out. The results show that the greater the sensitivity α, the better the stability of the system; compared with the FVDM, the improved model is more capable of resisting interference, and can dissipate small disturbances in the traffic system, and has the advantage of restraining traffic congestion and stabilizing the traffic flow.

Key words: integrated transportation, car-following model, stability analysis, preceding and following vehicles, traffic simulation system

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