考虑多车间距的跟驰模型及混合交通流的数值模拟
DOI:
作者:
作者单位:

作者简介:

王威(1995—),男,硕士研究生,研究方向为运输规划与管理。

通讯作者:

中图分类号:

U491.1

基金项目:


Car-Following Model in View of Multiple Distances and Numerical Simulation of Mixed Traffic Flow
Author:
Affiliation:

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
  • |
  • 文章评论
    摘要:

    在 OV 模型的基础上,考虑了混合车流个体车辆对前方不同感知程度,建立了多车间距跟驰模型,对其稳定性进行了理论分析;在单一车队中混入考虑多车间距跟驰特性的车辆,可以显著提高车流稳定性,改善 OV 模型的加速度过大等缺点;将模型应用于混合车流的驾驶行为及交通流建模,就不同混合比和交通熵下的混合交通流中高速稳态与低速稳态之间的相互转化进行数值模拟,发现混合交通流中的交通波传递更快,加减速过程缩短,对交通拥堵也有一定的抑制作用,并且随着交通熵的增加,这一作用更加明显。

    Abstract:

    Based on the OV model, this study, by taking into account individual vehicles’ perception of the road ahead in the mixed traffic flow, established a car-following model of multiple distances and analyzed its linear stability theoretically. The platoon, mixed with the vehicles of multi-distance car -following characteristics, is more stable and the large acceleration in OV model can be improved. It applied the car-following model of mul- tiple distances into the modeling of driving behaviors and traffic flow in mixed traffic flow. The numerical simu- lation was demonstrated to study the mutual transformation between high -speed steady state and low -speed steady state in the mixed traffic flow with different cart proportions and traffic entropy. The research results show that the traffic wave in the mixed traffic flow spreads faster and the time of acceleration and deceleration is shortened, which, to a certain degree, can alleviate traffic congestion. It maintains that with the increase of traffic entropy, traffic congestion becomes less and less obvious.

    参考文献
    相似文献
    引证文献
引用本文

王威,吴中.考虑多车间距的跟驰模型及混合交通流的数值模拟[J].华东交通大学学报,2018,35(6):72-80.

复制
分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:
  • 最后修改日期:
  • 录用日期:
  • 在线发布日期: 2021-05-26
  • 出版日期: