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计算机工程

• 开发研究与工程应用 • 上一篇    

考虑前车加速度信息影响的多速度差模型

董 艳   

  1. (陕西铁路工程职业技术学院基础部,陕西 渭南 714000)
  • 收稿日期:2012-09-05 出版日期:2013-10-15 发布日期:2013-10-14
  • 作者简介:董 艳(1984-),女,助教,主研方向:随机控制理论,数值模拟
  • 基金资助:
    陕西铁路工程职业技术学院科研立项研究生基金资助项目(2011-25)

Multiple Velocity Difference Model Considering Acceleration Information Effect of Car in Front

DONG Yan   

  1. (Department of Basic, Shaanxi Railway Institute, Weinan 714000, China)
  • Received:2012-09-05 Online:2013-10-15 Published:2013-10-14

摘要: 为开发智能交通系统,在多速度差(MVD)模型的基础上,提出一个扩展模型,即多信息(MI)模型。在MI模型中,采用前车的加速度信息以及速度差信息提高交通流的稳定性。通过稳定性理论,得到MI模型下线性稳定临界曲线。MI模型比它相应的MVD模型有明显的改善,稳定敏感系数临界值变小,稳定区域明显增加。对驾驶员灵敏度系数在不同取值情况下,分别进行反复数值模拟仿真,结果表明,MI模型能更好地描述交通流的波动特性。

关键词: 交通流, 稳定性分析, 加速度, 速度差, 多速度差模型, Fourier展开

Abstract: In order to develop the intelligent transportation system, this paper presents an extended car-following model called Multiple Information(MI) model based on Multiple Velocity Difference(MVD) model. It attempts to enhance the stability of the traffic flow by using the acceleration and the velocity differences of multiple vehicles. It can be found that the critical value of the sensitivity in MI model decreases and the stable region is apparently enlarged, compared with MVD model. Simulations are made repeatedly, in which the driver’s sensitivity is different value. Results show that MI model is more realistic than traditional ones, and can better describe the dynamics and complexity of traffic flow.

Key words: traffic flow, stability analysis, acceleration, velocity difference, Multiple Velocity Difference(MVD) model, Fourier expansion

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