改进分子动力学的车辆跟驰模型
DOI:
作者:
作者单位:

哈尔滨工业大学交通科学与工程学院

作者简介:

通讯作者:

中图分类号:

U491

基金项目:

国家自然科学基金面上项目(71471046);吉林省交通运输厅交通运输科技项目(2017-1-18)


Improved Molecular Dynamics Car-following Model
Author:
Affiliation:

School of Transportation Science and Engineering,Harbin Institute of Technology

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:

    为了更好地研究复杂情况下的车辆跟驰特性,将车辆跟驰行为类比为分子在一维管道中相互作用的结果。已有的基于分子动力学的车辆跟驰模型利用需求安全间距和车道限速作为因素建立分子跟驰模型,忽略了车辆相对速度对驾驶员跟驰行为的影响,不符合真实的跟驰情况。因此本文将车辆相对速度纳入模型结构中,建立分子相互作用势函数和壁面势函数,并据此构建改进分子动力学的车辆跟驰模型。用高精度车载定位仪器对车辆跟驰过程中的参数进行采集,利用遗传算法对模型参数进行标定并对模型进行分析,最后分别验证模型在不同跟驰状态下的准确性,并与改进前的分子跟驰模型进行对比。结果表明,改进的分子跟驰模型可以更有效地预测车辆的跟驰行为。

    Abstract:

    In order to better study the car-following characteristics in complex situations, the car-following behavior is compared to the result of the interaction of molecules in a one-dimensional pipeline. The existing car-following model based on molecular dynamics uses the demand safety interval and the expected vehicle speed as the main factors to establish the molecular following model, ignoring the influence of the relative speed between vehicles, and does not meet the actual car-following conditions. Therefore, this paper incorporates the relative velocity of the vehicle into the model structure, establishes the molecular interaction potential and the wall potential function, and constructs an improved molecular dynamics car-following model. The parameters in the car-following process are collected by high-precision vehicle-mounted instruments and the model parameters are calibrated by genetic algorithm. Finally, the accuracy of the model under different following states is verified separately and compared with the previous molecular model. The results show that the improved molecular following model can more effectively predict the following behavior of the vehicle.

    参考文献
    相似文献
    引证文献
引用本文
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:2019-09-05
  • 最后修改日期:2019-11-22
  • 录用日期:2019-11-22
  • 在线发布日期:
  • 出版日期: