交通运输系统工程与信息

交通运输系统工程与信息 ›› 2018, Vol. 18 ›› Issue (5): 211-218.

• 系统工程理论与方法 • 上一篇    下一篇

高原特长隧道驾驶人动态决策跟驰模型与限速研究

胡立伟*1, 2，陈政 1，张婷 1，胡澄宇 2   

  1. 1. 昆明理工大学 交通工程学院，昆明 650500；2. 云南省交通规划设计研究院/陆地交通气象灾害防治技术国家工程实验室，昆明 650011
  • 收稿日期:2018-05-31 修回日期:2018-07-30 出版日期:2018-10-25 发布日期:2018-10-26
  • 作者简介:胡立伟(1978-），男，山东潍坊人，副教授，博士.
  • 基金资助:

    国家自然科学基金/National Natural Science Foundation of China(6186020407, 71461015）；陆地交通气象灾害防治技术国家工程实验室开放研究基金/ National Engineering Laboratory for Surface Transprotation Weather Impacts Prevention Open Research Fund(NELJA201605).

Driver's Dynamic Decision Car-following Model and Speed Limit in Plateau Extra-long Tunnel

HU Li-wei1, 2, CHEN Zheng1, ZHANG Ting1, HU Cheng-yu2   

  1. 1. Faculty of Transportation Engineering, Kunming University of Science and Technology, Kunming 650500, China；2. Broadvision Engineering Consultants/National Engineering Laboratory for Surface Transprotation Weather Impacts Prevention, Kunming 650011, China
  • Received:2018-05-31 Revised:2018-07-30 Online:2018-10-25 Published:2018-10-26

PDF

摘要：

为研究高原特长隧道跟驰特性及驾驶人决策行为，优化隧道路段限速值，在云贵高原地区特长隧道进行了实车跟驰试验.基于采集跟驰数据，分析驾驶人在高原特长隧道的驾驶决策行为并得到加减速决策模型；提出隧道跟驰过程中驾驶人局部效用最优概念，通过安全跟驰距离模型、驾驶人感知速度模型及驾驶人决策模型，建立局部最优的驾驶人动态决策跟驰模型，仿真驾驶人在隧道路段上的最优决策行为.研究结果表明：在高原特长隧道进口段及出口段，驾驶人趋于选择更大的跟驰距离；基于局部最优的驾驶人动态决策跟驰模型，能较好地仿真最优跟驰行为，得到隧道路段最优决策速度并作为最高限速值.本文结论为改善高原特长隧道路段行车安全状态提供了理论支撑.

关键词: 公路运输, 跟驰模型, 驾驶人动态决策, 高原特长隧道, 局部最优

Abstract:

In order to study the car-following characteristics and driver decision-making behavior in plateau extratunnel long tunnel, and get optimizing limit speed values on tunnel, the car-following test of the extra-long tunnel is carried out in Yunnan-Kweichow Plateau area. Driver’s acceleration and deceleration decision model is built for plateau extra-tunnel long tunnel, using to analyze the driver’s decision. This paper proposes the local optimal utility concept, and builds the model of local optimum of driver’s dynamic car-following decision through the collision avoidance model, driver’s perception speed model and driver’s acceleration and deceleration decision model, to simulate diver’s optimal decision. The research results show that: the driver tends to keep a greater following distance in the area of extra-long tunnel’s entrance and export; the driver's dynamic decision carfollowing model based on local optimum has a good performance on simulating optimal car-following behavior; and then the maximum speed limit of the tunnel section is optimized according to the decision behavior of its speed. The obtained results are helpful for improving the state of traffic safety in tunnel section.

Key words: highway transportation, car-following model, driver's dynamic decision, plateau extra-long tunnel, local optimum

中图分类号: