交通运输系统工程与信息 ›› 2018, Vol. 18 ›› Issue (6): 72-80.

所属专题: 自动驾驶技术

• 智能交通系统与信息技术 • 上一篇    下一篇

双车道普通车辆—自动货车混合驾驶交通流建模与仿真

马新露 1,胡月豪*2,杨青也 3   

  1. 1. 重庆交通大学 交通运输学院,重庆 400074;2. 贵州交通职业技术学院,贵州 550008; 3. 重庆市南川区公安局交巡警支队 事故预防及处理大队,重庆 408400
  • 收稿日期:2018-05-21 修回日期:2018-07-21 出版日期:2018-12-25 发布日期:2018-12-25
  • 作者简介:马新露(1981-),男,重庆万州人,教授,博士.
  • 基金资助:

    国家自然科学基金/ National Natural Science Foundation of China(61403052);重庆市基础与前沿研究计划/ Chongqing Basic and Frontier Research Project(cstc2016jcyjA0576);重庆市社会事业与民生保障科技创新专项/ Scientific and Technical Innovation Special Project of Chongqing Social Undertaking and People' s Wellbeing Guarantee(cstc2015shmsztzx30002).

Modeling and Simulation for the Traffic Flow of Mixed Driving of Ordinary Vehicles and Automatic Driving Trucks on Double Lanes

MA Xin-lu1, HU Yue-hao2, YANG Qing-ye3   

  1. 1. School of Traffic & Transportation, Chongqing Jiaotong University, Chongqing 400074, China; 2. Guizhou Communication Vocational College,Guizhou 550008, China; 3. Accident Prevention and Treatment Brigade of Patrol Detachment,Chongqing 408400,China
  • Received:2018-05-21 Revised:2018-07-21 Online:2018-12-25 Published:2018-12-25

摘要:

作为未来交通的一部分,自动货车队列被认为是最早实现的自动驾驶场景之一.为深入探讨普通车辆与自动货车构成的混合交通系统可能呈现的特征及其原因,分别建立了适用于描述普通车辆和自动货车驾驶行为的元胞自动机(Cellular Automaton,CA)模型,运用数值模拟的方法探究交通流状态的演变过程.研究发现:双车道环境下自动货车的加入是一把“双刃剑”,在交通流密度较低且自动货车占比较小时,对普通车辆影响甚微;在交通流密度较高且自动货车占比较高时,普通车辆换道条件苛刻导致换道频率降低,无法获取更高车速进而影响了整个道路系统的通行效率.

关键词: 智能交通, 交通流, CA模型, 自动货车, 数值模拟

Abstract:

As a part of future traffic, automatic truck queue is considered as one of earliest automatic driving scenes. To deeply probe into the possible characteristics and causes of mixed traffic system composed of ordinary vehicles and automatic driving trucks, this paper respectively establishes cellular automation (CA) models suitable for describing the driving behavior, and adopts the method of numerical simulation to explore the evolution process of traffic flow state. Research finding that the participation of automatic driving trucks is “a double-edged sword” under the environment of double lane. Little impact is exerted on ordinary vehicles when traffic flow shows low density and automatic driving trucks take up a small proportion; ordinary vehicles face harsh lane changing conditions when traffic flow shows high density and automatic driving trucks take up a high proportion, which leads to low lane changing frequency and failure to obtain a higher speed, thus affecting the traffic efficiency of the whole road system.

Key words: intelligent transportation, traffic flow, CA model, automatic driving trucks, numerical simulation

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