CACC车辆跟驰建模及混合交通流分析

交通运输系统工程与信息 ›› 2018, Vol. 18 ›› Issue (2): 60-65.

• 智能交通系统与信息技术 • 上一篇下一篇

CACC车辆跟驰建模及混合交通流分析

秦严严^{1a, 1b, 1c, 2}，王昊^{*1a, 1b, 1c}，冉斌^{1c, 2}

1. 东南大学 a. 城市智能交通江苏省重点实验室，b. 现代城市交通技术江苏高校协同创新中心， c. 交通学院, 南京 210096；2. 美国威斯康星大学麦迪逊分校, 土木与环境工程系, 麦迪逊 53706，美国

收稿日期:2017-11-20 修回日期:2018-02-18 出版日期:2018-04-25 发布日期:2018-04-25
作者简介:秦严严（1989-），男，江苏沛县人，博士生.
基金资助:
国家自然科学基金/National Natural Science Foundation of China(51478113)；国家重点研发计划子课题/ National Key R&D Program in China(2016YFB0100906)；中央高校基本科研业务费专项资金资助与江苏省研究生科研与实践创新计划项目/ Fundamental Research Funds for the Central Universities and Postgraduate Research & Practice Innovation Program of Jiangsu Province(KYCX17_0146).

Car-following Modeling for CACC Vehicles and Mixed Traffic Flow Analysis

QIN Yan-yan^{1a, 1b, 1c, 2}, WANG Hao^{1a, 1b, 1c}, RAN Bin^{1c, 2}

1a. Jiangsu Key Laboratory of Urban ITS, 1b. Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, 1c. School of Transportation, Southeast University, Nanjing 210096, China; 2. Department of Civil and Environment Engineering, University of Wisconsin–Madison, Madison 53706, USA

Received:2017-11-20 Revised:2018-02-18 Online:2018-04-25 Published:2018-04-25

摘要/Abstract

摘要：

建立协同自适应巡航控制(Cooperative Adaptive Cruise Control，CACC)车辆跟驰模型，并分析不同CACC比例下的混合交通流通行能力，尾部碰撞安全及交通排放.考虑车辆期望车头间距随速度动态变化的交通流特性，建立基于非线性动态车头间距策略的CACC跟驰模型，推导不同CACC比例下的混合交通流基本图模型，分析CACC提高通行能力的交通流运行机理.设计高速公路上匝道瓶颈数值仿真实验，评估不同CACC比例下的车辆尾部碰撞安全隐患，以及油耗、CO、HC、NOx的排放.研究结果表明，本文建立的CACC模型能够在交通流速度基本不变的情况下，以较高的交通流密度显著提升通行能力，同时有利于车辆尾部碰撞安全风险及交通排放的降低.

关键词: 交通工程, 跟驰模型, 数值仿真, 协同自适应巡航控制

Abstract:

A Car-following model of cooperative adaptive cruise control (CACC) vehicles is built. At the same time, capacity, rear- end collision safety, and traffic emissions of the mixed traffic flow are also analyzed under different CACC proportions. By considering the traffic flow characteristics that desired headways of vehicles change dynamically with respect to speeds, the non- linear dynamic headway policy based CACC model is presented. Then, the fundamental diagram model of the mixed traffic flow is derived under different CACC proportions, in order to analyze traffic flow operation mechanism which improves capacity. Numerical simulations are designed near bottleneck of the freeway with an on- ramp, based on which rear- end collision risk, fuel consumption, CO, HC, and NOx are evaluated. Research results show that the presented CACC model can have high traffic flow density to improve capacity obviously for the case in which speeds are basically not changed. Moreover, CACC benefits the decrease of rear-end collision risks and traffic emissions.

Key words: traffic engineering, car-following model, numerical simulation, cooperative adaptive cruise control

中图分类号:

U491.112

秦严严，王昊，冉斌. CACC车辆跟驰建模及混合交通流分析[J]. 交通运输系统工程与信息, 2018, 18(2): 60-65.

QIN Yan-yan, WANG Hao, RAN Bin. Car-following Modeling for CACC Vehicles and Mixed Traffic Flow Analysis[J]. Journal of Transportation Systems Engineering and Information Technology, 2018, 18(2): 60-65.

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链接本文: http://www.tseit.org.cn/CN/abstract/abstract19591.shtml

http://www.tseit.org.cn/CN/Y2018/V18/I2/60

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CACC车辆跟驰建模及混合交通流分析

Car-following Modeling for CACC Vehicles and Mixed Traffic Flow Analysis

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