[1]安树科,徐良杰,陈国俊,等.基于车路协同技术的信号交叉口改进车辆跟驰模型[J].东南大学学报(自然科学版),2020,50(1):169-174.[doi:10.3969/j.issn.1001-0505.2020.01.022]
 An Shuke,Xu Liangjie,Chen Guojun,et al.Improved car-following model at signalized intersection based on vehicle-infrastructure cooperation technology[J].Journal of Southeast University (Natural Science Edition),2020,50(1):169-174.[doi:10.3969/j.issn.1001-0505.2020.01.022]
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基于车路协同技术的信号交叉口改进车辆跟驰模型()
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《东南大学学报(自然科学版)》[ISSN:1001-0505/CN:32-1178/N]

卷:
50
期数:
2020年第1期
页码:
169-174
栏目:
经济与管理
出版日期:
2020-01-13

文章信息/Info

Title:
Improved car-following model at signalized intersection based on vehicle-infrastructure cooperation technology
作者:
安树科徐良杰陈国俊罗浩顺曹辉
武汉理工大学交通学院, 武汉 430070
Author(s):
An Shuke Xu Liangjie Chen Guojun Luo Haoshun Cao Hui
School of Transportation, Wuhan University of Technology, Wuhan 430070, China
关键词:
车路协同 信号交叉口 车辆跟驰模型 引导区间
Keywords:
vehicle-infrastructure cooperation signalized intersection car-following model guidance interval
分类号:
F560
DOI:
10.3969/j.issn.1001-0505.2020.01.022
摘要:
为了缓解信号交叉口对交通流的阻断问题,基于车路协同技术提出了信号交叉口速度引导决策方法.考虑信号灯相位差异以及车辆可能面临的交通状况,制定了3个速度引导策略,并构建了改进车辆跟驰模型.通过数值仿真验证了所提模型的引导效果,并分析了引导区间长度对速度引导的影响.结果表明,与已有模型相比,改进车辆跟驰模型能够使更多的车辆在绿灯结束前快速通过交叉口,其他车辆通过速度引导平滑地减速停车或跟随队尾在红灯结束后不停驶通过信号交叉口,消除了车辆速度突变.此外,通过增加引导区间长度能够缓解信号交叉口车辆停车排队现象,进而提高了速度引导效果.改进车辆跟驰模型的可行性和优越性得到了证实.
Abstract:
To alleviate the interruption of traffic flow caused by signalized intersections, a speed guidance decision method was proposed based on a vehicle-infrastructure cooperation technology. Considering the phase difference of signal lights and the traffic conditions for vehicles, three speed guidance strategies were formulated, and an improved car-following model was established. The guidance effect of the model was verified by numerical simulations, and the influence of the length of the guidance interval on the speed guidance was analyzed. The results show that compared with the existing models, the improved car-following model can enable more vehicles to pass through the intersection quickly before the end of the green light, and other vehicles to smoothly decelerate to stop or follow the rear of the queue to pass through intersections without stopping after the end of the red light. Therefore, the sudden change of the vehicle speed is eliminated. In addition, by increasing the length of the guidance interval, the phenomenon of vehicle stopping at a signalized intersection is relieved, thus enhancing the effects of the speed guiding. The feasibility and the superiority of the improved car-following model are proved.

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备注/Memo

备注/Memo:
收稿日期: 2019-05-30.
作者简介: 安树科(1992—),男,博士生;徐良杰(联系人),女,博士,教授,博士生导师,laurrie119@163.com.
基金项目: 国家自然科学基金资助项目(51578433)、国家自然科学基金青年基金资助项目(71701159).
引用本文: 安树科,徐良杰,陈国俊,等.基于车路协同技术的信号交叉口改进车辆跟驰模型[J].东南大学学报(自然科学版),2020,50(1):169-174. DOI:10.3969/j.issn.1001-0505.2020.01.022.
更新日期/Last Update: 2020-01-20