智能网联环境下交叉口双环自适应控制模型

doi:10.13229/j.cnki.jdxbgxb20191126

吉林大学学报(工学版) ›› 2021, Vol. 51 ›› Issue (2): 541-548.doi: 10.13229/j.cnki.jdxbgxb20191126

• 交通运输工程·土木工程 • 上一篇

智能网联环境下交叉口双环自适应控制模型

张健^1,^2,^3,⁴(),吴坤润^1,^2,³,杨敏^1,^2,³,冉斌^1,^2,³

^1.东南大学江苏省城市智能交通重点实验室，南京 210096
^2.现代城市交通技术江苏高校协同创新中心，南京 210096
^3.江苏省物联网技术与应用协同创新中心，南京 210096
^4.西藏大学工学院，拉萨 850000

收稿日期:2019-12-11 出版日期:2021-03-01 发布日期:2021-02-09
作者简介:张健（1984-），男，副教授，博士.研究方向：交通规划与管理，城市公交运营管理，智能网联交通，智能高速公路.E-mail：jianzhang@seu.edu.cn
基金资助:
国家重点研发计划项目(2016YFB0100906);中央高校基本科研业务费专项资金项目(2242020R40045)

Double⁃ring adaptive control model of intersection during intelligent and connected environment

Jian ZHANG^1,^2,^3,⁴(),Kun-run WU^1,^2,³,Min YANG^1,^2,³,Bin RAN^1,^2,³

^1.Jiangsu Key Laboratory of Urban ITS，Southeast University，Nanjing 210096，China
^2.Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies，Nanjing 210096，China
^3.Jiangsu Province Collaborative Innovation Center for Technology and Application of Internet of Things，Nanjing 210096，China
^4.School of Engineering，Tibet University，Lhasa 850000，China

Received:2019-12-11 Online:2021-03-01 Published:2021-02-09

摘要/Abstract

摘要：

面向智能网联环境交叉口，提出一种双环自适应信号控制方法。首先，建立并标定智能网联车辆与常规车辆跟驰模型；然后以延误和停车次数为优化目标，考虑绿灯最小时长约束，使用NEMA双环相位结构中相位组时长为变量建模计算最优相位组时长；最后，基于微观仿真进行实验。结果表明：在不同饱和度下，相比定时式控制，双环信号控制方法延误减少7.9%~17.7%，停车次数减少7.3%~17.0%。网联环境下双环自适应控制模型优化效果随饱和度、网联车辆渗透率的增加而增加。

关键词: 交通运输系统工程, 智能交通, 智能网联, 交叉口, 信号控制

Abstract:

The paper proposed a double-ring adaptive signal control method for intersection in intelligent and connected environment. First， Connected and Automated Vehicles （CAV） are modeled by Intelligent Driver Model （IDM） while human-driven vehicles are calibrated by the Wiedemann model. Then， running delay and vehicle stops are chosen as optimization targets considering the minimal constraint of green time. The signal timing optimization utilizes the double ring structure NEMA phases group as the variant. A micro-scope traffic simulation platform based on VISSIM was implemented. Simulation experimental results indicate that compared with single-ring fixed control method， double-ring adaptive control method reduces delay by 7.9%~17.7% and vehicle stops by 7.3%~17.0%. In the networked environment, the optimization effect of double-ring adaptive control method increases with the increase of saturation and the penetration rate of networked vehicles.

Key words: engineering of transportation system, intelligent transportation systems, intelligent and connected, intersection, signal control

中图分类号:

U491

张健,吴坤润,杨敏,冉斌. 智能网联环境下交叉口双环自适应控制模型[J]. 吉林大学学报(工学版), 2021, 51(2): 541-548.

Jian ZHANG,Kun-run WU,Min YANG,Bin RAN. Double⁃ring adaptive control model of intersection during intelligent and connected environment[J]. Journal of Jilin University(Engineering and Technology Edition), 2021, 51(2): 541-548.

图/表 13

图1

图2

表1

图3

图4

图5

图6

表2

IDM模型参数取值"

变量	数值	变量	数值
$a m$ /（m·s^-2）	1.0	$T$ /s	0.85
$b m$ /（m·s^-2）	-8.0	$t α$ /s	0.5
$v 0$ /（km·h^-1）	120	$b$ /（m·s^-2）	-2.8

表2

图7

图8

图9

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图11

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环	相位组组合方式	第一相位组	第二相位组	第三相位组
第一环	①相位组1→相位组2（a）→相位组3	东西左转	东进口道直左	东西直行
	②相位组1→相位组2（b）→相位组3	东西左转	东进口道直左	东西直行
	③相位组1→相位组3	东西左转	—	东西直行
第二环	①相位组4→相位组5（a）→相位组6	南北左转	南进口道直左	南北直行
	②相位组4→相位组5（b）→相位组6	南北左转	北进口道直左	南北直行
	③相位组4→相位组6	南北左转	—	南北直行

智能网联环境下交叉口双环自适应控制模型

Double⁃ring adaptive control model of intersection during intelligent and connected environment

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