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

Abstract

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

CLC Number:

U491

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.

Figures/Tables 13

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Table 1

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Table 2

Parameter values of IDM model"

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

Table 2

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References 13

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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

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

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