Chapter
Aug 12, 2020

Research on Actuated Signal Control of Advancing Right Turning Intersection under the Influence of Non-Motor Vehicles

Publication: CICTP 2020

ABSTRACT

In order to solve the conflict between non-motorized vehicles and motorized vehicles at intersections, this paper analyzes the advance right-turn capacity of the right-turn lane based on the gap theory and queuing theory by designing the advance right-turn channelization to divert the right-turn traffic flow, comparing with the capacity of right-turning motor vehicles and ordinary non-channelized intersections, and using the actuated signal control instead of the fixed signal control to optimize the signal timing. The intersection of Guyang Road and Yushan Road in Zhenjiang City, Jiangsu Province was chosen. The actual traffic flow data for five consecutive days was analyzed. Through the right-turn capacity calculation model in advance, it is found that the traffic capacity was improved by 26.4%. The M/G/1 queuing theory was used to calculate the delay. The delay time during the evening rush hour period decreased by 44.37%, the delay of the morning rush hour decreased by 35.22%, and the service level of the entire intersection was upgraded from C to B. The research shows that the establishment of the advance right-turn lanes can effectively avoid the conflicts between the right-turn motor vehicles and non-motor vehicles passing straight, and improve traffic capacity between non-motor vehicles and motor vehicles, using actuated signal control, and effectively reduce overall delays and improve the service level of the intersections.

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Go to CICTP 2020
CICTP 2020
Pages: 412 - 423

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Published online: Aug 12, 2020

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1School of Highway, Chang’an Univ., Middle-Section of Nan’er Huan Rd., P.O. Box 710064, Xi’an, Shaanxi, China. Email: [email protected]
2Doctor and Associate Professor, Chang’an Univ., China International Engineering Consulting Corporation Expert Library Expert, Middle Section of South Second Ring Rd., P.O. Box 710064, Xi’an, Shaanxi, China. Email: [email protected]
Xiaoyao Yang [email protected]
3School of Highway, Chang’an Univ., Middle-Section of Nan’er Huan Rd., P.O. Box 710064, Xi’an, Shaanxi, China. Email: [email protected]

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