Study on Optimal Model of Traffic Signal Control at Oversaturated Intersection

Wu, Chaoyang; Zeng, Xiaoqing; Zhan, Jifei; Xiong, Qipeng

doi:10.1007/978-981-13-7542-2_3

Cited by 1 publication

(2 citation statements)

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“…In view of that it is difficult to obtain the parameter of , we further simplify the equation (25). We denote the vehicle counts at stop bar detector by which can be detected by the corresponding detectors.…”

Section: Queue Spillover Identificationmentioning

confidence: 99%

“…Ren et al [24] proposed a method based on the connected vehicle environment to identify queue spillover trend and optimized the signal timing. Wu et al [25] proposed a two-point-three state traffic state perception model to analyze the traffic state and to determine the corresponding green time extension scheme. Although the aforementioned methods can limit the queue length to mitigate oversaturation to some extent, these methods cannot predict future traffic condition.…”

Section: Introductionmentioning

confidence: 99%

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Integration of Model‐Based Signal Control and Queue Spillover Control for Urban Oversaturated Signalized Intersection

Chen

2019

Mathematical Problems in Engineering

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An improved model-based predictive control approach integrating model-based signal control and queue spillover control is proposed in this paper, which includes three modules: model-based signal control, queue spillover identification, and spillover control to deal with the problem of traffic congestion for urban oversaturated signalized intersection. The main steps are as follows. First of all, according to the real-time traffic flow data, the green time splits for all intersections will be solved online by the modelbased signal control controller whose optimization model is based on model-predictive control (MPC) strategy. Second, the queue spillover identification module will be used to detect the potential queue spillover. If potential queue spillover is detected, the spillover control module will be activated to prevent vehicles from the upstream link of the link with possible spillover from entering the downstream link to avoid traffic congestion. The experiment is performed on a simulated road network. The results verify that the proposed scheme can significantly decrease the delay which reflects the overall performance of the studied intersection.

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Section: Queue Spillover Identificationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%