Design of an arterial signal progression plan for multi-path flows with only intersection turning counts

Chen, Yen-Hsiang; Cheng, Yao; Chang, Gang‐Len

doi:10.1016/j.trc.2021.103322

Cited by 9 publications

(3 citation statements)

References 26 publications

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“…Arsava et al [24] proposed the OD-NETBAND model, and Yan et al [25] proposed the NMBSC method to optimize the phase sequence and offset simultaneously. Yang [26] and Chen [27] considered the simultaneous optimization of phase sequence and offset to provide green bands for local paths of trunk lines. Lu et al [28][29][30] proposed a twoway green wave coordination control algorithm for the different phase design methods of the coordination direction at each intersection of the arterial in terms of separate release and mixed release.…”

Section: Literature Reviewmentioning

confidence: 99%

Arterial Coordination Control Optimization Based on AM–BAND–PBAND Model

Luo

Liu

et al. 2022

Sustainability

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The green wave coordinated control model has evolved from the basic bandwidth maximization model to the multiweight approach to an asymmetrical multiband model and a general signal progression model with phase optimization to improve the operational efficiency of urban arterial roads and reduce driving delays and the amount of exhaust gas generated by vehicles queuing at intersections. However, most of the existing green wave models of arterial roads are based on a single phase pattern and little consider the optimization of the combination of multiple phase patterns. Initial queue clearing time is also considered at the green wave progression line in the time–space diagram, which leads to a waste of green light time. This study proposes a coordination control optimization method based on an asymmetrical multiband model with phase optimization to address the abovementioned problem. This model optimizes four aspects in the time–distance diagram: phase pattern selection, phase sequence, offset, and queue clearing time. Numerical experiments were conducted using the VISSIM micro traffic simulation tool for intersections along Kunlunshan South Road in Qingdao, and the effect of green wave coordination was evaluated using hierarchical analysis and compared with the signal-timing schemes generated by the four models: the multiweight approach, the improved multiweight approach, an asymmetrical multiband model, and a general signal progression model with phase optimization. The results show that an asymmetrical multiband model with phase optimization obtains a total bandwidth of 314 s in both directions. In the outbound direction, average number of stops, average travel speed, average travel time, and average delay time improve by 16%, 7.9%, 17.9%, and 15.6%, respectively. In the inbound direction, they improve by 43.7%, 16.1%, 40.7%, and 36%, respectively. Polluting gas emissions and fuel consumption improve by 17.9%. The applicability of the optimization method under different traffic flow conditions is analyzed, and results indicate a clear control effect when the traffic volume is moderate and the turning vehicles on the feeder roads are few. This work can provide a reference for the optimization of subsequent arterial signal coordination and also has indirect significance for environmental protection to a certain extent.

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Section: Literature Reviewmentioning

confidence: 99%

Arterial Coordination Control Optimization Based on AM–BAND–PBAND Model

Luo

Liu

et al. 2022

Sustainability

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“…Numerous studies have been carried out in the past few years on arterial signal coordination optimization based on analytical modeling. For instance, Chen et al [19] maximized the arterial progression band based on the set of "local bands" related to the upstream and downstream traffic movements of each link. Jing et al [20] proposed a two-way signal progression model to simultaneously optimize phase pattern choices from overlapping phase or split phase, phase sequence, and offsets.…”

Section: Introductionmentioning

confidence: 99%

“…For instance, Chen et al. [19] maximized the arterial progression band based on the set of “local bands” related to the upstream and downstream traffic movements of each link. Jing et al.…”

Section: Introductionmentioning

confidence: 99%

Stochastic simulation‐based optimization method for arterial traffic signal coordination with equity and efficiency consideration

Zheng

Feng

Yang

et al. 2022

IET Intelligent Trans Sys

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This study proposes an innovative stochastic simulation‐based optimization (SSO) model for arterial traffic signal coordination based on the ring‐and‐barrier diagram. The SSO model takes the network traffic equity and the arterial traffic efficiency as the two objectives, which are evaluated by the relative Gini index and the relative vehicular throughout, respectively. Then a surrogate‐based promising area search (SPAS) algorithm is developed to solve the SSO model. The advantage of the SPAS algorithm is that the built‐in shrinking ball method and the promising area search technique help reduce the computational efforts while appropriately capturing the stochasticity. Then some numerical experiments are conducted based on a real‐world urban arterial road with four signalized T‐intersections and field data in Nanchang, China. The numerical results show that the SSO model for arterial traffic signal coordination can be well solved by the proposed SPAS algorithm and that the relationship between the arterial traffic efficiency and the network traffic equity is not completely competitive. Specifically, increasing the weight of arterial traffic efficiency from 0.5 can slightly improve the network traffic equity while significantly improving the arterial traffic efficiency, providing significant guidance for real‐world arterial signal coordination.

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