Traffic signal coordination control along oversaturated two-way arterials

Xu, Haitao; Zhuo, Zuozhang; Chen, Jing; Fang, Xujian

doi:10.7717/peerj-cs.319

Cited by 12 publications

(6 citation statements)

References 19 publications

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“…In terms of the algorithm of the traffic signal control, an SFM (Semi-decentralized Feudal Multi-agent)-LSAC (Learned-goal Soft Actor-Critic) algorithm was proposed for multi-intersection traffic signal control [7]. Another article developed a novel traffic coordination control method to optimize the coordination parameters of green time plans and offset for all intersections along oversaturated arterial [8]. Besides, considering the settings of left-turn bays, two single-objective optimization models were developed for paired intersections with uncoordinated and coordinated signals [9].…”

Section: Introductionmentioning

confidence: 99%

Evaluation and Analysis of CFI Schemes with Different Length of Displaced Left-Turn Lanes with Entropy Method

et al. 2021

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As an unconventional design to alleviate the conflict between left-turn and through vehicles, Continuous Flow Intersection (CFI) has obvious advantages in improving the sustainability of roadway. So far, the design manuals and guidelines for CFI are not enough sufficient, especially for the displaced left-turn lane length of CFI. And the results of existing research studies are not operational, making it difficult to put CFI into application. To address this issue, this paper presents a methodological procedure for determination and evaluation of displaced left-turn lane length based on the entropy method considering multiple performance measures for sustainable transportation, including traffic efficiency index, environment effect index and fuel consumption. VISSIM and the surrogate safety assessment model (SSAM) were used to simulate the operational and safety performance of CFI. The multi-attribute decision-making method (MADM) based on an entropy method was adopted to determine the suitability of the CFI schemes under different traffic demand patterns. Finally, the procedure was applied to a typical congested intersection of the arterial road with heavy traffic volume and high left-turn ratio in Xi’an, China, the results showed the methodological procedure is reasonable and practical. According to the results, for the studied intersection, when the Volume-to-Capacity ratio (V/C) in the westbound and eastbound lanes is less than 0.5, the length of the displaced left-turn lanes can be selected in the range of 80 to 170 m. Otherwise, other solutions should be considered to improve the traffic efficiency. The simulation results of the case showed CFI can significantly improve the traffic efficiency. In the best case, compared with the conventional intersection, the number of vehicles increases by 13%, delay, travel time, number of stops, CO emission, and fuel consumption decrease by 41%, 29%, 25%, 17%, and 17%, respectively.

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Section: Introductionmentioning

confidence: 99%

Evaluation and Analysis of CFI Schemes with Different Length of Displaced Left-Turn Lanes with Entropy Method

et al. 2021

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“…Therefore, it was time for its intensive use to optimize the duration of green lights in urban networks [28][29][30]. The model is successively complicated and applied to green wave optimization [31]; to the coordination of two-way arterial routes [32]; to the application of model predictive control [33,34].…”

Section: Basic Formalization Of Traffic Managementmentioning

confidence: 99%

Optimizing Traffic Light Green Duration under Stochastic Considerations

Stoilova

Stoilov

2023

Mathematics

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An optimization model for traffic light control in an urban network of intersections is derived. The model is based on store-and-forward analytic relations, which account for the length of the queue of waiting vehicles in front of the traffic light intersection. The model is complicated with probabilistic relations that formalize the requirements for maintaining short queues of vehicles. Probabilistic inequalities apply to each intersection of the city network. Approximations of probability inequalities are given in the article. Quadratic deterministic inequalities, which are part of the set of the traffic flow control optimization problem, are derived. Numerical simulations are performed, applying mean estimated data for real traffic in an urban area of Sofia. The model predictive approach is applied to traffic light optimization and control. Empirical results give advantages of the obtained model compared to the classical store-and-forward optimization model for the total number of vehicles waiting in the considered urban network.

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“…Thus, a sensitivity analysis of its applicability conditions is conducted to provide a reference for the optimization of the subsequent signal coordination control. We refer to the literature [43] in analyzing the sensitivity of AM-BAND-PBAND model under different traffic flow conditions. The data in Table 3 are used as the basis, with traffic flow coefficients set to 0.4, 0.5, 0.6, 0.8, 1.0, 1.1, 1.2, 1.4, and 1.6 to obtain 10 different scenarios.…”

Section: Sensitivity Analysismentioning

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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Traffic signal coordination control along oversaturated two-way arterials

Cited by 12 publications

References 19 publications

Evaluation and Analysis of CFI Schemes with Different Length of Displaced Left-Turn Lanes with Entropy Method

Evaluation and Analysis of CFI Schemes with Different Length of Displaced Left-Turn Lanes with Entropy Method

Optimizing Traffic Light Green Duration under Stochastic Considerations

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

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