Oct 2026· Journal of Physics, Conference Series· Vol 3330, pp. 012022· 0 citations· 14 references
Physics
Abstract
This study proposes a dynamic spatiotemporal coordination framework for signalized intersections with variable approach lanes (VALs), aiming to enhance road resource utilization and mitigate demand-supply imbalances. Lane-switching decisions are determined by switching intervals, movement saturation, and average delay, with transitions implemented through coordinated control. The framework adopts dual objectives of minimizing average delay and lane-changing frequency, while analyzing the effect of lane-switching intervals. Detector data on queue lengths and arrival rates are used to construct arrival-departure diagrams, from which an analytical delay formulation is derived to support a delay-based signal timing optimization model. Case studies on a Shanghai intersection using SUMO simulations show that, compared with fixed-time control, the proposed strategy reduces approach delay by 5.0-7.5%, increases throughput by 2.6-9.7%, and decreases overall intersection delay by 2.8-6.0%. These findings demonstrate that the proposed method effectively alleviates congestion and improves efficiency at intersections with unbalanced traffic demand.
A prediction-guided, distributed signal–trajectory coordination framework for mixed traffic with scalable cooperative control for heterogeneous connected traffic, and results support scalable cooperative control for heterogeneous connected traffic.
Hao-Lin Zhang, Yuan-Sheng Xie, Yang Zeng et al.· Electronics· 1 citation
The efficient use of existing road infrastructure has become increasingly important in densely developed urban areas where large-scale roadway expansion is constrained. Variable directional lanes (VDLs) and traffic signal control can reallocate roadway capacity and improve network performance. However, most existing st...
Fei Zhao, Xiao-Feng Pan, Ming Zhong et al.· Sustainability· 0 citations
Urban traffic signal systems based on fixed-time plans may not adequately respond to variations in traffic demand among signalized intersections, limiting their operational efficiency. This study proposes a data-driven framework based on a Multilayer Perceptron (MLP) to support traffic signal timing optimization in an...
Daniel Mauricio Beltrán Del Hierro, Dennysse Marisol Castillo Martinez, Fernando Tiverio Molina Granja et al.· The Scientist· 0 citations
Automated systems are considered that can improve traffic order and enable adaptive traffic light timing by optimizing the speed trajectories of vehicles crossing a sequence of intersections. Specifically, we investigate the impact of corridor topology (e.g., green wave duration, phase shifts) on the expected time savi...
B. Belgibayev, D. Zhamangarin, Nurbek Saparkhodzhayev et al.· Trudy Universiteta· 0 citations
Urban traffic congestion has become increasingly severe due to the rapid growth of vehicle demand, making efficient signal control a critical challenge. Existing traffic signal optimization methods typically focus on either isolated intersections or arterial coordination, lacking a unified framework that balances netwo...
Fu-Qiang You, Su-Fei Huang, Zi-Heng Zhang· World wide web (Bussum)· 0 citations
The results show that when the typical circular intersection of Fuye Square in Changchun City is changed to a planar cross intersection, the traffic capacity increases from 5326pcu/h to 9,906 pcu/h, and indicators such as queue length, service level, and average vehicle delay are all improved.
Jin-Feng Li, Huan-Hui Jing, Xiu-Juan Tian et al.· Journal of Physics, Conferen...· 0 citations
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