Results 11 to 20 of about 86 (82)
IET Intelligent Transport Systems, Volume 20, Issue 1, January/December 2026.This paper introduces a hybrid control framework for highway merging that integrates reinforcement learning (RL) with model predictive control (MPC) to manage both macroscopic traffic flow and microscopic vehicle interactions. Tested in METANET and SUMO, the approach improves congestion mitigation, safety and merge efficiency while ensuring ...
Masoud Pourghavam, Moosa Ayati
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BGAR: A Dual‐Channel Deep Learning Framework for Urban Expressway Traffic Accident Prediction
IET Intelligent Transport Systems, Volume 20, Issue 1, January/December 2026.This work introduces BGAR, a purpose‐built deep learning framework that resolves data heterogeneity in traffic accident prediction by using a bidirectional GRU and multi‐head attention to fuse dynamic and static features. Our architecture achieves superior predictive accuracy and provides diagnostic insights, enabling a critical shift from reactive ...
Xiuqi Zhang +4 more
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Computer-Aided Civil and Infrastructure Engineering, Volume 40, Issue 31, Page 6533-6551, 29 December 2025.Abstract The concept of contraflow left‐turn lane (CLL) design has been proposed for nearly 10 years, which provides a novel approach to alleviate traffic congestion in urban areas, especially for those signalized intersections with heavy left‐turn traffic.
Xiao Chen, Yunqing Jia
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Energy Internet, Volume 2, Issue 3, Page 255-273, October 2025.ABSTRACT The interconnection of urban critical infrastructure poses new challenges to the secure operation of power grid‐centric urban lifeline systems. The interdependencies among infrastructure systems increase the risk of cascading fault propagation, thereby threatening urban public safety.
Chengeng Zhang +3 more
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Computer-Aided Civil and Infrastructure Engineering, Volume 40, Issue 24, Page 3953-3978, 6 October 2025.Abstract Real‐time traffic signal control (TSC) in road networks remains challenging due to variable traffic flows and high computational complexity. Existing model predictive control (MPC) approaches often face several limitations, including the reliance on commercial solvers, the inflexibility of single‐objective optimization, and the use of ...
Lyuzhou Luo +3 more
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Computer-Aided Civil and Infrastructure Engineering, Volume 40, Issue 21, Page 3200-3217, 29 August 2025.Abstract First‐order link‐based traffic flow models are computationally efficient in simulating freeway networks. However, the standard link transmission models fall short of reproducing traffic phenomena such as capacity drop (CD). Moreover, traffic control measures such as variable speed limits (VSLs) control may change the fundamental diagram and ...
Lei Wei, Yu Han, Meng Wang
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Asynchronous decentralized traffic signal coordinated control in urban road network
Computer-Aided Civil and Infrastructure Engineering, Volume 40, Issue 7, Page 895-916, 10 March 2025.Abstract This study introduces an asynchronous decentralized coordinated signal control (ADCSC) framework for multi‐agent traffic signal control in the urban road network. The controller at each intersection in the network optimizes its signal control decisions based on a prediction of the future traffic demand as an independent agent. The asynchronous
Jichen Zhu +5 more
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An adversarial diverse deep ensemble approach for surrogate‐based traffic signal optimization
Computer-Aided Civil and Infrastructure Engineering, Volume 40, Issue 5, Page 632-657, 17 February 2025.Abstract Surrogate‐based traffic signal optimization (TSO) is a computationally efficient alternative to simulation‐based TSO. By replacing the simulation‐based objective function, a surrogate model can quickly identify solutions by searching for extreme points on its response surface. As a popular surrogate model, the ensemble of multiple diverse deep
Zhixian Tang +4 more
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IET Intelligent Transport Systems, Volume 19, Issue 1, January/December 2025.This article proposes an edge‐computing‐based CAV operation at a stop‐controlled intersection. It investigates different cooperation classes at a stop‐controlled intersection. The numerical experiments show that mobility and energy efficiency are improved as the cooperation class increases. Computational time is much reduced with the proposed framework.
Saeid Soleimaniamiri +6 more
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IET Intelligent Transport Systems, Volume 19, Issue 1, January/December 2025.This study proposes a linear model predictive control‐based ramp metering strategy for continuous multi‐bottleneck highway segments. By coordinating ramp inflows across the corridor using a linearized macroscopic traffic model, the approach significantly reduces travel time and congestion compared to conventional methods. Simulation results confirm its
Yifei Yang, Shunchao Wang, Zhibin Li
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