Optimal speed limit control for network mobility and safety : a twin-delayed deep deterministic policy gradient approach
Afifah, Fatima and Guo, Zhaomiao (2025) Optimal speed limit control for network mobility and safety : a twin-delayed deep deterministic policy gradient approach. Transportmetrica B: Transport Dynamics, 13 (1). 2474663. ISSN 2168-0582 (https://doi.org/10.1080/21680566.2025.2474663)
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Abstract
Variable speed limit control (VSLC) has emerged as a promising approach for improving traffic safety and reducing congestion. However, local adjustment of VSLC may have broader impacts on the transportation network performance due to driver rerouting. This study proposes a deep reinforcement learning (DRL) controller based on twin-delayed deep deterministic policy gradient (TD3) algorithm to improve mobility and safety over a small-scale interconnected network considering rerouting behavior. The proposed DRL-based VSLC controller is designed to handle a large number of possible speed limits at each time step by utilizing a deep actor-critic framework. The study also experiments with different reward functions to characterize network mobility, safety, and traffic oscillation. Additionally, we investigate the sensitivity of the control algorithm across different traffic patterns, driving behavior, and VSLC locations, where the proposed TD3 algorithm demonstrated robustness and generalizability. Our findings indicate that implementing network-specific reward functions leads to improvements in traffic safety and mobility. Specifically, it results in a 3.84% enhancement in overall safety, as measured by time-to-collision metrics, and a 33.2% improvement in mobility by reducing total travel time compared to the scenario without VSL control. While comparable in safety performance, TD3 outperforms deep deterministic policy gradient (DDPG) algorithm by 15.1% in terms of mobility. This study contributes to the understanding of the impacts of VSLC on transportation networks and provides insights into effective ways of implementing VSLC to improve network mobility and safety.
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Item type: Article ID code: 92532 Dates: DateEvent31 December 2025Published25 March 2025Published Online6 February 2025Accepted24 April 2024SubmittedSubjects: Social Sciences > Transportation and Communications Department: Faculty of Engineering > Civil and Environmental Engineering
Faculty of EngineeringDepositing user: Pure Administrator Date deposited: 04 Apr 2025 10:15 Last modified: 05 Apr 2025 07:06 URI: https://strathprints.strath.ac.uk/id/eprint/92532