Cloud-enabled co-optimization of priority vehicle preemption and traffic signal control with deep reinforcement learning

Xu, Kaiyao, Zhou, Bin, Zhang, Zhenyang, Ma, Dongfang, Kaparias, Ioannis and Hu, Simon (2025) Cloud-enabled co-optimization of priority vehicle preemption and traffic signal control with deep reinforcement learning. In 2025 9th International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS). IEEE. 6 pp . (doi:10.1109/MT-ITS68460.2025.11223568).

Abstract

The convergence of deep reinforcement learning (DRL) and advanced sensor technologies is transforming Traffic Signal Control (TSC), enhancing its adaptability and efficiency. Priority vehicles (PVs) are pivotal in safeguarding public safety and enhancing emergency response, so their efficient passage is of utmost importance. In the context of Vehicle-Road-Cloud Integration (VRCI), real-time data interaction and collaborative processing can be realized among road infrastructure, vehicles, and the cloud. This trend offers us an opportunity to capitalize on their advantages and better optimize the guidance of priority vehicles. Therefore, this paper presents a method namely Cloudenabled Co-optimization of Priority Vehicle Preemption and Traffic Signal Control (CCPVLight). This method dynamically fuses the sensing data from road, the status of vehicles, and the computing from the cloud to jointly optimize the priority strategy on TSC. By designing a priority module to extract the phase priority vector and adopting a multi-objective decision making mechanism to optimize the phase selection scheme, it significantly enhances the adaptability to complex and dynamic mixed traffic flows. Comprehensive experiments were conducted using the Simulation of Urban Mobility (SUMO) simulator. The results from both the training and testing scenarios have proven the effectiveness of CCPVLight, indicating its potential for realworld applications.

This record has no associated files available for download.

Contributors

Author: Ioannis Kaparias

Download statistics