Kamal, Md Abdus Samad (Gunma University), Bakibillah, A S M (Tokyo Institute of Technology), Nakakura, Kenta (Gunma University), Yamada, Kou (Gunma University), Imura, Jun-ichi (Tokyo Institute of Technology)

Facilitating Efficient Driving and Intersection Flow Using Auxiliary Traffic Signals for Traditional and Automated Vehicles

Scheduled for presentation during the Regular Session "S35b-Optimization, Control, and Learning for Efficient and Resilient ITS" (FR-EA-T35), Friday, November 21, 2025, 14:30−14:50, Surfers Paradise 2

2025 IEEE 28th International Conference on Intelligent Transportation Systems (ITSC), November 18-21, 2025, Gold Coast, Australia

This information is tentative and subject to change. Compiled on October 18, 2025

Abstract

This paper presents an optimal pre-signal-based traffic signal framework that enhances intersection traffic flows while enabling efficient driving behavior, suitable for traditional and automated vehicles (AVs). Specifically, we propose the inclusion of an auxiliary traffic signal at an early stop line located before the standard one at the intersection, which allows the leading vehicle to enter the intersection immediately at a green light with a higher speed, reducing the start-up loss time by activating the auxiliary green light slightly earlier than the main conventional traffic signal. The relative positioning of the early stop line is optimized numerically for effectively redesigning the signaling system, considering relevant safety issues, constraints, and objectives. The vehicle control system employs model predictive control (MPC) to minimize costs associated with velocity and acceleration while maintaining a safe following distance. Through microscopic traffic simulations, the performance of traditional and automated vehicles is analyzed within this new signal system. The findings indicate a marked improvement in average speed, travel duration, fuel efficiency, and idling time compared to conventional intersection traffic management.