ITSC 2025 Paper Abstract

Paper TH-LA-T21.1

Ming, Zhuang (Zhejiang University), Zhou, Qishen (Zhejiang University), Na, Xiaoxiang (University of Cambridge), Jin, Sheng (Zhejiang University), Ma, Dongfang (Zhejiang University), Hu, Simon (Zhejiang University)

Impact of Eco-Driving on Traffic Performance at Signalized Intersections: Blockage and Spillover

Scheduled for presentation during the Invited Session "S21c-Energy-Efficient Connected Mobility" (TH-LA-T21), Thursday, November 20, 2025, 16:00−16:20, Surfers Paradise 3

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

Keywords Energy-efficient Motion Control for Autonomous Vehicles, Real-time Motion Planning and Control for Autonomous Vehicles in ITS Networks, Cooperative Driving Systems and Vehicle Coordination in Multi-vehicle Scenarios

Abstract

With the growing adoption of eco-driving strategies in connected and automated vehicles (CAVs), their potential for reducing energy consumption and emissions has been widely recognized. However, most existing studies overlook the complex interactions that arise in urban road networks, where anticipatory deceleration by eco-driving vehicles can disrupt surrounding traffic and even degrade overall traffic performance. This paper presents a systematic evaluation framework to assess the impact of eco-driving strategies in realistic urban settings featuring multiple intersections and channelized lanes. We analyze how eco-driving influences energy efficiency, safety, and traffic flow under various traffic demand levels. Particular attention is given to two adverse phenomena: channelized section entrance blockage and intersection queue spillover, both of which are exacerbated by early deceleration behavior and have been largely neglected in prior studies. Simulation results reveal that while eco-driving improves energy performance, it can also reduce road capacity and increase congestion in high-demand scenarios. We further investigate how different eco-driving vehicle penetration rates and initiation locations affect these outcomes. Based on the findings, we propose context-aware deployment guidelines to maximize the benefits of eco-driving while mitigating its negative side effects.