ITSC 2025 Paper Abstract

Paper TH-LM-T21.6

Liu, Haishan (University of California, Riverside), Hao, Peng (University of California, Riverside), Wei, Zhensong (University of California, Riverside), Barth, Matthew (University of California-Riverside), Boriboonsomsin, Kanok (University of California-Riverside)

Field Study of Connected Eco-Driving and Freight Signal Priority Along an Adaptive Coordinated Signalized Corridor

Scheduled for presentation during the Invited Session "S21a-Energy-Efficient Connected Mobility" (TH-LM-T21), Thursday, November 20, 2025, 12:10−12:30, 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 Real-world ITS Pilot Projects and Field Tests, Field Test Methodologies for ITS Integration in Smart Cities, Validation of Cooperative Driving and Connected Vehicle Systems

Abstract

With the rapid growth in e-commerce in the last few decades, the amount of truck traffic, especially in urban areas, has increased substantially. The emergence of connected and automated vehicle technology has enabled the development of various advanced applications aimed at improving the safety, efficiency, and sustainability of existing transportation systems to support the increased traffic. As an example, freight signal priority (FSP) and Connected Eco-Driving (CED) applications have been proposed to reduce vehicle stops and delays at signalized intersections, thereby enabling more efficient travel on urban corridors. However, the majority of FSP and CED studies to date were conducted in simulation due to the limited availability of connected vehicles and infrastructure in the real world. In this study, we implemented these two applications on an adaptive coordinated signalized corridor in Long Beach, California, and evaluated their efficacy with a connected truck. The field trials demonstrated that both FSP and CED effectively smoothed the trajectories of the connected truck, leading to significant reductions in fuel consumption and travel time. These findings confirm the potential of these two connected vehicle applications for enhancing the efficiency and sustainability of urban freight operations.