journal article·2025-03-03Open access

Improving Freight Traffic Efficiency at Urban Intersections Using Heavy Vehicle Platooning

Mohammad D. Alahmadi, Ahmed S. Alzahrani

Applied Sciences· Volume 15· Issue 5

Abstract

The increasing presence of heavy connected vehicles (HCVs) in urban traffic necessitates optimized signal-control strategies to improve efficiency. This study develops a platoon-based signal-optimization algorithm to reduce delays, minimize stops, and enhance traffic flow at intersections. The algorithm collects real-time CV data (speed, position, and inter-vehicle distances) to identify platoons, then dynamically adjusts signal timings using platoon-prioritized signal control and advisory speed coordination to synchronize HCV arrivals with green intervals. The algorithm was tested using a VISSIM microscopic traffic-simulation model, calibrated with real-world traffic data from Tallahassee, Florida, under varying traffic-demand scenarios and connected vehicle penetration levels. Performance was evaluated based on average HCV delay and the total number of stops, comparing the platoon-based approach to actuated and vehicle-based signal-control methods. Results show a significant reduction in both delay and stops, with the greatest improvements observed under higher CV penetration and over-saturated conditions. These findings confirm the effectiveness of platoon-based optimization in improving intersection performance and overall traffic progression. Future research will focus on multi-intersection applications and V2I integration to further optimize signal-control strategies.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Traffic control and management · Transportation Planning and Optimization · Transportation Systems and Logistics

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Software Engineering Department, College of Computer Science and Engineering, University of Jeddah, Jeddah 21493, Saudi Arabia

Civil Engineering Department, King Abdulaziz University, Jeddah 21589, Saudi Arabia

Funding

Deputyship for Research & Innovation, Ministry of Education in Saudi Arabia

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