TITLE:
Optimization of Dedicated Lane Configuration for Connected and Automated Heavy-Duty Trucks in Mixed Traffic Flow
AUTHORS:
Haipeng Si, Zhipeng Cheng, Hongcheng Gan
KEYWORDS:
Intelligent Transportation, Mixed Traffic Flow, SUMO, Connected Freight Trucks, Dedicated Lanes
JOURNAL NAME:
Open Journal of Applied Sciences,
Vol.15 No.12,
November
27,
2025
ABSTRACT: With the rapid development of intelligent connected vehicle technology and sustained growth in freight demand, connected and automated trucks (CATs) have significantly increased their market share in airport freight corridors, forming a complex mixed traffic flow of human-driven and automated vehicles. To investigate the impact of dedicated CAT lane configurations under different market penetration rates (MPR) on traffic systems, this study establishes an evaluation framework for dynamic management of mixed traffic flows in intelligent freight corridors using the SUMO simulation platform. By integrating vehicle dynamics models and cooperative control algorithms, five lane management strategies were designed and evaluated through multi-dimensional metrics to systematically analyze traffic flow patterns under different penetration rates and strategy combinations. Results demonstrate that when CAT penetration exceeds 40%, dedicated lane strategies significantly enhance system performance: traffic efficiency improves by up to 19.31%, truck-related conflict risks are reduced by 100%, and average carbon emissions per vehicle decrease by 7%.