Feasibility Analysis of “Vehicle-Cloud” Coordination Control Method for Intelligent Connected Truck Platoon in Highway Accident-Prone Scenarios

Purpose: This research proposes a computationally efficient platoon control method based on vehicle-cloud coordination. The aim is to reduce the reliance of the control method on roadside infrastructure while ensuring the operational feasibility of the truck platoon. Design;/methodology/approach: A cloud-based feature database is constructed using pre-collected high-precision road data. Integrated with a three-layer “perception-decision-control” architecture, targeted platoon control strategies are designed for typical accident-prone scenarios, including continuous curves, lane blockages, and high-risk zones. Using the SUMO simulation platform, a 100-km highway scenario incorporating these three scenario types is built. Simulation validation is conducted across four dimensions: safety, stability, traffic efficiency, and environmental performance. Findings: The platoon maintains safer spacing and lower speed fluctuation (>35% reduction), achieves 11.5% travel time saving, and reduces fuel consumption and emissions by about 12% compared to single-vehicle operation. Originality/value: The proposed method enables efficient platoon control without real-time roadside units, offering a low-cost and feasible solution for intelligent connected truck platoon in highway environments.