Preemptive Holistic Collaborative System and Its Application in Road Transportation
Yuan Li, Tao Li, Xiaoxue Xu, Xiang Dong, Yincai Cai, Ting Peng
TL;DR
PHCS addresses conflicts among multiple independently acting entities by enabling information sharing and holistic planning to preemptively coordinate trajectories. Applied to road transportation as PHCRTS, the framework integrates Road Section Management Units and Vehicle Intelligent Units with V2V/V2I communication and roadside processing to produce coordinated, pre-planned vehicle trajectories. In simulations of a two-lane merging scenario, PHCRTS achieves a 90% reduction in delays, a 300% increase in capacity, and eliminates accidents, demonstrating substantial improvements in safety and efficiency. The approach promises scalable ITS advancements across traffic management, emergency response, and logistics by enabling global-view planning and proactive conflict resolution among diverse actors.
Abstract
Numerous real-world systems, including manufacturing processes, supply chains, and robotic systems, involve multiple independent entities with diverse objectives. The potential for conflicts arises from the inability of these entities to accurately predict and anticipate each other's actions. To address this challenge, we propose the Preemptive Holistic Collaborative System (PHCS) framework. By enabling information sharing and collaborative planning among independent entities, the PHCS facilitates the preemptive resolution of potential conflicts. We apply the PHCS framework to the specific context of road transportation, resulting in the Preemptive Holistic Collaborative Road Transportation System (PHCRTS). This system leverages shared driving intentions and pre-planned trajectories to optimize traffic flow and enhance safety. Simulation experiments in a two-lane merging scenario demonstrate the effectiveness of PHCRTS, reducing vehicle time delays by 90%, increasing traffic capacity by 300%, and eliminating accidents. The PHCS framework offers a promising approach to optimize the performance and safety of complex systems with multiple independent entities.
