A dynamic route planning process for intelligent connected vehicles based on the collaboration between vehicle, road and cloud.

Abstract

The present invention discloses a dynamic path planning method for intelligent connected vehicles based on collaboration between vehicle, road, and cloud, comprising: collecting and integrating road data from multiple sources with the vehicle status; creating a three-layer directed graph model comprising components at the lane, road, and road network levels; performing task distribution for multiple vehicles and planning critical waypoints based on this model; updating weights according to real-time traffic conditions, predicting and resolving vehicle conflicts, and dynamically deciding on task distribution between vehicle and roadside devices; and generating smooth trajectories at the lane level.By using a multi-layered graph model to represent complex road network structures in combination with a distributed cooperation architecture and predictive conflict coordination mechanisms, the present invention solves problems inherent in traditional methods, namely inaccurate model representation, poor real-time system performance, reactive conflict handling, and inefficient resource utilization. This results in highly precise, highly efficient, and highly secure cooperative route planning for intelligent connected vehicles.