Route Planning for Autonomous Driving Based on Traffic Information via Multi-Objective Optimization

Route planning for autonomous driving is a global road method based on given starting point and target combined with current traffic flow information. The optimal route can reduce jams improve the safety economy of vehicles. optimization only considers single objective or chain objectives, which cannot meet requirements drivers. In this paper, we devise general framework multi-objective optimization. Different from not information, travel time, distance, cost personal preference, but focuses more vehicle status driver requirements. We use an improved depth-first search algorithm to find route. evaluations our real-world data indicate feasibility applicability framework. Our study contributes better understanding reveals that exploitation preference flexibly configure corresponding according driver’s