Comprehensive Evaluation Method of Arrangement, Scheduling and Route of Multi-vehicle
Xing Cheng, Ying Li, Gumin Jin, Jianxun Li, Ya Wang · 2022 34th Chinese Control and Decision Conference (CCDC) · 2022
With the rapid development of autonomous driving technology and driverless cars, in many occasions, multi-vehicles are required to implement the entire task process including arrangement, scheduling, and routing. Although a large number of optimization algorithms have been researched and applied, there is a lack of certain standards and methods for judging the quality of the whole task process. In order to improve the overall planning effect, this paper constructs an evaluation index system for the entire task process, uses the analytic hierarchy process to assign weights to various indicators to complete the comprehensive evaluation, and combines the results of the comprehensive evaluation to give the optimization feedback to the planning algorithm. Experimental simulation verification is carried out for the improvement of the overall planning algorithm and the improvement of the comprehensive evaluation effect for the integrity of the evaluation index system and the optimization feedback.