Implement Performance Evaluation for Scheduling Algorithms used in Autonomous Driving Vehicles

Abstract

With the increasing popularity of autonomous driving vehicles, the development of efficient scheduling algorithms that can make real-time decisions for vehicle operations has become crucial. In this paper, we propose a model for evaluating the performance of scheduling algorithms such as A*, Dijkstra's, and EBAND algorithms used in autonomous driving vehicles. We will build a simulation platform to test these algorithms and compare their performance based on various metrics, such as path length, task completion time. The results of the performance evaluation will help to identify the strengths and weaknesses of each algorithm and provide insights into their suitability for different applications.