Scheduling Model and Algorithm for Transportation and Vehicle Charging of Multiple Autonomous Electric Vehicles

• DOI: 10.3390/math13010145
• Publication Date: 2025-01-02T11:05:10Z
• Authors: Xiaoli Wang; Zhiyu Zhang; Mengmeng Jiang; Yifan Wang; Yuping Wang
• Keywords: Leverage (statistics); Idle

Autonomous electric vehicle (AEV) services leverage advanced autonomous driving and technologies to provide innovative, driverless transportation solutions. The biggest challenge faced by AEVs is the limited number of charging stations long times. A critical maximizing passenger travel satisfaction while reducing AEV idle time. This involves coordinating transport tasks via leveraging information from stations, transport, data. There are four important contributions in this paper. Firstly, we introduce an integrated scheduling model that considers both tasks. Secondly, propose a multi-level differentiated threshold strategy, which dynamically adjusts based on battery levels availability competition among vehicles minimizing waiting Thirdly, develop rapid strategy optimize selection combining geographic deviation distance. Fourthly, design new evolutionary algorithm solve proposed model, buffer space introduced promote diversity within population. Finally, experimental results show compared existing state-of-the-art algorithms, shortens running time algorithms 6.72% reduces 6.53%, proves effectiveness efficiency algorithm.