Research on Multi-Objective Collaborative Optimization Model for Scheduling and Charging of Electric Buses

DOI

10.2991/978-94-6239-740-8_4How to use a DOI?

Keywords

Electric buses; Scheduling optimization; Charging strategy; Heuristic algorithm

Abstract

This paper addresses the collaborative optimization problem of electric bus scheduling and charging by constructing a hybrid optimization model aimed at minimizing fleet size and maximizing vehicle utilization. An improved heuristic algorithm is employed to solve the model, and simulation experiments are conducted using actual operational data. The results demonstrate that the model can achieve complete assignment of all trips and efficient resource utilization, while adhering to constraints related to time windows, power capacity, and charging facilities, resulting in a vehicle utilization rate of 85%. This validates the model's effectiveness and engineering practicality and provides decision support for the intelligent scheduling system of electric buses.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Yanbo Chen
AU  - Jiamu Chen
AU  - Jie Ma
PY  - 2026
DA  - 2026/08/14
TI  - Research on Multi-Objective Collaborative Optimization Model for Scheduling and Charging of Electric Buses
BT  - Proceedings of the 2026 9th International Symposium on Traffic Transportation and Civil Architecture (ISTTCA 2026)
PB  - Atlantis Press
SP  - 27
EP  - 38
SN  - 2589-4943
UR  - https://doi.org/10.2991/978-94-6239-740-8_4
DO  - 10.2991/978-94-6239-740-8_4
ID  - Chen2026
ER  -