School Bus Routing using Metaheuristics Algorithms

Zihao Xue, Xiangwen Deng, Bingxu Chen, Alaa Khamis

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

Addressing school bus routing problem is important to ensure a safe and cost effective solution for students, parents and stakeholders. However, challenges in terms of multiple constraints and objectives are present. In this paper, school bus routing problem is formulated as contained multi-objective optimization problem. Cluster-first route-second scheme, genetic algorithm and adaptive genetic algorithm are applied to solve this problem. The performance of these algorithms are evaluated using real data of public schools in the City of Winchester, Virginia, USA. The conducted experiments showed that Cluster-first route-second yields the optimal solution.

Original languageEnglish
Title of host publication2023 IEEE International Conference on Smart Mobility, SM 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages33-38
Number of pages6
ISBN (Electronic)9798350312751
DOIs
StatePublished - 2023
Externally publishedYes
Event2023 IEEE International Conference on Smart Mobility, SM 2023 - Thuwal, Saudi Arabia
Duration: 19 Mar 202321 Mar 2023

Publication series

Name2023 IEEE International Conference on Smart Mobility, SM 2023

Conference

Conference2023 IEEE International Conference on Smart Mobility, SM 2023
Country/TerritorySaudi Arabia
CityThuwal
Period19/03/2321/03/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

Keywords

  • Ant Colony System
  • Cluster-first route-second
  • Genetic Algorithm
  • Metaheuristics
  • school Bus Routing

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Control and Optimization
  • Transportation

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