Vehicle sharing system with fleet sizing and multi-transportation modes under allowable shortages: a hybrid metaheuristic approach

Ehsan Ali Askari, Mahdi Bashiri, Reza Tavakkoli-Moghaddam

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

ABSTRACT: In this paper, a vehicle sharing system with multi-transportation modes and allowable shortage is presented. This model aims to minimize the system's total cost by using optimum locations and number of stations, routes, transportation modes, station capacities for different modes and time between stations balancing. Because of the model's complexity, currently available proprietary software is not able to solve the model in a reasonable computational time, so a hybrid algorithm based on a genetic algorithm (GA) and particle swarm optimization is presented. The results confirm its efficiency compared with the classic GA and exact solution methods. Moreover, a sensitivity analysis shows the applicability of the proposed algorithm.

Original languageEnglish
Pages (from-to)300-317
Number of pages18
JournalTransportation Planning and Technology
Volume39
Issue number3
DOIs
Publication statusPublished - 2 Apr 2016
Externally publishedYes

Keywords

  • evolutionary computation
  • inventory management
  • multi-transportation modes
  • sensitivity analysis
  • system cost
  • Vehicle sharing systems

ASJC Scopus subject areas

  • Geography, Planning and Development
  • Transportation

Fingerprint Dive into the research topics of 'Vehicle sharing system with fleet sizing and multi-transportation modes under allowable shortages: a hybrid metaheuristic approach'. Together they form a unique fingerprint.

  • Cite this