Work

Multiobjective Evolutionary Algorithm for Integrated Timetable Optimization With Vehicle Scheduling Aspects

Year: 2010

Type: article

Abstract: This paper describes the implementation of evolutionary multiobjective geneticalgorithm (NSGA-II) to integrate timetabling and vehicle scheduling stages of thetransportation planning proces. Model with timetable optimization focused onminimizing the transfer time of the passengers in transfer node along withminimizing the number of vehicles needed to operate such timetable is presented.Results from simple test case illustrate the effectiveness of a such approach.Developed solution is able to optimize conflicting objectives of passengers andtransportation company simultaneously.

Source: Perner s Contacts

Authors: Michal Weiszer, Gabriel Fedorko

Institution: Technical University of Košice

Language: English

Topic: Transportation Planning and Optimization

Subfield: Transportation

Field: Social Sciences

Domain: Social Sciences

SDG: Industry, innovation and infrastructure

Open Access status: diamond

OpenAlex ID: W2552631727

FWCI:

Cites: 5

Cited by: 4

Related to: 10