An ϵ-Constraint Multi-objective Algorithm for Transit Route Design with Subsidy Consideration

Li Wen Chen, Ta Yin Hu, Le Chi Shih, Tsai Yun Liao

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Smart City has been proposed to be a total solution for cities around the world. Public transportation, as one of the basic element in a Smart City, provides shared transport service, such as bus, light rail transit (LRT), and mass rapid transit (MRT), to save energy, reduce air pollution and relieve congestion. For transit operators, how to provide efficient and effective service in traffic networks with limited budget is an important issue. As more public transportation is deployed under the same budget, how to balance bus route and subsidy becomes a new issue. The research proposes a multi-objective formulation to design the optimal bus routes under three conflicting objectives, including travel cost, demand, and subsidy. The solution algorithm is constructed based on the ϵ-constraint method to solve the problem. Numerical experiments based on a realistic network in Chiayi (Taiwan) are conducted to illustrate the proposed algorithm.

Original languageEnglish
Title of host publicationProceedings of the 2018 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages163-168
Number of pages6
ISBN (Electronic)9781538645222
DOIs
Publication statusPublished - 2018 Sept 28
Event2018 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2018 - Singapore, Singapore
Duration: 2018 Jul 312018 Aug 2

Publication series

NameProceedings of the 2018 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2018

Other

Other2018 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2018
Country/TerritorySingapore
CitySingapore
Period18-07-3118-08-02

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Information Systems and Management
  • Management Science and Operations Research
  • Instrumentation
  • Computer Networks and Communications
  • Computer Science Applications

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