A fuel-efficient route plan method based on game theory

Chi Lun Lo, Chi Hua Chen*, Jin-Li Hu, Kuen Rong Lo, Hsun Jung Cho

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

4 Scopus citations


This study adopts a fuel consumption estimation method to measure the consumed fuel quantity of each vehicle speed interval (i.e., a cost function) in accordance with individual behaviors. Furthermore, a mobile app is designed to consider the best responses of other route plan apps (e.g., the shortest route plan app and the fast route plan app) and plan the most fuel-efficient route according to the consumed fuel quantity. The numerical analysis results show that the proposed fuel-efficient route plan app can effectively support fuel-saving for logistics industries.

Original languageEnglish
Pages (from-to)925-932
Number of pages8
JournalJournal of Internet Technology
Issue number3
StatePublished - 1 Jan 2019


  • Fuel efficiency
  • Game theory
  • Route plan

Fingerprint Dive into the research topics of 'A fuel-efficient route plan method based on game theory'. Together they form a unique fingerprint.

Cite this