A fuel-efficient route plan app 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: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


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
Title of host publicationIoT as a Service - Third International Conference, IoTaaS 2017, Proceedings
EditorsYi-Bing Lin, Ilsun You, Der-Jiunn Deng, Chun-Cheng Lin
PublisherSpringer Verlag
Number of pages10
ISBN (Print)9783030004095
StatePublished - 1 Jan 2018
Event3rd International Conference on IoT as a Service, IoTaaS 2017 - Taichun, Taiwan
Duration: 20 Sep 201722 Sep 2017

Publication series

NameLecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
ISSN (Print)1867-8211


Conference3rd International Conference on IoT as a Service, IoTaaS 2017


  • Fuel efficiency
  • Game theory
  • Route plan

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