Skip to main navigation Skip to search Skip to main content

Operation Optimization on Bus and ART by Evolutionary Game Theory

  • Hongbo Lu
  • , Yong Liu
  • , Xiaowei Hu*
  • , Zhanguo Xu
  • , Zhuo Wang
  • *Corresponding author for this work
  • School of Transportation Science and Engineering, Harbin Institute of Technology
  • Nanjing Institute of Urban and Transportation Planning and Design

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Autonomous rail Rapid Transit (ART) is a new type of medium volume public transport, with short construction cycle, low economic cost and zero emissions and other significant advantages, which is a supplement to the current public transport. However, the research on its operation mode is relatively insufficient, especially the cooperative operation mode between ART and conventional public transport system (bus) has not been studied. Therefore, starting from the problem of whether bus and ART choose to participate in this mode, and aiming at the characteristics of bounded rationality of their strategic choice, an evolutionary game model based on the selection process of these two passenger transportation modes was established by using evolutionary game method. The stability analysis and simulation analysis were carried out by using relevant data. The results showed that the final stable state is both cooperative and neither cooperative. The greater the initial participation will promote the final cooperation, and the initial participation intention of bus has a greater influence on the final result; government agencies should encourage bus service providers to participate in cooperative operation and improve the level of public transport services.

Original languageEnglish
Title of host publicationSmart Transportation and Green Mobility Safety - Green Mobility
EditorsWuhong Wang, Lisheng Jin, Haiqiu Tan
PublisherSpringer Science and Business Media Deutschland GmbH
Pages77-89
Number of pages13
ISBN (Print)9789819724420
DOIs
StatePublished - 2024
Externally publishedYes
Event13th International Conference on Green Intelligent Transportation Systems and Safety, GITSS 2022 - Qinghuangdao, China
Duration: 16 Sep 202218 Sep 2022

Publication series

NameLecture Notes in Electrical Engineering
Volume1181 LNEE
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

Conference13th International Conference on Green Intelligent Transportation Systems and Safety, GITSS 2022
Country/TerritoryChina
CityQinghuangdao
Period16/09/2218/09/22

Keywords

  • ART
  • Evolutionary game
  • Operation strategy
  • Public transport
  • Replicated dynamic equation

Fingerprint

Dive into the research topics of 'Operation Optimization on Bus and ART by Evolutionary Game Theory'. Together they form a unique fingerprint.

Cite this