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Operation Optimization on Bus and ART by Evolutionary Game Theory

  • Hongbo Lu,
  • Yong Liu,
  • Xiaowei Hu,
  • Zhanguo Xu,
  • Zhuo Wang

摘要

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.