Journal of Applied Sciences ›› 2020, Vol. 38 ›› Issue (6): 995-1005.doi: 10.3969/j.issn.0255-8297.2020.06.016

• Signal and Information Processing • Previous Articles    

Research on Cooperative Strategy of Automobile Sharing Service Alliance Based on Game Theory and Multi-agent

WEI Xiaochao, FAN Yuyao   

  1. College of Economics, Wuhan University of Technology, Wuhan 430070, Hubei, China
  • Received:2019-12-28 Published:2020-12-08

Abstract: Based on evolutionary game and multi-agent simulation, the cooperative strategy of automobile sharing service alliance studied to strengthen alliance management and enhance the cooperation enthusiasm of alliance service providers. From the perspective of evolutionary game, a multi-agent simulation model of automobile sharing service alliance is designed, which considers the learning rules of history information of the service provider and other members in the alliance. The multi-agent simulation model of automobile sharing service alliance is constructed. In addition, the influence of different parameter settings, such as revenue, cost and penalty on the strategy of service provider alliance is studied. Based on simulation experiment, we propose strategies of strengthening alliance cooperation under different parameters, accordingly providing decision support for the cooperation strategy of automobile sharing service alliance.

Key words: automobile sharing service alliance, multi-agent simulation, cooperative strategy, evolutionary game

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