Volume 39 Issue 5
Nov.  2021
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ZHOU Dan, YAO Weizhen, GU Guobin, HU Qingwei. An Evolutionary Game Model of Traffic Conflict Between Electric Bicycles and Pedestrians in Bus Stop Areas[J]. Journal of Transport Information and Safety, 2021, 39(5): 27-35. doi: 10.3963/j.jssn.1674-4861.2021.05.004
Citation: ZHOU Dan, YAO Weizhen, GU Guobin, HU Qingwei. An Evolutionary Game Model of Traffic Conflict Between Electric Bicycles and Pedestrians in Bus Stop Areas[J]. Journal of Transport Information and Safety, 2021, 39(5): 27-35. doi: 10.3963/j.jssn.1674-4861.2021.05.004

An Evolutionary Game Model of Traffic Conflict Between Electric Bicycles and Pedestrians in Bus Stop Areas

doi: 10.3963/j.jssn.1674-4861.2021.05.004
  • Received Date: 2021-04-30
  • The work studies the selection mechanism of travel strategies of pedestrians and electric bicycles when the two parties conflict in bus station areas. A time delay model of pedestrians and electric bicycles is established to analyze the time profit of two types of travelers choosing whether "passing" or "crossing" strategies. The replication dynamic equation is used to describe the game learning behavior of the two types of travellers' general strategy, and to establish the conflict evolution game model between the two types of travellers in this area. The stability analysis is used to obtain a stable behavior selection strategy of conflicts between two types of travelers in the region. The evolutionary game model is empirically analyzed by the measured data of six bus stop areas in Guilin. The results show that the proportion of pedestrians choosing to "passing" increases when the sense of security increases. When conflicts occur, electric bicycle riders make decisions faster than pedestrians. The decision-making time for both parties to choose "passing" or "crossing" is shorter than "waiting" or"deceleration". The average decision-making time of electric bicycles reduces by about 23%, and that of pedestrians reduces by about 24%.

     

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