Proposal of user-collaborative mobile object assignment system

Recently, mobile object sharing systems including car-sharing systems have been gathering more attention as an ecological activity. In this paper, we propose a user-collaborative mobile object assignment system using location information of users. The optimal mobile object assignment is to minimize travel distances of mobile objects in the existing mobile object assignment system, and the system controls allocation of mobile objects. The system recommends the two users to hand over the mobile object to each other if it is the optimal way for users, for example, one user gets off the car and another user rides on the same car continuously. Our proposed system uses the location information of both current and next users to find the optimal way for both users, and informs them the information. Then, the system can trigger the independent collaboration of users by leaving a final decision up to them. Firstly our system calculates optimal mobile object assignment for both current and next users. Secondly, if it is efficient for both current and next users to change the destination of the current user, the system recommends the current user to change the current destination to the calculated one. Thereafter, the system gets an extra fee from the next user, and gives a part of that to the current user as incentive for change of destination when it is needed. Our system can achieve a more friendly system for both user and environment than the current system and solve the distribution problem of mobile objects. Also, we did multi-agent simulations with basic scenarios including a part of proposed method, and got results showing that the system was effective at increasing the number of people who were collaborate with each other.