Dynamic location management for on-demand car sharing system
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part I
Probabilistic Estimation of Travel Behaviors Using Zone Characteristics
KES '09 Proceedings of the 13th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems: Part II
Modeling and estimation of travel behaviors using bayesian network
Intelligent Decision Technologies - Special issue on design of intelligent environment
PETRI NETS'13 Proceedings of the 34th international conference on Application and Theory of Petri Nets and Concurrency
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Recent advances in information technology enable realization of new on-demand transportation systems. A car sharing system is one of the new on-demand transportation systems and its concept is that people share vehicles to save maintenance cost. A car sharing system is expected as a solution for traffic jams and lack of parkings. There are two types of car sharing systems: the one-way type and the round-trip type. In this paper, we focus on the one-way type. In the one-way type, users can return vehicles to any stations at any time. Thus, it is hard to keep distribution balance of parked vehicles among stations. We propose a method for optimizing vehicle assignment according to distribution balance of parked vehicles. Finally, we report experimental results of our simulation, and evaluate the effect of our method.