Simulation and Evaluation of Scalable Demand Transportation using Wireless Network

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The objective of this research is to improve the efficiency of demand-based transportation by using collected information of vehicle and customers via the wireless network. At the beginning, we tried to find a correlation between customer demand and other factors (i.e., time zone, a day of the week, and so on) from taxi probe data in 23 wards of Tokyo. We believe that this result will contribute to improve the assignment of vehicles in the city. Moreover, in order to analyze the collected information via network in real-time, we adopted "Hadoop Map Reduce" which is one of the distributed processing software. We realized the online visualization system for vehicle distribution and vehicle flow by using its technology.