On The Relationship Between Accuracy Of Bus Position Estimated By Crowdsourcing And Participation Density

The authors proposed a methodology of bus location service by crowdsource. In the conventional bus location service, a GPS receiver or the like for positioning the bus vehicle and a communication line for transmitting the position information are necessary for each bus and it causes expensive cost, whereas in this methodology, the BLE beacon and the application of the service installed in users' smartphone transmits the beacon signal and the position information of the smartphone using the communication line of users' smartphone so as to reduce the cost of bus operators.In order to grasp the position of each bus at any time on the server, one of the following is required: (1) At least one service user always exists for each bus, and (2) It is possible to estimate the position with high accuracy where there is no service user in a section.If contributing to the realization of smart city by grasping the situation in the town by crowdsourcing, it is extremely important to clarify the precision with respect to density that may be given as a relation between the number of users who participate in the program for grasping this situation and the size of the town.In this paper, the authors examine and show the relationship between the density of data collection and the accuracy of interpolation for the section where data is missing, using the position information actually obtained using the proposed application.