A new site location approach based on Filtering and Clustering for car sharing system

摘要

Car sharing service provides people with a new environmentally friendly way to travel. In car sharing system, one of the major challenges is how to determine the location of the car sharing sites. However, the existing method does not take into account people's demand in reality to select the car sharing sites position. In this paper, we focus on selecting the car sharing sites location by using real taxi GPS trajectories and propose a new method based on filtering and clustering for the location problem. Large-scale real-world experiments shows that the method we proposed in selecting car sharing sites has a better performance than other approaches.