A new site location approach based on Filtering and Clustering for car sharing system
Yang Yu, Juanjuan Zhang, Jinglin Li
Available Online January 2017.
- https://doi.org/10.2991/icmmita-16.2016.200How to use a DOI?
- Car sharing; Affinity Propagation; Filtering and Clustering.
- 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.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Yang Yu AU - Juanjuan Zhang AU - Jinglin Li PY - 2017/01 DA - 2017/01 TI - A new site location approach based on Filtering and Clustering for car sharing system BT - Proceedings of the 2016 4th International Conference on Machinery, Materials and Information Technology Applications PB - Atlantis Press SN - 2352-538X UR - https://doi.org/10.2991/icmmita-16.2016.200 DO - https://doi.org/10.2991/icmmita-16.2016.200 ID - Yu2017/01 ER -