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

DOI

10.2991/icmmita-16.2016.200How to use a DOI?

Keywords

Car sharing; Affinity Propagation; Filtering and Clustering.

Abstract

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.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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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  - 10.2991/icmmita-16.2016.200
ID  - Yu2017/01
ER  -