Effect Analysis of Recommended Parking Spots on Bike Sharing System Based on Clustering Algorithm

DOI

10.2991/isss-18.2018.81How to use a DOI?

Keywords

Clustering algorithm, Bike sharing, Effect analyze

Abstract

Bike sharing has received a rapid development in recent China since 2016. However, the side effect from huge amount of sharing bikes poured into traffic networks has caused both side effect on traffic system and the restrictions from the government. In order to reduce the negative impact, recommended parking spots are made. In this paper, we build the time cost model and use clustering algorithm to compare the system performance before and after setting up the recommendation site by abstract model from real fact

Copyright

© 2018, 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  - Shikun He
AU  - Qiong Tian
AU  - Jingtao Zhang
PY  - 2018/05
DA  - 2018/05
TI  - Effect Analysis of Recommended Parking Spots on Bike Sharing System Based on Clustering Algorithm
BT  - Proceedings of the 4th International Symposium on Social Science (ISSS 2018)
PB  - Atlantis Press
SP  - 389
EP  - 393
SN  - 2352-5398
UR  - https://doi.org/10.2991/isss-18.2018.81
DO  - 10.2991/isss-18.2018.81
ID  - He2018/05
ER  -