Study on the mining based on the improved DBSCAN algorithm in pick-up hotspots areas

DOI

10.2991/iwmecs-15.2015.134How to use a DOI?

Keywords

pick-up hotspots, route recommendation, DBSCAN algorithm, clustering.

Abstract

The main business model of taxies called "Roadside Beckon" adopted widely is inefficient. Passengers and drivers are ignorant of the location information of each other. The rise of various types of taxi Apps also have made an effort to solve the problem of "difficult to take a taxi". However, these methods have not fundamentally gotten rid of the taxi status of "passive waiting for passengers". Therefore, this paper proposes a taxi cruise path recommendation method based on pick-up hotspots areas. The method can recommend a cruise path with short distance and high pick-up rate for taxis. As a result, it solves the problem of "passive waiting" and aimless random roaming for guests, balance the relationship between taxis and passengers.

Copyright

© 2015, 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  - Zhipu Tang
AU  - Xiaodong Wang
AU  - Hao Liu
AU  - Xiaowen Wang
AU  - Zhiqiang Wei
PY  - 2015/10
DA  - 2015/10
TI  - Study on the mining based on the improved DBSCAN algorithm in pick-up hotspots areas
BT  - Proceedings of the 2015 2nd International Workshop on Materials Engineering and Computer Sciences
PB  - Atlantis Press
SP  - 670
EP  - 673
SN  - 2352-538X
UR  - https://doi.org/10.2991/iwmecs-15.2015.134
DO  - 10.2991/iwmecs-15.2015.134
ID  - Tang2015/10
ER  -