Proceedings of the 3rd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2019)

Recognition Method of Urban Residents' Travel Mode based on GPS Data

Authors
Huabin Liu, Chunfu Shao
Corresponding Author
Huabin Liu
Available Online April 2019.
DOI
https://doi.org/10.2991/icmeit-19.2019.18How to use a DOI?
Keywords
GPS; travel mode; mode recognition; trip recognition.
Abstract
The rising of big data and the Internet has brought about tremendous changes in travel. The rapid development of computer technology, network technology, wireless communication technology, portable devices, and location-based services provides an opportunity for the application of GPS technology to travel behavior survey. GPS technology has become a new technology to study urban residents' travel behavior and to identify urban residents' travel modes. This paper delivery a travel mode recognition method for urban residents' GPS travel data. Through the process of GPS data preprocessing, trajectory recognition and feature extraction, the recognition algorithm is designed to identify seven urban common travel modes, which are walking, bicycle, car, bus, taxi, subway and urban rail. In this paper, a trajectory recognition algorithm based on transition points is used to segment the trajectory of a single travel mode by identifying the transition points and pedestrian sections. The accuracy of the trajectory recognition process is about 79.8% by validating the open data set. For the extracted single trajectory, the Bagged Trees combined model is used to identify the travel mode with an accuracy of about 76.2%.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
3rd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2019)
Part of series
Advances in Computer Science Research
Publication Date
April 2019
ISBN
978-94-6252-708-9
ISSN
2352-538X
DOI
https://doi.org/10.2991/icmeit-19.2019.18How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Huabin Liu
AU  - Chunfu Shao
PY  - 2019/04
DA  - 2019/04
TI  - Recognition Method of Urban Residents' Travel Mode based on GPS Data
BT  - 3rd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2019)
PB  - Atlantis Press
SP  - 101
EP  - 105
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmeit-19.2019.18
DO  - https://doi.org/10.2991/icmeit-19.2019.18
ID  - Liu2019/04
ER  -