PTGF: Public transport general framework for identifying transport modes based on cellular data

Xiaochuan Gou, Chih Chieh Hung, Guanyao Li, Wen-Chih Peng

研究成果: Conference contribution同行評審

摘要

Public transportation is beating heart of a city. Understanding how citizens utilize public transportation can be used to optimize many applications such as traffic planning, crowd flow prediction, and location-based marketing. However, obtaining how citizens used transportation is not a trivial task. It is almost not possible to ask citizens to report their exact location and their transportation mode; moreover, there are usually various public transportation that move along the similar paths. These increase challenges to identify people's transport modes. To address these issues, this paper proposes Public Transport General Framework (PTGF) to identify people's transport modes by their cellular data in both offline and online manners. Regarding the offline phase, given historical cellular data of people and urban transportation networks, PTGF derives cellular data into trajectories, to match each trajectory to public transportation networks to find the most possible transport modes for sub-Trajectories of a trajectory. In the online phase, given streaming trajectories, PTGF identifies the transport modes of each location by an LSTM which are trained by historical trajectories with transport modes annotated in the offline phase. Extensive experiments are conducted by using both synthetic and real datasets. The experimental results show that the accuracy of PTGF in offline phase around 80% and that in online phase F1-score around 0.7, which could prove that the effectiveness of the proposed framework PTGF.

原文English
主出版物標題Proceedings - 2019 20th International Conference on Mobile Data Management, MDM 2019
發行者Institute of Electrical and Electronics Engineers Inc.
頁面563-568
頁數6
ISBN(電子)9781728133638
DOIs
出版狀態Published - 1 六月 2019
事件20th International Conference on Mobile Data Management, MDM 2019 - Hong Kong, Hong Kong
持續時間: 10 六月 201913 六月 2019

出版系列

名字Proceedings - IEEE International Conference on Mobile Data Management
2019-June
ISSN(列印)1551-6245

Conference

Conference20th International Conference on Mobile Data Management, MDM 2019
國家Hong Kong
城市Hong Kong
期間10/06/1913/06/19

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