Liu, Hongbin, and Lee, Ickjai (2017) End-to-end trajectory transportation mode classification using Bi-LSTM recurrent neural network. In: Proceedings of the 12th International Conference on Intelligent Systems and Knowledge Engineering. 158. From: ISKE 2017: 12th International Conference on Intelligent Systems and Knowledge Engineering, 24-26 November 2017, Nanjing, China.

PDF (Published Version) - Published Version Restricted to Repository staff only

Abstract

Transportation mode classification is a key task in trajectory data mining. It adds human behaviour semantics to raw trajectories for trip recommendation, traffic management and transport planning. Previous approaches require heavy pre-processing and feature extraction processes in order to build a classifier, which is complicated and time-consuming. Recurrent neural network has demonstrated its capacity in sequence modelling tasks ranging from machine translation, speech recognition to image captioning. In this paper, we pro­pose a trajectory transportation mode classification framework that is based on an end-to-end bidirectional LSTM classifier. The proposed classification process does not require any feature extraction process, but automatically learns features from trajectories, and use them for classification. We further improve this framework by feeding the time interval as an external feature by embedding. Our experiments on real GPS datasets demonstrate that our approach outperforms existing methods with regard to AUC.

Item ID:	52222
Item Type:	Conference Item (Research - E1)
ISBN:	978-1-5386-1829-5
Related URLs:	https://researchonline.jcu.edu.au/69130/
Additional Information:	A version of this publication was included as Chapter 4 of the following PhD thesis: Liu, Hong-Bin (2020) Predictive spatio-temporal modelling with neural networks. PhD thesis, James Cook University, which is available Open Access in ResearchOnline@JCU. Please see the Related URLs for access.
Date Deposited:	22 Mar 2018 00:50
FoR Codes:	46 INFORMATION AND COMPUTING SCIENCES > 4611 Machine learning > 461103 Deep learning @ 100%
SEO Codes:	89 INFORMATION AND COMMUNICATION SERVICES > 8902 Computer Software and Services > 890201 Application Software Packages (excl. Computer Games) @ 100%
Downloads:	Total: 5
	More Statistics