Determining Bus Stop Locations using Deep Learning and Time Filtering

Authors

  • Jitpinun Piriyataravet King Mongkut’s University of Technology Thonburi
  • Wuttipong Kumwilaisak King Mongkut’s University of Technology Thonburi
  • Jatuporn Chinrungrueng National Science and Technology Development Agency, Thailand
  • Teerawat Piriyatharawet Nanyang Technological University

DOI:

https://doi.org/10.4186/ej.2021.25.8.163

Keywords:

bidirectional LSTM, bus stop determination, convolutional neural network, deep learning, global positioning system

Abstract

This paper presents an intelligent bus stop determination from bus Global Positioning System (GPS) trajectories. A mixture of deep neural networks and a time filtering algorithm is used in the proposed algorithm. A deep neural network uses the speed histogram and azimuth angle at each location as input features. A deep neural networks consists of the convolutional neural networks (CNN), fully connected networks, and bidirectional Long-Short Term Memory (LSTM) networks. It predicts the soft decisions of bus stops at all locations along the route. The time filtering technique was adopted to refine the results obtained from the LSTM network. The time histograms of all locations was built where the high potential timestamps are extracted. Then, a linear regression is used to produce an approximate reliable timestamp. Each time distribution can be derived using data updated at that time slot and compared to a reference distribution. Locations are predicted as bus stop locations when timestamp distributions close to the reference distributions. Our technique was tested on real bus service GPS data from National Science and Technology Development Agency (NATDA, Thailand). The proposed method can outperform other existing bus stop detection systems.

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Author Biographies

Jitpinun Piriyataravet

Department of Electronics and Telecommunication Engineering, King Mongkut’s University of Technology
Thonburi, Bangkok, Thailand

Wuttipong Kumwilaisak

Department of Electronics and Telecommunication Engineering, King Mongkut’s University of Technology
Thonburi, Bangkok, Thailand

Jatuporn Chinrungrueng

Health Innovation and Information Research Team, Assistive Technology and Medical Devices Research
Center, National Science and Technology Development Agency, Pathum Thani, Thailand

Teerawat Piriyatharawet

School of Computer Science and Engineering, Nanyang Technological University, Singapore

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Published In
Vol 25 No 8, Aug 31, 2021
How to Cite
[1]
J. Piriyataravet, W. Kumwilaisak, J. Chinrungrueng, and T. Piriyatharawet, “Determining Bus Stop Locations using Deep Learning and Time Filtering”, Eng. J., vol. 25, no. 8, pp. 163-172, Aug. 2021.

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