[HTML][HTML] Assessing the role of geographic context in transportation mode detection from GPS data

A Roy, D Fuller, T Nelson, P Kedron - Journal of transport geography, 2022 - Elsevier
… from raw GPS mobility data (speed, altitude, turning angle and net displacement) and
integrated context in the form of geographic … Our study develops methods which are open and …

Semi-supervised deep learning approach for transportation mode identification using GPS trajectory data

S Dabiri, CT Lu, K Heaslip… - … on Knowledge and Data …, 2019 - ieeexplore.ieee.org
… Points Several motion features can be computed for every GPS point based on their
geographic coordinates and timestamps. The relative distance between two consecutive …

Transportation mode identification with GPS trajectory data and GIS information

J Li, X Pei, X Wang, D Yao, Y Zhang… - Tsinghua Science and …, 2021 - ieeexplore.ieee.org
… on multiple amounts of sensors, and difficulty in matching transportation mode data to geographic
locations occurs when … In this study, we propose a novel method to infer transportation

Inferring transportation modes from GPS trajectories using a convolutional neural network

S Dabiri, K Heaslip - Transportation research part C: emerging …, 2018 - Elsevier
… key challenge in this study is to structure raw GPS tracks into a … the geographical distance
between two succeeding GPS points … of epochs for training the best identified CNN net, which …

Transportation mode recognition with deep forest based on GPS data

M Guo, S Liang, L Zhao, P Wang - IEEE Access, 2020 - ieeexplore.ieee.org
… , they rely on extra sensors and Geographic Information System (GIS) information, which are
not … transportation mode change points. In this paper, we proposed an ensemble learning-…

Travel mode identification with GPS trajectories using wavelet transform and deep learning

JQ James - IEEE Transactions on Intelligent Transportation …, 2020 - ieeexplore.ieee.org
… As this research aims to identify travel mode with only GPS trajectories using wavelet
transform and deep learning … for geographic applications on the Web,” in Proc. Int. Conf. …

Data selection in machine learning for identifying trip purposes and travel modes from longitudinal GPS data collection lasting for seasons

L Gong, R Kanamori, T Yamamoto - Travel Behaviour and Society, 2018 - Elsevier
… or travel mode in this paper), then in a given training set [X = x 1 , …, x n ] with responses [Y
= y 1 , …, y n ] repeatedly bagging samples in random with a replacement of the training set …

Travel mode detection based on GPS raw data collected by smartphones: a systematic review of the existing methodologies

L Wu, B Yang, P Jing - Information, 2016 - mdpi.com
… The focus of this study is to assess existing methodologies of detecting travel … for Geographic
Applications on the Web. In Proceedings of the International Conference on World Wide …

Learning transportation annotated mobility profiles from GPS data for context-aware mobile services

X Zhu, J Li, Z Liu, S Wang… - 2016 IEEE International …, 2016 - ieeexplore.ieee.org
… In this paper, we aim to infer transportation modes including walNing, cycling, driving, …
Learning transportation mode from raw gps data for geographic applications on the web. in …

Identifying transportation modes from raw GPS data

Q Zhu, M Zhu, M Li, M Fu, Z Huang, Q Gan… - … Conference of Young …, 2016 - Springer
… Firstly, without geographic information, we design a trajectory segmentation algorithm which
Learning transportation mode from raw GPS data for geographic applications on the web. In…