Review of transportation mode detection approaches based on smartphone data

M Nikolic, M Bierlaire - 17th Swiss Transport Research …, 2017 - infoscience.epfl.ch
The usage of smartphones has rapidly increased during the last years. In addition to
communication capabilities, they are also equipped with several sensors, and are usually …

Inferring transportation modes from GPS trajectories using a convolutional neural network

S Dabiri, K Heaslip - Transportation research part C: emerging …, 2018 - Elsevier
Identifying the distribution of users' transportation modes is an essential part of travel
demand analysis and transportation planning. With the advent of ubiquitous GPS-enabled …

Transportation mode detection from low-power smartphone sensors using tree-based ensembles

A Efthymiou, EN Barmpounakis, D Efthymiou… - Journal of Big Data …, 2019 - Springer
Recently, a considerable amount of research has focused on understanding transportation
mobility patterns from crowdsourced smartphone data. To this end, transportation mode …

A deep learning model for transportation mode detection based on smartphone sensing data

X Liang, Y Zhang, G Wang, S Xu - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Understanding people's transportation modes is beneficial for empowering many intelligent
transportation systems, such as supporting urban transportation planning. Yet, current …

[PDF][PDF] Automated transportation mode detection using smart phone applications via machine learning: Case study mega city of Tehran

ZA Lari, A Golroo - … of the Transportation Research Board 94th …, 2015 - researchgate.net
ABSTRACT 1 Through the past few decades, travel behaviors have become more
complicated especially in 2 mega cities such as Tehran, the capital of Iran. Decision makers …

A novel segment-based approach for improving classification performance of transport mode detection

MA Guvensan, B Dusun, B Can, HI Turkmen - Sensors, 2017 - mdpi.com
Transportation planning and solutions have an enormous impact on city life. To minimize the
transport duration, urban planners should understand and elaborate the mobility of a city …

Detecting home and work locations from mobile phone cellular signaling data

Y Yang, C Xiong, J Zhuo, M Cai - Mobile Information Systems, 2021 - Wiley Online Library
Obtaining the distribution of home and work locations is essential for city planning, as it
defines the structure and mobility pattern of a city. With the development of …

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

S Dabiri, CT Lu, K Heaslip… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Identification of travelers' transportation modes is a fundamental step for various problems
that arise in the domain of transportation such as travel demand analysis, transport planning …

Detecting urban transport modes using a hybrid knowledge driven framework from GPS trajectory

RD Das, S Winter - ISPRS International Journal of Geo-Information, 2016 - mdpi.com
Transport mode information is essential for understanding people's movement behavior and
travel demand estimation. Current approaches extract travel information once the travel is …

Detecting transportation modes using deep neural network

H Wang, GJ Liu, J Duan, L Zhang - IEICE TRANSACTIONS on …, 2017 - search.ieice.org
Existing studies on transportation mode detection from global positioning system (GPS)
trajectories mainly adopt handcrafted features. These features require researchers with a …