CellTrans: Private Car or Public Transportation? Infer Users' Main Transportation Modes at Urban Scale with Cellular Data

Y Zhao, X Wang, J Li, D Zhang, Z Yang - Proceedings of the ACM on …, 2019 - dl.acm.org
Understanding citizens' main transportation modes at urban scale is beneficial to a range of
applications, such as urban planning, user profiling, transportation management, and …

Inferring fine-grained transport modes from mobile phone cellular signaling data

K Chin, H Huang, C Horn, I Kasanicky… - … , Environment and Urban …, 2019 - Elsevier
Due to the ubiquity of mobile phones, mobile phone network data (eg, Call Detail Records,
CDR; and cellular signaling data, CSD), which are collected by mobile telecommunication …

Inferring user multimodal trajectories from cellular network metadata in metropolitan areas

F Asgari - 2016 - theses.hal.science
Around half of the world population is living in cities where different transportation networks
are cooperating together to provide some efficient transportation facilities for individuals. To …

Digital breadcrumbs: Detecting urban mobility patterns and transport mode choices from cellphone networks

T Holleczek, L Yu, JK Lee, O Senn, K Kloeckl… - arXiv preprint arXiv …, 2013 - arxiv.org
Many modern and growing cities are facing declines in public transport usage, with few
efficient methods to explain why. In this article, we show that urban mobility patterns and …

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 …

Transport mode detection based on mobile phone network data: A systematic review

H Huang, Y Cheng, R Weibel - Transportation Research Part C: Emerging …, 2019 - Elsevier
The rapid development in telecommunication networks is producing a huge amount of
information regarding how people (with their mobile devices) move and behave over space …

[HTML][HTML] Inferring modes of transportation using mobile phone data

E Graells-Garrido, D Caro… - EPJ Data …, 2018 - epjdatascience.springeropen.com
Cities are growing at a fast rate, and transportation networks need to adapt accordingly. To
design, plan, and manage transportation networks, domain experts need data that reflect …

Public transportation mode detection from cellular data

G Li, CJ Chen, SY Huang, AJ Chou, X Gou… - Proceedings of the …, 2017 - dl.acm.org
Public transportation is essential in people's daily life and it is crucial to understand how
people move around the city. Some prior works have exploited GPS, Wi-Fi or bluetooth to …

Ubiquitous Transportation Mode Estimation using Limited Cell Tower Information

S Mostafa, KA Harras, M Youssef - 2023 IEEE 97th Vehicular …, 2023 - ieeexplore.ieee.org
The need for a ubiquitous and accurate transportation mode estimation system has recently
risen. Unfortunately, GPS-based and inertial sensor-based solutions lack this needed …

Who you are is how you travel: A framework for transportation mode detection using individual and environmental characteristics

T Bantis, J Haworth - Transportation Research Part C: Emerging …, 2017 - Elsevier
With the increasing prevalence of geo-enabled mobile phone applications, researchers can
collect mobility data at a relatively high spatial and temporal resolution. Such data, however …