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
Over the past couple of decades, global positioning system (GPS) technology has been
utilized to collect large-scale data from travel surveys. As the precise spatiotemporal …

Transportation mode recognition using GPS and accelerometer data

T Feng, HJP Timmermans - Transportation Research Part C: Emerging …, 2013 - Elsevier
Potential advantages of global positioning systems (GPS) in collecting travel behavior data
have been discussed in several publications and evidenced in many recent studies. Most …

Travel mode detection based on GPS track data and Bayesian networks

G Xiao, Z Juan, C Zhang - Computers, environment and urban systems, 2015 - Elsevier
Over the past couple of decades, there has been an exponential increase in the collection of
large-scale GPS data from household/personal travel surveys all over the world. A range of …

Travel mode detection using GPS data and socioeconomic attributes based on a random forest classifier

B Wang, L Gao, Z Juan - IEEE Transactions on Intelligent …, 2017 - ieeexplore.ieee.org
The past few years have witnessed the rapid growth in the collection of large-scale GPS
data via smartphone-based travel surveys around the world, following which transportation …

Detecting travel modes using rule-based classification system and Gaussian process classifier

G Xiao, Q Cheng, C Zhang - IEEE Access, 2019 - ieeexplore.ieee.org
Travel modes are generally derived from Global Positioning System (GPS) data on the basis
of either a rule-based or machine learning classification method. The rule-based …

Convolutional LSTM based transportation mode learning from raw GPS trajectories

A Nawaz, H Zhiqiu, W Senzhang… - IET Intelligent …, 2020 - Wiley Online Library
With the advancement of location acquisition technologies, a large amount of raw global
positioning system (GPS) trajectory data is produced by many moving devices. Learning …

Week-long activity-based modelling: a review of the existing models and datasets and a comprehensive conceptual framework

M Haghighi, EJ Miller - Transport Reviews, 2025 - Taylor & Francis
Activity-based travel demand models emerged mainly to fix the conceptual, statistical, and
operational deficiencies of conventional trip-based models. This is done by microstimulating …

Comparison of advanced imputation algorithms for detection of transportation mode and activity episode using GPS data

T Feng, HJP Timmermans - Transportation Planning and …, 2016 - Taylor & Francis
ABSTRACT Global Positioning System (GPS) technologies have been increasingly
considered as an alternative to traditional travel survey methods to collect activity-travel …

A holistic data-driven framework for developing a complete profile of bus passengers

S Chen, X Liu, C Lyu, L Vlacic, T Tang, Z Liu - Transportation Research Part …, 2023 - Elsevier
User profiles, considered as one of the fundamental inputs of recommendation systems and
customized services, can be rationally applied in the public transport domain to represent …

Developing and validating a statistical model for travel mode identification on smartphones

B Assemi, H Safi, M Mesbah… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
Smartphone travel surveys are able to capture accurate details about individuals' travel
behavior. However, extracting the required information (eg, travel mode and purpose) from …