Applying mobile phone data to travel behaviour research: A literature review
Travel behaviour has been studied for decades to guide transportation development and
management, with the support of traditional data collected by travel surveys. Recently, with …
management, with the support of traditional data collected by travel surveys. Recently, with …
Review of GPS travel survey and GPS data-processing methods
Global positioning system (GPS) devices have been utilised in travel surveys since the late
1990s. Because GPS devices are very accurate at recording time and positional …
1990s. Because GPS devices are very accurate at recording time and positional …
Applying machine learning techniques to transportation mode recognition using mobile phone sensor data
This paper adopts different supervised learning methods from the field of machine learning
to develop multiclass classifiers that identify the transportation mode, including driving a car …
to develop multiclass classifiers that identify the transportation mode, including driving a car …
Enabling reproducible research in sensor-based transportation mode recognition with the Sussex-Huawei dataset
Transportation and locomotion mode recognition from multimodal smartphone sensors is
useful for providing just-in-time context-aware assistance. However, the field is currently …
useful for providing just-in-time context-aware assistance. However, the field is currently …
Identifying different transportation modes from trajectory data using tree-based ensemble classifiers
Z **ao, Y Wang, K Fu, F Wu - ISPRS International Journal of Geo …, 2017 - mdpi.com
Recognition of transportation modes can be used in different applications including human
behavior research, transport management and traffic control. Previous work on …
behavior research, transport management and traffic control. Previous work on …
Semi-supervised federated learning for travel mode identification from GPS trajectories
GPS trajectories serve as a significant data source for travel mode identification along with
the development of various GPS-enabled smart devices. However, such data directly …
the development of various GPS-enabled smart devices. However, such data directly …
Travel mode detection based on GPS track data and Bayesian networks
G **ao, 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 …
large-scale GPS data from household/personal travel surveys all over the world. A range of …
The journey experience of visually impaired people on public transport in London
The use of public transport is critical for Visually Impaired People (VIP) to be independent
and have access to out-of-home activities. Despite government policies promoting …
and have access to out-of-home activities. Despite government policies promoting …
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 …
data via smartphone-based travel surveys around the world, following which transportation …
Transportation mode-based segmentation and classification of movement trajectories
The knowledge of the transportation mode used by humans (eg bicycle, on foot, car and
train) is critical for travel behaviour research, transport planning and traffic management …
train) is critical for travel behaviour research, transport planning and traffic management …