Deriving personal trip data from GPS data: A literature review on the existing methodologies
GPS technology was used in person trip (PT) survey since mid-1990, and this technology
achieved its popularity because of the improvement of accuracy and portability of GPS …
achieved its popularity because of the improvement of accuracy and portability of GPS …
[HTML][HTML] Review and evaluation of methods in transport mode detection based on GPS tracking data
Mobility data, based on global positioning system (GPS) tracking, have been widely used in
many areas, such as analyzing travel patterns, investigating transport safety and efficiency …
many areas, such as analyzing travel patterns, investigating transport safety and efficiency …
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 …
Detecting trip purposes from smartphone-based travel surveys with artificial neural networks and particle swarm optimization
G **ao, Z Juan, C Zhang - Transportation Research Part C: Emerging …, 2016 - Elsevier
Travel surveys based on global positioning system (GPS) data have exponentially increased
over the past decades. Trip characteristics, including trip ends, travel modes, and trip …
over the past decades. Trip characteristics, including trip ends, travel modes, and trip …
Detecting travel modes using rule-based classification system and Gaussian process classifier
G **ao, 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 …
of either a rule-based or machine learning classification method. The rule-based …
Automating mode detection for travel behaviour analysis by using global positioning systems-enabled mobile phones and neural networks
PA Gonzalez, JS Weinstein, SJ Barbeau… - IET Intelligent Transport …, 2010 - IET
Travel surveys collect trip data such as origin, destination, mode, duration, distance and
purpose of trips, as well as socioeconomic and demographic data for analysis …
purpose of trips, as well as socioeconomic and demographic data for analysis …
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 …
considered as an alternative to traditional travel survey methods to collect activity-travel …
Automatic change detection in lane-level road networks using GPS trajectories
Lane-level road network updating is crucial for urban traffic applications that use geographic
information systems contributing to, for example, intelligent driving, route planning and traffic …
information systems contributing to, for example, intelligent driving, route planning and traffic …
Vessel destination prediction: A stacking approach
This paper proposes a stacking model for ship destination prediction that incorporates both
a static model of historical information, based on a Bayesian neural network (BNN) and a …
a static model of historical information, based on a Bayesian neural network (BNN) and a …
Detecting urban transport modes using a hybrid knowledge driven framework from GPS trajectory
Transport mode information is essential for understanding people's movement behavior and
travel demand estimation. Current approaches extract travel information once the travel is …
travel demand estimation. Current approaches extract travel information once the travel is …