Use of acceleration data for transportation mode prediction

MA Shafique, E Hato - Transportation, 2015 - Springer
Most smartphones today are equipped with an accelerometer, in addition to other sensors.
Any data recorded by the accelerometer can be successfully utilised to determine the mode …

Travel mode detection with varying smartphone data collection frequencies

MA Shafique, E Hato - Sensors, 2016 - mdpi.com
Smartphones are becoming increasingly popular day-by-day. Modern smartphones are
more than just calling devices. They incorporate a number of high-end sensors that provide …

Behavioural data collection using mobile phones

Y Asakura, E Hato, T Maruyama - Mobile technologies for activity …, 2014 - igi-global.com
This chapter reviews the development of mobile phone-based travel survey instruments and
systems over the last 15 years and discusses the issues and challenges that they will likely …

[HTML][HTML] Link-based measurement model to estimate route choice parameters in urban pedestrian networks

Y Oyama, E Hato - Transportation research part C: emerging technologies, 2018 - Elsevier
Passive monitoring with the Global Positioning System (GPS) is increasingly used to
automatically monitor trip data. However, GPS tracking data includes measurement errors …

The use of smartphone applications in the collection of travel behaviour data

S Vlassenroot, D Gillis, R Bellens… - International Journal of …, 2015 - Springer
The MOVE project deals with the collection and analysis of crowd behaviour data. The main
goals of the project are to collect data through the use of mobile phones and to develop new …

Predicting travel pattern changes of freight trucks in the Tokyo Metropolitan area based on the latest large-scale urban freight survey and route choice modeling

H Oka, Y Hagino, T Kenmochi, R Tani, R Nishi… - … Research Part E …, 2019 - Elsevier
This study aims at predicting travel pattern changes of freight trucks in the Tokyo
Metropolitan Area by taking full advantage of the latest large-scale urban freight survey. We …

Mining activity pattern trajectories and allocating activities in the network

M Allahviranloo, W Recker - Transportation, 2015 - Springer
GPS enabled devices, generating high-resolution spatial–temporal data, are opening new
lines of possibilities for transportation applications in both planning and research. Mining …

[HTML][HTML] How different are daily fluctuations and weekly rhythms in time-use behavior across urban settings? A case in two Japanese cities

H Watanabe, M Chikaraishi, T Maruyama - Travel Behaviour and Society, 2021 - Elsevier
For designing and evaluating the impacts of emerging mobility services, we need activity-
based demand systems considering multi-week activity patterns and their variations. This …

Classification of travel data with multiple sensor information using random forest

MA Shafique, E Hato - Transportation research procedia, 2017 - Elsevier
Recently, a lot of studies have been focused on the use of smartphones for automatic
detection of transportation mode. This task is made easy by the availability of sensors like …

Computational traffic experiments based on artificial transportation systems: An application of ACP approach

F Zhu, D Wen, S Chen - IEEE Transactions on Intelligent …, 2012 - ieeexplore.ieee.org
The Artificial societies, Computational experiments, and Parallel execution (ACP) approach
provides us an opportunity to look into new methods that address transportation problems …