Digitisation in Transport System and Mobility Services
Project title: SPOT, Smartphone-based travel data collection
Implementing sustainable transport solutions, reducing transport emissions and energy consumption and achieving a modal shift away from the conventional private car are main goals for many major metropolitan areas in the world. In order to achieve these goals it is very crucial to understand the individual travel decision-making behaviours and implement the right urban and transport intervention policy measures. The success of a transportation policy itself depends on an accurate description and prediction of aggregate flows as well as the disaggregate travel behaviour of individuals.
This project aims to refine, test and deploy a prototype of a smartphone application that has been jointly developed by the KTH Transport Science & Urban Planning Departments. The results of the tests will be compared with data collected with traditional paper-and-pencil survey method.
This project involves KTH, Sweco and Linköping University and funded by Trafikverket (the Swedish Transport Administration).
The team consists: Jenny Widell, Andreas Allström, Ida Kristoffersson (Sweco), Yusak Susilo, Gyözö Gidovalvi, Adrian Corneliu Prelipcean (KTH), and Clas Rydergren (Linkoping University).
The source code of the app can be found at : https://github.com/Badger-MEILI/MEILI-Travel-Diary.
Published articles and reports:
Mobility collector and its capabilities
Comparative framework for activity-travel diary collection systems
Measures of transport mode segmentation of trajectories
Experiences from smartphone based travel data collection – system development and evaluation
The Promises of Big Data and Small Data for Travel Behavior (aka Human Mobility) Analysis
Transportation mode detection – an in-depth review of applicability and reliability
Workshop on BIg Data in Transport (KTH, 16 October 2017) the slides from the workshop can be seen at: https://kth.box.com/s/58mg6fcrsp1zvnbgnakksmg6koq7qt75
Collecting travel diaries: Current state of the art, best practices, and future research directions
MEILI: A travel diary collection, annotation and automation system
Exploring day-to-day individual activity-travel behaviours based on a smartphone app’s travel diary
Relevant doctoral thesis: MEILI: Multiple Day Travel Behaviour Data Collection, Automation and Analysis
Project title: User attitudes towards a corporate Mobility as a Service (as a part of ITRL and Scania project)
This ITRL project iintended to develop, demonstrate and evaluate a multimodal mobility service for passengers to, from and within Scania in Södertälje, Sweden, which is supported by DriveSweden
Sustainable Mobility Services Södertälje
source: Integrated Transport Research Lab
Project title: Predictive Movement
Project title: Utilizing digital technologies to create a safer and more accessible transport and urban system for an active and healthier ageing society
Using IoT technologies to understand travellers suffering from dementia:
Potentials and Challenges
Master thesis: Crowdsourced traffic information in traffic management
Crowdsourced traffic information in traffic management
