People | Locations | Statistics |
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Ziakopoulos, Apostolos | Athens |
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Vigliani, Alessandro | Turin |
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Catani, Jacopo | Rome |
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Statheros, Thomas | Stevenage |
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Utriainen, Roni | Tampere |
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Guglieri, Giorgio | Turin |
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Martínez Sánchez, Joaquín |
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Tobolar, Jakub |
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Volodarets, M. |
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Piwowar, Piotr |
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Tennoy, Aud | Oslo |
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Matos, Ana Rita |
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Cicevic, Svetlana |
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Sommer, Carsten | Kassel |
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Liu, Meiqi |
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Pirdavani, Ali | Hasselt |
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Niklaß, Malte |
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Lima, Pedro | Braga |
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Turunen, Anu W. |
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Antunes, Carlos Henggeler |
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Krasnov, Oleg A. |
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Lopes, Joao P. |
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Turan, Osman |
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Lučanin, Vojkan | Belgrade |
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Tanaskovic, Jovan |
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Gillis, Dominique
in Cooperation with on an Cooperation-Score of 37%
Topics
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Publications (14/14 displayed)
- 2022AURORA – Creating space for Urban Air Mobility in our cities
- 2021Urban air mobility : a state of art analysiscitations
- 2021Urban Air Mobility: A State of Art Analysis
- 2020Measuring Delays for Bicycles at Signalized Intersections Using Smartphone GPS Tracking Datacitations
- 2016Travelled Distance Estimation for GPS-Based Round Trips Car-Sharing Use Casecitations
- 2016Travelled distance estimation for GPS-based round trips : car-sharing use case
- 2015The Use of Smartphone Applications in the Collection of Travel Behaviour Datacitations
- 2015Cohousing and EV Sharing: Field Tests in Flanderscitations
- 2015Cohousing and EV sharing: field-tests in Flanderscitations
- 2014Homogenization of speed on secondary and local roads in the Flanders Region: an exploratory study making use of a traffic signs database
- 2014Monitoring travel behaviour: tools for E-mobility NSR
- 2012Modelling the impact of traffic on quality of life: scenario evaluation for the city of Ghent
- 2010Towards new principles of road categorization: reflections based on practices in Belgium and Eastern Europe
- 2009Functional road categorization and traffic modelling as tools for infrastructure planning and design: some reflections on actual practice in Belgium and Eastern Europe
Places of action
article
Travelled Distance Estimation for GPS-Based Round Trips Car-Sharing Use Case
Abstract
Traditional travel survey methods have been widely used for collecting information about urban mobility although Global Position System (GPS) has become an automatic option for collecting more precise data of the households since mid-1990s. Many studies on mobility patterns have focused on the GPS advantages leaving aside its issues such as the quality of the data collected. However, when it comes to extract the frequency of the trips and travelled distance, this technology faces some gaps due to the related issues such as signal reception and time-to-first-fix location that turns out in missing observations and respectively unrecognised or over-segmented trips. In this study, we focus on two aspects of GPS data for a car-mode, (i) measurement of the gaps in the travelled distance and (ii) estimation of the travelled distance and the factors that influence the GPS gaps. To asses that, GPS tracks are compared to a ground truth source. Additionally, the trips are analysed based on the land use (e.g. urban and rural areas) and length (e.g. short, medium and long trips). Results from 170 participants and more than a year of GPS-tracking show that around 9 % of the travelled distance is not captured by GPS and it affects more short trips than long ones. Moreover, we validate the importance of the time spent on the user activity and the land use as factors that influence the gaps in GPS.
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