| Transportation mode detection–an in-depth review of applicability and reliability AC Prelipcean, G Gidófalvi, YO Susilo Transport reviews 37 (4), 442-464, 2017 | 94 | 2017 |
| Collecting travel diaries: Current state of the art, best practices, and future research directions AC Prelipcean, YO Susilo, G Gidófalvi Transportation Research Procedia 32, 155-166, 2018 | 52 | 2018 |
| MEILI: A travel diary collection, annotation and automation system AC Prelipcean, G Gidófalvi, YO Susilo Computers, Environment and Urban Systems 70, 24-34, 2018 | 50 | 2018 |
| Measures of transport mode segmentation of trajectories AC Prelipcean, G Gidofalvi, YO Susilo International Journal of Geographical Information Science 30 (9), 1763-1784, 2016 | 44 | 2016 |
| Mobility collector AC Prelipcean, G Gidófalvi, YO Susilo Journal of Location Based Services 8 (4), 229-255, 2014 | 35 | 2014 |
| Comparative framework for activity-travel diary collection systems AC Prelipcean, G Gidófalvi, YO Susilo 2015 International Conference on Models and Technologies for Intelligent …, 2015 | 34 | 2015 |
| Workshop Synthesis: New developments in travel diary collection systems based on smartphones and GPS receivers AC Prelipcean, T Yamamoto Transportation Research Procedia 32, 119-125, 2018 | 20 | 2018 |
| Experiences from smartphone based travel data collection: system development and evaluation A Allström, G Gidofalvi, I Kristoffersson, AC Prelipcean, C Rydergren, ... SWECO, 2016 | 11 | 2016 |
| Lessons from a trial of meili, a smartphone based semi-automatic activity-travel diary collector, in stockholm city, sweden YO Susilo, AC Prelipcean, G Gidofalvi, A Allström, I Kristoffersson, ... | 11 | 2016 |
| Capturing travel entities to facilitate travel behaviour analysis: A case study on generating travel diaries from trajectories fused with accelerometer readings AC Prelipcean KTH Royal Institute of Technology, 2016 | 8 | 2016 |
| A series of three case studies on the semi-automation of activity travel diary generation using smarpthones AC Prelipcean, YO Susilo, G Gidofalvi Transportation Research Board 2017, 2017 | 7 | 2017 |
| A space time alarm AC Prelipcean, F Schmid, T Shirabe Progress in Location-Based Services 2014, 187-198, 2015 | 6 | 2015 |
| Longest common subsequences: Identifying the stability of individuals’ travel patterns AC Prelipcean, G Gidofalvi, YO Susilo | 4 | 2018 |
| Future directions of research for automatic travel diary collection AC Prelipcean, YO Susilo, G Gidofalvi 11th International conference on Transport Survey Methods, 2018 | 4 | 2018 |
| MEILI: Multiple Day Travel Behaviour Data Collection, Automation and Analysis AC Prelipcean KTH Royal Institute of Technology, 2018 | 3 | 2018 |
| Exploring day-to-day individual activity-travel behaviour based on a smartphone app’s travel diary: final report from the SPOT2 project A Allström, S Baradaran, G Gidofalvi, AC Prelipcean, L Ramstedt, ... | | 2018 |
| Experiences from smartphone based travel data collection: system development and evaluation. Final report from the SPOT project. Version 1.0 A Allström, G Gidofalvi, I Kristoffersson, AC Prelipcean, C Rydergren, ... | | 2016 |
| Implementation and evaluation of Space Time Alarm Clock AC Prelipcean KTH, Royal Institute of Technology, 2014 | | 2014 |
| Extracting and Integrating Meta-data from online sources: A set of examples leading to improved course and instructor selection A Kokkalis, AC Prelipcean http://www.diva-portal.org/smash/get/diva2:728514/FULLTEXT01.pdf, 2014 | | 2014 |
| Mobility Collector: Battery Conscious Mobile Tracking AC Prelipcean, G Gidofalvi Mobile Ghent 2013, Ghent, Belgium, 23-25 October 2013, 2013 | | 2013 |
Gyozo GidofalviAssociate Professor of Geoinformatics, KTH Royal Institute of Technology, SwedenVerified email at kth.se
