Publications by Matej Cebecauer
Peer reviewed
Articles
[1]
M. A. Khan et al., "Charge-on-the-move solutions for future mobility : A review of current and future prospects," Transportation Research Interdisciplinary Perspectives, vol. 29, 2025.
[2]
A. Skoufas et al., "Ex-post assessment of public transportation on-board crowding induced by new urban developments," Cities, vol. 165, 2025.
[3]
J. Y. Lin, E. Jenelius and M. Cebecauer, "Monitoring public transport crowding exposure : Stockholm before, during, and after the COVID-19 pandemic," Journal of Public Transportation, vol. 27, 2025.
[4]
M. van Ardenne et al., "Personalised passenger information systems in public transport: a review and a 5-level personalisation taxonomy," Transport reviews, pp. 1-32, 2025.
[5]
A. Skoufas et al., "Assessing contributions of passenger groups to public transportation crowding," Journal of Public Transportation, vol. 26, 2024.
[6]
M. Cebecauer et al., "Revealing representative day-types in transport networks using traffic data clustering," Journal of Intelligent Transportation Systems / Taylor & Francis, vol. 8, no. 5, pp. 695-718, 2024.
[7]
L. Kolkowski et al., "Measuring activity-based social segregation using public transport smart card data," Journal of Transport Geography, vol. 110, 2023.
[8]
J. Y. Lin et al., "The equity of public transport crowding exposure," Journal of Transport Geography, vol. 110, 2023.
[9]
M. Cebecauer et al., "Integrating Demand Responsive Services into Public Transport Disruption Management," IEEE Open Journal of Intelligent Transportation Systems, vol. 2, pp. 24-36, 2021.
[10]
Y. Kholodov et al., "Public transport fare elasticities from smartcard data: Evidence from a natural experiment," Transport Policy, vol. 105, pp. 35-43, 2021.
[11]
E. Almlöf et al., "Who continued travelling by public transport during COVID-19? : Socioeconomic factors explaining travel behaviour in Stockholm 2020 based on smart card data," European Transport Research Review, vol. 13, no. 1, 2021.
[12]
E. Jenelius and M. Cebecauer, "Impacts of COVID-19 on public transport ridership in Sweden: Analysis of ticket validations, sales and passenger counts," Transportation Research Interdisciplinary Perspectives, vol. 8, 2020.
[13]
J. H. M. Langbroek et al., "Electric vehicle rental and electric vehicle adoption," Research in Transportation Economics, vol. 73, pp. 72-82, 2019.
[14]
A. Tympakianaki et al., "Impact analysis of transport network disruptions using multimodal data : A case study for tunnel closures in Stockholm," Case Studies on Transport Policy, vol. 6, no. 2, pp. 179-189, 2018.
[15]
M. Cebecauer, E. Jenelius and W. Burghout, "Integrated framework for real-time urban network travel time prediction on sparse probe data," IET Intelligent Transport Systems, vol. 12, no. 1, pp. 66-74, 2018.
[16]
M. Cebecauer and Ľ. Buzna, "Large-scale test data set for location problems," Data in Brief, vol. 17, pp. 267-274, 2018.
[17]
M. Cebecauer and Ľ. Buzna, "A versatile adaptive aggregation framework for spatially large discrete location-allocation problems," Computers & industrial engineering, vol. 111, pp. 364-380, 2017.
[18]
K. Rosina, P. Hurbánek and M. Cebecauer, "Using OpenStreetMap to improve population grids in Europe," Cartography and Geographic Information Science, pp. 1-13, 2016.
Conference papers
[19]
M. A. Khan et al., "Evaluating the Operational and Economic Feasibility of Mobile Charging Pods for Electric Bus Operations," in 2025 9th International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS), 2025.
[20]
A. Skoufas et al., "Ex-Post Assessment of Public Transportation on-Board Crowding Induced by New Urban Developments," in Conference on Advanced Systems in Public Transport (CASPT) and TransitData 2025, Kyoto, Japan, 30 Jun-4 July 2025, 2025.
[21]
A. Skoufas et al., "Assessing school students' contributions to public transport crowding," in Transit Data 2024: 9th International Workshop and Symposium on the Use of Passive Data from Public Transport Systems, London, UK, 1-4 July 2024, 2024.
[22]
J. Y. Lin et al., "Equity of public transport crowding exposure: Stockholm before, during and after the pandemic," in Transit Data 2024: 9th International Workshop and Symposium on the Use of Passive Data from Public Transport Systems, London, UK, 1-4 July 2024, 2024.
[23]
A. Skoufas et al., "Ex-post assessment of public transport on-board crowding induced by new urban development," in Transportation Research Board (TRB) 103rd Annual Meeting, Washington DC, USA, 7-11 January 2024, 2024.
[24]
M. A. Khan et al., "Feasibility study for deployment of mobile autonomous charging pods (MAPs) for charging operations," in MFTS 2024: The 5th Symposium on Management of Future Motorway and Urban Traffic Systems, 4-6 September, 2024, Heraklion, Crete, Greece, 2024.
[25]
A. Skoufas et al., "Understanding the impact of crowding in public transport route choice using longitudinal data: A case study for Stockholm Region," in Transit Data 2024: 9th International Workshop and Symposium on the Use of Passive Data from Public Transport Systems, London, UK, 1-4 July 2024, 2024.
[26]
H. N. Ngo et al., "Considering Multi-Scale Data for Continuous Traffic Prediction Using Adaptive Multi-Agent System," in Proceedings 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC), 2023, pp. 1835-1842.
[27]
A. Skoufas et al., "Generating and Evaluating Route Choice Sets for Large Multimodal Public Transport Networks : A Case Study for Stockholm Region," in 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC), 2023, pp. 2926-2931.
[28]
M. Cebecauer et al., "Spatio-Temporal Public Transport Mode Share Estimation and Analysis Using Mobile Network and Smart Card Data," in 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC), 2023, pp. 2543-2548.
[29]
E. Jenelius et al., "Public transport fare elasticities from smartcard data : A natural experiment in Stockholm," in 9th Symposium of the European Association for Research in Transportation (hEART), Lyon, France, 3-4 February 2021, 2021.
[30]
Y. Kholodov et al., "Transport fare elasticities from smartcard data : A natural experiment in Stockholm," in Transportation Research Board (TRB) 100th Annual Meeting, 2021.
[31]
E. Almlöf et al., "Who is still travelling by public transport during COVID-19? : Socioeconomic factors explaining travel behaviour in Stockholm based on smart card data," in Transportation Research Board (TRB) 100th Annual Meeting, 2021.
[32]
M. Cebecauer et al., "Public transport disruption management by collaboration with demand responsive services," in Transportation Research Board (TRB) 99th Annual Meeting, January 12–16, 2020, Washington, DC, USA, 2020.
[33]
M. Cebecauer et al., "3D Speed Maps and Mean Observations Vectors for Short-Term Urban Traffic Prediction," in TRB Annual Meeting Online, 2019, pp. 1-20.
[34]
O. Cats et al., "Generating network-wide travel diaries using smartcard data," in Transit Data 2019: 5th International Workshop and Symposium, Paris, France, 8-10 July 2019, 2019.
[35]
M. Koháni et al., "Location-scheduling optimization problem to design private charging infrastructure for electric vehicles," in 6th International Conference on Operations Research and Enterprise Systems, ICORES 2017, 2018, pp. 151-169.
[36]
M. Cebecauer, E. Jenelius and W. Burghout, "Spatio-Temporal Partitioning of Large Urban Networks for Travel Time Prediction," in 2018 21ST INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC), 2018, pp. 1390-1395.
[37]
M. Koháni et al., "Designing charging infrastructure for a fleet of electric vehicles operating in large urban areas," in ICORES 2017 - Proceedings of the 6th International Conference on Operations Research and Enterprise Systems, 2017, pp. 360-368.
Non-peer reviewed
Conference papers
[38]
M. A. Khan et al., "Feasibility study for deployment of mobile autonomous charging pods (MAPs) for charging operations," in 13th Annual Swedish Transport Research Conference (STRC 2024), Gothenburg, Sweden, 16-17 October 2024, 2024.
[39]
M. A. Khan et al., "A comprehensive review of viability and operability of dynamic charging solutions for autonomous electric vehicles," in 12th Annual Swedish Transport Research Conference, Stockholm, Sweden, 16-17 October 2023, 2023.
[40]
A. Skoufas et al., "Generating and evaluating route choice sets for large multimodal public transport networks: A case study for Stockholm Region," in 12th Annual Swedish Transport Research Conference, Stockholm, Sweden, 16-17 October 2023, 2023.
[41]
M. Cebecauer et al., "High-resolution public transport mode share estimation from mobile network and smart card data," in 12th Annual Swedish Transport Research Conference, Stockholm, Sweden, 16-17 October 2023, 2023.
[42]
Z. Dong, M. Cebecauer and E. Jenelius, "Pattern recognition in dynamic origin-destination matrices using dimensionality reduction and short-term prediction," in 11th Swedish Transport Research Conference, 18-19 October 2022, Lund, Sweden, 2022.
[43]
J. Lin et al., "The equity of public transport crowding exposure," in 11th Swedish National Transport Conference, 18-19 October 2022, Sweden, 2022.
[44]
M. Cebecauer et al., "Using flows or speeds in traffic pattern clustering and prediction : does the data type matter?," in Transportforum, Linköping, 16–17 juni 2022, 2022.
[45]
M. Cebecauer et al., "Generating Network-Wide Travel Diaries and OD Matrices Using Stockholm County Smartcard Data," in Transportforum, Linköping, 8-9 januari 2020, 2020.
[46]
I. Rubensson et al., "Resmönster och fördelningseffekter av taxeförändringanalyserat med hjälp av biljettvalideringsdata," in Transportforum, 8-9 januari 2020, Linköping, 2020.
[47]
M. Cebecauer et al., "Real-time city-level traffic prediction in the context of Stockholm City," in Transportforum, Linköping, Sweden, 10-11 January 2019, 2019.
[48]
D. Gundlegård et al., "Travel time estimation and prediction for traffic management in Stockholm," in Transportforum, Linköping, Sweden, 10-11 January 2018, 2018.
Theses
[49]
M. Cebecauer, "Enhancing Short-Term Traffic Prediction for Large-Scale Transport Networks by Spatio-Temporal Clustering," Doctoral thesis Stockholm, Sweden : KTH Royal Institute of Technology, TRITA-ABE-DLT, 2143, 2021.
[50]
M. Cebecauer, "Short-Term Traffic Prediction in Large-Scale Urban Networks," Licentiate thesis Stockholm : KTH Royal Institute of Technology, TRITA-ABE-DLT, 1915, 2019.
Reports
[51]
E. Jenelius et al., "Effekten av trängsel och komfort i kollektivtrafiken på resval: empirisk förstudie," , TRITA-ABE-RPT, 253, 2025.
[52]
[53]
[54]
O. Cats et al., "Unravelling Mobility Patterns using Longitudinal Smart Card Data : Final report for Trafik och Region 2019SLL-KTH research project," KTH Royal Institute of Technology, 2021.
[55]
E. Jenelius et al., "Bilrestider i storstad: Variationsmönster och upplevd osäkerhet (VARIA) : Slutrapport för projekt som genomförts på uppdrag av Trafikverket," KTH Royal Institute of Technology, 2020.
[56]
O. Cats et al., "How fair is the fare? Estimating travel patterns and the impacts of fare schemes for different user groups in Stockholm based on smartcard data : Final report for Trafik och Region 2018 SLL-KTH research project," KTH Royal Institute of Technology, 2019.
[57]
E. Jenelius and M. Cebecauer, "SHARP: Pre-study of Data Sharing for Demand-Responsive and Public Transport System-of-Systems : Public report," Fordonsstrategisk forskning och innovation, 2019.
Other
[58]
M. A. Khan et al., "A simulation framework for evaluating mobile autonomous charging pod operations," (Manuscript).
[59]
M. van Ardenne et al., "Summary of Levels of personalization in passenger information systems in public transport," , 2025.
[60]
M. A. Khan et al., "A comparative evaluation of mobile charging pods for electric bus operations," (Manuscript).
[61]
M. A. Khan et al., "A simulation framework for evaluating mobile autonomous charging pod operations," (Manuscript).
[62]
[63]
A. Skoufas et al., "Ex-post assessment of public transportation on-board crowding induced by new urban developments," (Manuscript).
[64]
M. Cebecauer et al., "Revealing representative day-types in transport networks using traffic data clustering," (Manuscript).
Latest sync with DiVA:
2025-12-07 02:05:41 UTC