Publications by Gyözö Gidófalvi

Peer reviewed

Articles

[1]

S. P. Cumbane and G. Gidofalvi, "Deep learning-based approach for COVID-19 spread prediction," International Journal of Data Science and Analytics, pp. 1-17, 2024.

[2]

J. Hatzenbühler et al., "Multi-purpose pickup and delivery problem for combined passenger and freight transport," Transportation, 2024.

[3]

R. Hosseini et al., "A Novel Method for Extracting and Analyzing the Geometry Properties of the Shortest Pedestrian Paths Focusing on Open Geospatial Data," ISPRS International Journal of Geo-Information, vol. 12, no. 7, 2023.

[4]

J. Hatzenbühler et al., "Modular vehicle routing for combined passenger and freight transport," Transportation Research Part A : Policy and Practice, vol. 173, pp. 103688-103688, 2023.

[5]

R. Palmberg et al., "Towards a better understanding of the health impacts of one’s movement in space and time," Journal of Literature and Science, pp. 1-24, 2022.

[6]

R. Palmberg et al., "Built Environment Characteristics, Daily Travel, and Biometric Readings : Creation of an Experimental Tool Based on a Smartwatch Platform," Sustainability, vol. 13, no. 17, 2021.

[7]

A. Pernestål et al., "How Will Digitalization Change Road Freight Transport? : Scenarios Tested in Sweden," Sustainability, vol. 13, no. 1, 2021.

[8]

S. Hosseini et al., "Mapping the intellectual structure of GIS-T field (2008–2019) : a dynamic co-word analysis," Scientometrics, vol. 126, no. 4, pp. 2667-2688, 2021.

[9]

S. P. Cumbane and G. Gidofalvi, "Spatial Distribution of Displaced Population Estimated Using Mobile Phone Data to Support Disaster Response Activities," ISPRS International Journal of Geo-Information, vol. 10, no. 6, pp. 421, 2021.

[10]

J. W. Joubert et al., "A matching algorithm to study the evolution of logistics facilities extracted from GPS traces," Transportation Research Procedia, vol. 46, no. 2020, pp. 237-244, 2020.

[11]

C. Yang and G. Gidófalvi, "Detecting regional dominant movement patterns in trajectory data with a convolutional neural network," International Journal of Geographical Information Science, 2019.

[12]

S. P. Cumbane and G. Gidofalvi, "Review of Big Data and Processing Frameworks for Disaster Response Applications," ISPRS International Journal of Geo-Information, vol. 8, no. 9, 2019.

[13]

A. C. Prelipcean, G. Gidofalvi and Y. Susilo, "MEILI: A travel diary collection, annotation and automation system," Computers, Environment and Urban Systems, vol. 70, no. July 2018, pp. 24-34, 2018.

[14]

C. Yang and G. Gidofalvi, "Mining and visual exploration of closed contiguous sequential patterns in trajectories," International Journal of Geographical Information Science, vol. 32, no. 7, pp. 1282-1303, 2018.

[15]

C. Yang and G. Gidofalvi, "Fast map matching, an algorithm integrating hidden Markov model with precomputation," International Journal of Geographical Information Science, pp. 1-24, 2017.

[16]

A. C. Prelipcean, G. Gidofalvi and Y. Susilo, "Transportation mode detection – an in-depth review of applicability and reliability," Transport reviews, vol. 37, no. 4, pp. 442-464, 2017.

[17]

A. C. Prelipcean, G. Gidofalvi and Y. O. Susilo, "Measures of transport mode segmentation of trajectories," International Journal of Geographical Information Science, vol. 30, no. 9, pp. 1763-1784, 2016.

[18]

A. C. Prelipcean, G. Gidofalvi and Y. O. Susilo, "Mobility Collector," Journal of Location Based Services, vol. 8, no. 4, pp. 229-255, 2014.

[19]

G. Gidofalvi and T. B. Pedersen, "Mining Long, Sharable Patterns in Trajectories of Moving Objects," Geoinformatica, vol. 13, no. 1, pp. 27-55, 2009.

[20]

G. Gidofalvi, H. R. Larsen and T. B. Pedersen, "Estimating the capacity of the Location-Based Advertising channel," International Journal of Mobile Communications, vol. 6, no. 3, pp. 357-375, 2008.

[21]

E. Beatrix Cleff and G. Gidofalvi, "The legal aspects of a location-based mobile advertising platform," International Journal of Intellectual Property Management, vol. 2, no. 3, pp. 261-275, 2008.

Conference papers

[22]

J. Hatzenbühler et al., "Multi-purpose vehicle assignment for combined passenger and freight transport," in Transportation Research Board (TRB) 101st Annual Meeting, 2022.

[23]

M. A. Khan, G. Gidofalvi and C. K. Jat, "Smart Control and Feasibility Analysis of Shared Electric Vehicle Charging Robots," in 2022 IEEE IAS Global Conference on Emerging Technologies, GlobConET 2022, 2022, pp. 887-892.

[24]

G. Gidofalvi and C. Yang, "The potential of route based ERS network optimization," in TRA2020 Book of Abstracts : Proceedings of 8th Transport Research Arena TRA 2020, April 27-30, 2020, Helsinki, Finland, 2020, pp. 1-12.

[25]

G. Gidofalvi and C. Yang, "The potential of route based ERS network optimization : Transport demand optimized electric road placement," in Transportforum 2020, Linköping, Sweden, 8-9 January, 2020, 2020, pp. 1-2.

[26]

S. P. Cumbane, C. Yang and G. Gidofalvi, "A Framework for Traffic Prediction Integrated with Deep Learning," in The 8th Symposium of the European Association for Research in Transportation, 2019.

[27]

R. Palmberg, Y. Susilo and G. Gidofalvi, "Uncovering Effects of Spatial and Transportation Elements on Travellers Using Biometric Data," in TOWARDS HUMAN SCALE CITIES - OPEN AND HAPPY, 2019.

[28]

A. Pernestål et al., "Will digitalization change freight transport? : Future scenarios for the digitized freight transport landscape with Sweden as a case study," in European Transport Conference ETC 2019, 2019.

[29]

A. C. Prelipcean, Y. Susilo and G. Gidofalvi, "Collecting travel diaries : Current state of the art, best practices, and future research directions," in Transport Survey Methods in the era of big data : facing the challenges, 2018, pp. 155-166.

[30]

A. C. Prelipcean, Y. O. Susilo and G. Gidofalvi, "Future directions of research for automatic travel diary collection," in Proceedings of the 11th International conference on Transport Survey Methods, 2018.

[31]

A. C. Prelipcean, Y. O. Susilo and G. Gidofalvi, "A series of three case studies on the semi-automation of activity travel diary generation using smarpthones," in Proceedings of TRB 2017 Annual Meeting, 2017.

[32]

C. Yang and G. Gyözö, "Interactive Visual Exploration of Most LikelyMovements," in Geospatial data in a changing world selected papers of the 19th AGILE Conference on Geographic Information Science, 2016.

[33]

A. Prelipcean, G. Gidófalvi and Y. Susilo, "Comparative framework for activity-travel diary collection systems," in 2015 International Conference on Models and Technologies for Intelligent Transportation Systems, MT-ITS 2015, 2015, pp. 251-258.

[34]

G. Gidofalvi and C. Yang, "Scalable Detection of Traffic Congestion from Massive Floating Car Data Streams," in The First International Workshop on Smart Cities and Urban Analytics (UrbanGIS) 2015, Bellevue, WA, USA, NOVEMBER 3, 2015, 2015.

[35]

G. Gidofalvi, "Scalable Selective Traffic Congestion Notification," in The 4th ACM SIGSPATIAL International Workshop on Mobile Geographical Information Systems, Bellevue, WA, USA, November 3, 2015., 2015, p. 4049.

[36]

R. Zhu and G. Gidofalvi, "GPS-based Crowd Sourced Intelligent Traffic Information Hub," in Proceedings of the 26th International Cartographic Conference, 2013, pp. 669-670.

[37]

Z. Yuan, Y. Jiang and G. Gidofalvi, "Geographical and Temporal Similarity Measurement on Location-based Social Networks," in Proceedings of the Second ACM SIGSPATIAL International Workshop on Mobile Geographic Information Systems, 2013, pp. 30-34.

[38]

A. Bachmann, C. Borgelt and G. Gidófalvi, "Incremental frequent route based trajectory prediction," in IWCTS 2013 - 6th ACM SIGSPATIAL International Workshop on Computational Transportation Science, 2013, pp. 49-54.

[39]

A. C. Prelipcean and G. Gidofalvi, "Mobility Collector : Battery Conscious Mobile Tracking," in Mobile Ghent 2013, 2013.

[40]

G. Gidófalvi and D. Fang, "When And Where Next : Individual Mobility Prediction," in MobiGIS 2012 The First ACM SIGSPATIAL International Workshop on Mobile Geographical Information Systems, November 6, 2012, Redondo Beach, CA, USA, 2012.

[41]

G. Gidofalvi et al., "Frequent route based continuous moving object location- and density prediction on road networks," in GIS '11 Proceedings of the 19th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2011, pp. 381-384.

[42]

G. Gidofalvi and S. Ehsan, "From Trajectories of Moving Objects to Route-Based Traffic Prediction and Management," in Proceedings of the Workshop on Movement Pattern Analysis 2010, Zurich, Switzerland, September 14, 2010., 2010, pp. 132-135.

[43]

G. Gidofalvi and S. Ehsan, "Using Trajectories of Moving Objects in Traffic Prediction and Management," in Workshop on Movement Pattern Analysis 2010, Zurich, Switzerland, September 14, 2010, 2010.

[44]

G. Gidofalvi et al., "Highly scalable trip grouping for large-scale collective transportation systems," in Advances in Database Technology - EDBT 2008 - 11th International Conference on Extending Database Technology, Proceedings, 2008, pp. 678-689.

[45]

G. Gidofalvi, G. Herenyi and T. Bach Pedersen, "Instant Social Ride-Sharing," in Proceedings of the Fifteenth World Congress on Intelligent Transport Systems, Nov 16-20, 2008, New York, NY, USA, 2008, p. 8.

[46]

G. Gidofalvi, X. Huang and T. B. Pedersen, "Privacy-preserving trajectory collection," in GIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems, 2008, pp. 387-390.

[47]

G. Gidofalvi and T. B. Pedersen, "Cab-sharing : An Effective, Door-to-Door, On-Demand Transportation Service," in Proceedings of the 6th European Congress on Intelligent Transport Systems and Services, 18-20 Jun, 2007, Aalborg, Denmark, 2007, p. 8.

[48]

G. Gidofalvi, H. R. Larsen and T. B. Pedersen, "Estimating the Capacity of the Location : Based Advertising Channel," in Conference Proceedings - 6th International Conference on the Management of Mobile Business, ICMB 2007, 2007, p. 4278546.

[49]

G. Gidofalvi, X. Huang and T. B. Pedersen, "Privacy-Preserving Data Mining on Moving Object Trajectories," in 2007 International Conference on Mobile Data Management, 2007, pp. 60-68.

[50]

G. Gidofalvi and T. B. Pedersen, "Mining Long, Sharable Patterns in Trajectories of Moving Objects," in Proceedings of the Third Workshop on Spatio-Temporal Database Management, STDBM 06, September 11, 2006, Seoul, South Korea, 2006, pp. 49-58.

[51]

G. Gidofalvi and T. B. Pedersen, "ST-ACTS : a spatio-temporal activity simulator," in GIS '06 Proceedings of the 14th annual ACM international symposium on Advances in geographic information systems, 2006, pp. 155-162.

[52]

G. Gidofalvi and T. B. Pedersen, "Spatio-temporal Rule Mining : Issues and Techniques," in DATA WAREHOUSING AND KNOWLEDGE DISCOVERY, PROCEEDINGS, 2005, pp. 275-284.

Chapters in books

[53]

G. Gidofalvi, X. Huang and T. B. Pedersen, "Probabilistic Grid-Based Approaches for Privacy-Preserving Data Mining on Moving Object Trajectories," in Privacy-Aware Knowledge Discovery : Novel Applications and New Techniques, Francesco Bonchi and Elena Ferrari Ed., 1st ed. : CRC Press, 2010, pp. 183-210.

Non-peer reviewed

Conference papers

[54]

R. Palmberg, Y. Susilo and G. Gidofalvi, "Developing and trialling an implicit interaction platform to monitor and aiding dementia travellers," in Mobile Apps and Sensors in Surveys (MASS) Workshop, 4-5 March, Mannheim, Germany, 2019.

[55]

R. Palmberg, G. Gidofalvi and Y. Susilo, "Enabling Technologies to Serve the Ageing Urban Society Better (ENTRUST)," in Ny teknik i äldreomsorgen 24 maj 2018 Stockholm, 2018.

[56]

G. Gidofalvi, "A Mobile Consumer Analysis Platform," in Proceedings of the Workshop on Innovation in Movement Behaviour Analysis : 7th International Conference on Methods and Techniques in Behavioral Research, August 24 - 27, 2010, Eindhoven, Netherlands, 2010, p. 2.

[57]

G. Gidofalvi and S. Ehsan, "Developing a Benchmark for Using Trajectories of Moving Objects in Traffic Prediction and Management," in Workshop on Movement Pattern Analysis 2010, Zurich, Switzerland, September 14, 2010, 2010.

[58]

G. Gidofalvi and C. Moran, "Estimating Traffic Performance in Road Networks from Anonymized GPS Vehicle Probes," in Proceedings of the Workshop on Movement Research: Are you in the flow? : The 13th AGILE International Conference on Geographic Information Science, 10-14 May 2010, Guimarães, Portugal, 2010, p. 2.

Theses

[59]

G. Gidofalvi, "Spatio-Temporal Data Mining for Location-Based Services," Doctoral thesis : Department of Computer Science, Aalborg University, Ph.D. Thesis, 44, 2008.

Reports

[60]

G. Gidofalvi, X. Huang and T. B. Pedersen, "Privacy-Preserving Data Mining on Moving Object Trajectories," Aalborg University, Department of Computer Science, AAU DB Tech Reports, 20, 2007.