Publikationer av Gyözö Gidófalvi
Refereegranskade
Artiklar
[1]
S. P. Cumbane och G. Gidofalvi, "Deep learning-based approach for COVID-19 spread prediction," International Journal of Data Science and Analytics, s. 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, s. 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, s. 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, s. 2667-2688, 2021.
[9]
S. P. Cumbane och 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, s. 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, s. 237-244, 2020.
[11]
C. Yang och 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 och 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 och Y. Susilo, "MEILI: A travel diary collection, annotation and automation system," Computers, Environment and Urban Systems, vol. 70, no. July 2018, s. 24-34, 2018.
[14]
C. Yang och G. Gidofalvi, "Mining and visual exploration of closed contiguous sequential patterns in trajectories," International Journal of Geographical Information Science, vol. 32, no. 7, s. 1282-1303, 2018.
[15]
C. Yang och G. Gidofalvi, "Fast map matching, an algorithm integrating hidden Markov model with precomputation," International Journal of Geographical Information Science, s. 1-24, 2017.
[16]
A. C. Prelipcean, G. Gidofalvi och Y. Susilo, "Transportation mode detection – an in-depth review of applicability and reliability," Transport reviews, vol. 37, no. 4, s. 442-464, 2017.
[17]
A. C. Prelipcean, G. Gidofalvi och Y. O. Susilo, "Measures of transport mode segmentation of trajectories," International Journal of Geographical Information Science, vol. 30, no. 9, s. 1763-1784, 2016.
[18]
A. C. Prelipcean, G. Gidofalvi och Y. O. Susilo, "Mobility Collector," Journal of Location Based Services, vol. 8, no. 4, s. 229-255, 2014.
[19]
G. Gidofalvi och T. B. Pedersen, "Mining Long, Sharable Patterns in Trajectories of Moving Objects," Geoinformatica, vol. 13, no. 1, s. 27-55, 2009.
[20]
G. Gidofalvi, H. R. Larsen och T. B. Pedersen, "Estimating the capacity of the Location-Based Advertising channel," International Journal of Mobile Communications, vol. 6, no. 3, s. 357-375, 2008.
[21]
E. Beatrix Cleff och G. Gidofalvi, "The legal aspects of a location-based mobile advertising platform," International Journal of Intellectual Property Management, vol. 2, no. 3, s. 261-275, 2008.
Konferensbidrag
[22]
J. Hatzenbühler et al., "Multi-purpose vehicle assignment for combined passenger and freight transport," i Transportation Research Board (TRB) 101st Annual Meeting, 2022.
[23]
M. A. Khan, G. Gidofalvi och C. K. Jat, "Smart Control and Feasibility Analysis of Shared Electric Vehicle Charging Robots," i 2022 IEEE IAS Global Conference on Emerging Technologies, GlobConET 2022, 2022, s. 887-892.
[24]
G. Gidofalvi och C. Yang, "The potential of route based ERS network optimization," i TRA2020 Book of Abstracts : Proceedings of 8th Transport Research Arena TRA 2020, April 27-30, 2020, Helsinki, Finland, 2020, s. 1-12.
[25]
G. Gidofalvi och C. Yang, "The potential of route based ERS network optimization : Transport demand optimized electric road placement," i Transportforum 2020, Linköping, Sweden, 8-9 January, 2020, 2020, s. 1-2.
[26]
S. P. Cumbane, C. Yang och G. Gidofalvi, "A Framework for Traffic Prediction Integrated with Deep Learning," i The 8th Symposium of the European Association for Research in Transportation, 2019.
[27]
R. Palmberg, Y. Susilo och G. Gidofalvi, "Uncovering Effects of Spatial and Transportation Elements on Travellers Using Biometric Data," i 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," i European Transport Conference ETC 2019, 2019.
[29]
A. C. Prelipcean, Y. Susilo och G. Gidofalvi, "Collecting travel diaries : Current state of the art, best practices, and future research directions," i Transport Survey Methods in the era of big data : facing the challenges, 2018, s. 155-166.
[30]
A. C. Prelipcean, Y. O. Susilo och G. Gidofalvi, "Future directions of research for automatic travel diary collection," i Proceedings of the 11th International conference on Transport Survey Methods, 2018.
[31]
A. C. Prelipcean, Y. O. Susilo och G. Gidofalvi, "A series of three case studies on the semi-automation of activity travel diary generation using smarpthones," i Proceedings of TRB 2017 Annual Meeting, 2017.
[32]
C. Yang och G. Gyözö, "Interactive Visual Exploration of Most LikelyMovements," i Geospatial data in a changing world selected papers of the 19th AGILE Conference on Geographic Information Science, 2016.
[33]
A. Prelipcean, G. Gidófalvi och Y. Susilo, "Comparative framework for activity-travel diary collection systems," i 2015 International Conference on Models and Technologies for Intelligent Transportation Systems, MT-ITS 2015, 2015, s. 251-258.
[34]
G. Gidofalvi och C. Yang, "Scalable Detection of Traffic Congestion from Massive Floating Car Data Streams," i 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," i The 4th ACM SIGSPATIAL International Workshop on Mobile Geographical Information Systems, Bellevue, WA, USA, November 3, 2015., 2015, s. 4049.
[36]
R. Zhu och G. Gidofalvi, "GPS-based Crowd Sourced Intelligent Traffic Information Hub," i Proceedings of the 26th International Cartographic Conference, 2013, s. 669-670.
[37]
Z. Yuan, Y. Jiang och G. Gidofalvi, "Geographical and Temporal Similarity Measurement on Location-based Social Networks," i Proceedings of the Second ACM SIGSPATIAL International Workshop on Mobile Geographic Information Systems, 2013, s. 30-34.
[38]
A. Bachmann, C. Borgelt och G. Gidófalvi, "Incremental frequent route based trajectory prediction," i IWCTS 2013 - 6th ACM SIGSPATIAL International Workshop on Computational Transportation Science, 2013, s. 49-54.
[39]
A. C. Prelipcean och G. Gidofalvi, "Mobility Collector : Battery Conscious Mobile Tracking," i Mobile Ghent 2013, 2013.
[40]
G. Gidófalvi och D. Fang, "When And Where Next : Individual Mobility Prediction," i 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," i GIS '11 Proceedings of the 19th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2011, s. 381-384.
[42]
G. Gidofalvi och S. Ehsan, "From Trajectories of Moving Objects to Route-Based Traffic Prediction and Management," i Proceedings of the Workshop on Movement Pattern Analysis 2010, Zurich, Switzerland, September 14, 2010., 2010, s. 132-135.
[43]
G. Gidofalvi och S. Ehsan, "Using Trajectories of Moving Objects in Traffic Prediction and Management," i 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," i Advances in Database Technology - EDBT 2008 - 11th International Conference on Extending Database Technology, Proceedings, 2008, s. 678-689.
[45]
G. Gidofalvi, G. Herenyi och T. Bach Pedersen, "Instant Social Ride-Sharing," i Proceedings of the Fifteenth World Congress on Intelligent Transport Systems, Nov 16-20, 2008, New York, NY, USA, 2008, s. 8.
[46]
G. Gidofalvi, X. Huang och T. B. Pedersen, "Privacy-preserving trajectory collection," i GIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems, 2008, s. 387-390.
[47]
G. Gidofalvi och T. B. Pedersen, "Cab-sharing : An Effective, Door-to-Door, On-Demand Transportation Service," i Proceedings of the 6th European Congress on Intelligent Transport Systems and Services, 18-20 Jun, 2007, Aalborg, Denmark, 2007, s. 8.
[48]
G. Gidofalvi, H. R. Larsen och T. B. Pedersen, "Estimating the Capacity of the Location : Based Advertising Channel," i Conference Proceedings - 6th International Conference on the Management of Mobile Business, ICMB 2007, 2007, s. 4278546.
[49]
G. Gidofalvi, X. Huang och T. B. Pedersen, "Privacy-Preserving Data Mining on Moving Object Trajectories," i 2007 International Conference on Mobile Data Management, 2007, s. 60-68.
[50]
G. Gidofalvi och T. B. Pedersen, "Mining Long, Sharable Patterns in Trajectories of Moving Objects," i Proceedings of the Third Workshop on Spatio-Temporal Database Management, STDBM 06, September 11, 2006, Seoul, South Korea, 2006, s. 49-58.
[51]
G. Gidofalvi och T. B. Pedersen, "ST-ACTS : a spatio-temporal activity simulator," i GIS '06 Proceedings of the 14th annual ACM international symposium on Advances in geographic information systems, 2006, s. 155-162.
[52]
G. Gidofalvi och T. B. Pedersen, "Spatio-temporal Rule Mining : Issues and Techniques," i DATA WAREHOUSING AND KNOWLEDGE DISCOVERY, PROCEEDINGS, 2005, s. 275-284.
Kapitel i böcker
[53]
G. Gidofalvi, X. Huang och T. B. Pedersen, "Probabilistic Grid-Based Approaches for Privacy-Preserving Data Mining on Moving Object Trajectories," i Privacy-Aware Knowledge Discovery : Novel Applications and New Techniques, Francesco Bonchi and Elena Ferrari red., 1. uppl. : CRC Press, 2010, s. 183-210.
Icke refereegranskade
Konferensbidrag
[54]
R. Palmberg, Y. Susilo och G. Gidofalvi, "Developing and trialling an implicit interaction platform to monitor and aiding dementia travellers," i Mobile Apps and Sensors in Surveys (MASS) Workshop, 4-5 March, Mannheim, Germany, 2019.
[55]
R. Palmberg, G. Gidofalvi och Y. Susilo, "Enabling Technologies to Serve the Ageing Urban Society Better (ENTRUST)," i Ny teknik i äldreomsorgen 24 maj 2018 Stockholm, 2018.
[56]
G. Gidofalvi, "A Mobile Consumer Analysis Platform," i 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, s. 2.
[57]
G. Gidofalvi och S. Ehsan, "Developing a Benchmark for Using Trajectories of Moving Objects in Traffic Prediction and Management," i Workshop on Movement Pattern Analysis 2010, Zurich, Switzerland, September 14, 2010, 2010.
[58]
G. Gidofalvi och C. Moran, "Estimating Traffic Performance in Road Networks from Anonymized GPS Vehicle Probes," i 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, s. 2.
Avhandlingar
[59]
G. Gidofalvi, "Spatio-Temporal Data Mining for Location-Based Services," Doktorsavhandling : Department of Computer Science, Aalborg University, Ph.D. Thesis, 44, 2008.
Rapporter
[60]
G. Gidofalvi, X. Huang och T. B. Pedersen, "Privacy-Preserving Data Mining on Moving Object Trajectories," Aalborg University, Department of Computer Science, AAU DB Tech Reports, 20, 2007.
Övriga
[61]
R. C. O. Palmberg et al., "Built Environment Characteristics, Daily Travel, and Biometric Readings: Creation of an Experimental Tool based on a Smartwatch Platform," (Manuskript).
[62]
R. C. O. Palmberg, Y. O. Susilo och G. Gidofalvi, "Developing and Trialling an Implicit Interaction Platform to Monitor Elderly Travellers," (Manuskript).
[63]
C. Yang och G. Gidofalvi, "Efficient Comparison of Contiguous Sequential Patterns in GPS Trajectory Data by Bidirectional Pruning," (Manuskript).
[64]
Y. O. Susilo et al., "Lessons from a trial of MEILI, a smartphone based semi-automatic activity-travel diary collector, in Stockholm city, Sweden," (Manuskript).
[65]
A. C. Prelipcean, G. Gidofalvi och Y. O. Susilo, "Longest common subsequences: Identifying the stability of individuals’ travel patterns," (Manuskript).
[66]
C. Yang och G. Gidofalvi, "Matching Sparse GPS Data to Large Scale Road Network Accelerated by AStar Search," (Manuskript).
[67]
E. Saqib och G. Gidofalvi, "Revenue and Impact Maximizing Charging Network Placement," (Manuskript).
[68]
S. P. Cumbane och G. Gidofalvi, "Spatio-temporal Exposure Risk Estimation for COVID-19 Using Social Network Analysis and Mobile Phone Data," (Manuskript).
[69]
R. C. O. Palmberg et al., "Using Smart Technologies to Understand Travellers Who have Dementia: Potentials and Challenges," (Manuskript).
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2024-11-21 01:05:23