Scientific Publications

The following publications have been approved and are available online:

  • Janković, S., S. Mladenović, D. Mladenović, S. Vesković, and D. Glavić, “Schema on Read Modeling Approach as a Basis of Big Data Analytics Integration in EIS“, Enterprise Information Systems, Vol. 12, Issue: 8-9, pp. 1180-1201, 2018, ISSN: 1751-7575, doi:10.1080/17517575.2018.1462404.
  • Janković, S., S. Mladenović, S. Zdravković, S. Vesković, and A. Uzelac, “MongoDB Databases in Big Data Applications in Transportation Industry“, Proceedings of the Second International Conference “Transport for Today’s Society” – TTS 2018, 17-19 May 2018, doi: 10.20544/TTS2018.P02 Bitola, FYROM.
  • Fei, X., Shah, N., Verba, N., Chao, K. M., Sanchez-Anguix, V., Lewandowski, J., … & Usman, Z. (2019). CPS data streams analytics based on machine learning for Cloud and Fog Computing: A survey. Future Generation Computer Systems, 90, 435-450. ISO 690.
  • Nandor Verba, Kuo-Ming Chao, Soizic Linford, Eleni Anoyrkati, “Smart Transportation Platform for Big Data Analytics and Interconnectivity”, Conference Proceedings of International Conference on Traffic and Transportation Engineering, 2018, 27-28 Sept, 2018, Belgrade, Serbia
  • Katrakazas, C. Antoniou, N. S. Vazquez, I. Trochidis and S. Arampatzis, “Big Data and Emerging Transportation Challenges: Findings from the NOESIS project,” 2019 6th International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS), Cracow, Poland, 2019, pp. 1-9. doi: 10.1109/MTITS.2019.8883308
  • Soizic Linford, Benjamin Bogdanovic; Kuo-Ming Chao, Slađana Janković; Vladislav
    Maraš; Mirjana Bugarinović, Ilias Trochidis, “Data analysis on big data applications with small samples and incomplete information”, The 2019 IEEE 23rd International Conference on Computer Supported Cooperative Work in Design (IEEE CSCWD2019), 6-8 May, 2019, Porto, Portugal (Best Application Paper Award).
  • Katrakazas, C., C. Antoniou and G. Yannis (2019). Time series classification using imbalanced learning for real-time safety assessment. 98th Annual Meeting of the Transportation Research Board, 13-17 January, Washington, D.C.
  • Cantelmo, G., K. Rafal and C. Antoniou (2020). A low dimensional model for bike sharing demand forecasting that explicitly accounts for weather and contextual data. 99th Annual Meeting of the Transportation Research Board, 12-16 January, Washington, D.C.
  • Slađana Janković, Vladislav Maraš, Mirjana Bugarinović, “Feature Subsets Evaluation Using Filter and Wrapper Methods”, Proceedings of  the XLVI International Symposium on Operational Research, Kladovo, Serbia, 15-18 September 2019, pp. 497-502, Publisher: University of Belgrade, Faculty of Organizational Sciences, Belgrade, Serbia, ISBN:  978-86-7680-363-7, available at:
  • Sobrino, Natalia; Gómez, Juan; Vassallo, José Manuel. “Big Data: Desafío y oportunidades en el sector transporte”, Revista de Obras Públicas, 3604, 14-19. December 2018. ISSN: 0034-8619.

The following publications have been approved and waiting to be published:

  • Christos Katrakazas, Natalia Sobrino, Ilias Trochidis, Stratos Arampatzis, Jose Manuel Vassallo, Constantinos Antoniou, “A Decision Support Tool for Evaluating Big Data Investment in Transport: Empirical evidence from European use cases of NOESIS project”, submitted in the Transportation Research Arena 2020 Conference.
  • Sobrino, N., Gomez, J., Vassallo, J.M., 2020. A Review of Big Data Sources for Trip-Generation Modelling, Accepted at Transportation Research Board 2020 Annual Meeting, January 12-16, 2020, Washington, D.C., USA.
  • Palmberg, R., Susilo, Y., Gidofalvi, G., 2019. Uncovering Effects of Spatial and Transportation Elements on Travellers Using Biometric Data. In: Toivonen, T., Karst, G., Willberg, E. (Eds.), TOWARDS HUMAN SCALE CITIES – OPEN AND HAPPY. Department of Geosciences and Geography, University of Helsinki, Helsinki, p. 125.
  • Palmberg, R., Susilo, Y., Gidofalvi, G., 2019. Developing and trialling an implicit interaction platform to monitor and aiding dementia travellers. In: Mobile Apps and Sensors in Surveys (MASS) Workshop. Mannheim.
  • Palmberg, R., Gidofalvi, G., Susilo, Y., 2018. Enabling Technologies to Serve the Ageing Urban Society Better (ENTRUST). In: Ny Teknik i Äldreomsorgen. Stockholm.

The following publications have been submitted and waiting for approval:

  • Sobrino, Natalia; & Vassallo, J.M. “Benefits analysis of big data applications in transport: Evidence from European use cases”, Congreso de Ingeniería de Transporte en España, Junio 2020.