Deliverables
A report on big data governance and institutional issues.
A report describing the research challenges related to big data technologies and methods for the transport sector.
This deliverable will report the activities for exploiting the research results of the project after the project’s life time.
A report describing the review and analysis of the Big Data investments and services
This deliverable will consist of the Data Benefit Analysis and the Impact Assessment Methodology for the evaluation of investments in big data to improve management and optimization of transport systems and networks.
Four targeted (4) policy briefs by the end of the project
A report with all the use cases identified in NOESIS
A report on planned dissemination, communication and exploitation activities.
This deliverable will provide a set of recommendations for the right implementation of successful business models for using of big data for transport. The analysis will make recommendations depending on the freight vs. passenger transport and the specific characteristic of each transport mode, or the interconnection of different transport modes.
A report on the key lessons learns and best practices derived from the use cases analysis.
A report describing the Learning Framework methodology and architecture of NOESIS.
This deliverable will produce two coordinated roadmaps: one for the implementation of technological solutions and the other one for policy measures aimed at facilitating the use of big data to public agencies and transport companies.
A report describing the development and validation of the NOESIS Decision Support tool (DST)
A Report summarizing all Big Data related Laws, Regulations, and Directives related to transport.
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Publications
Author(s): Janković, S., S. Mladenović, S. Zdravković, S. Vesković, and A. Uzelac,
Published in: "Second International Conference ""Transport for Today's Society""", 2019, ISBN 9789-989786778
Publisher: Faculty of Technical Sciences Bitola
DOI: 10.20544/tts2018.p02
Author(s): Nandor Verba, Kuo-Ming Chao, Soizic Linford, Eleni Anoyrkati
Published in: Proceedings of the Fourth International Conference on Traffic and Transport Engineering, Belgrade 2018, 2018, Page(s) 232-238, ISBN 978-86-916153-4-5
Publisher: City Net Scientific Research Center Ltd. Belgrade
Author(s): Katrakazas C., Antoniou C., Yannis G.
Published in: Transportation Research Board (TRB), Proceedings of the Transportation Research Board (TRB) 98th Annual Meeting,, 2019
Publisher: TRB
Author(s): Soizic Linford, Benjamin Bogdanovic, Kuo-Ming Chao, Sladana Jankovic, Vladislav Maras, Mirjana Bugarinovic, Ilias Trochidis
Published in: 2019 IEEE 23rd International Conference on Computer Supported Cooperative Work in Design (CSCWD), 2019, Page(s) 146-151, ISBN 978-1-7281-0350-1
Publisher: IEEE
DOI: 10.1109/cscwd.2019.8791927
Author(s): Slađana Janković, Snežana Mladenović, Dušan Mladenović, Slavko Vesković, Draženko Glavić
Published in: Enterprise Information Systems, 12/8-9, 2018, Page(s) 1180-1201, ISSN 1751-7575
Publisher: Taylor & Francis
DOI: 10.1080/17517575.2018.1462404
Author(s): Xiang Fei, Nazaraf Shah, Nandor Verba, Kuo-Ming Chao, Victor Sanchez-Anguix, Jacek Lewandowski, Anne James, Zahid Usman
Published in: Future Generation Computer Systems, 90, 2019, Page(s) 435-450, ISSN 0167-739X
Publisher: Elsevier BV
DOI: 10.1016/j.future.2018.06.042
Author(s): Szu-Yin Lin, Chi-Chun Chiang, Jung-Bin Li, Zih-Siang Hung, Kuo-Ming Chao
Published in: Future Generation Computer Systems, 89, 2018, Page(s) 446-454, ISSN 0167-739X
Publisher: Elsevier BV
DOI: 10.1016/j.future.2018.06.052