Abstract
The importance of linking transport and traffic information in recent years has become a major topic among the countries of the European Union and beyond. Authorities and decision-makers are introducing terms such as open data and big data into legal frameworks and are increasing focus on removing barriers from legal regulation on the use of data closely related to transport. This paper provides information on the application and level of use of open data and big data in Croatia, as well as a legal legislation framework that ensures the use of such data in the Republic of Croatia. Observations and findings on the amount of data available for use by third-parties service providers that are strictly related to transport were presented. Based on experience from the world, the benefits brought by the availability of transport linked data that could be used in optimizing urban traffic network through the big data technologies have been outlined.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Big and Open Data in Transport, The parliamentary office of science and technology London (2014)
M. Schroeck, M.R. Shockley, J. Smart, D. Romero-Morales, P. Tufano, Analytics: the real-world use of big data (IBM Institute for Business Value, 2012)
L. Henry, Analytics and big data—Rail Public Transportation is a Leader, in APTA 2013, (Rail Conference, Philadelphia, 2013)
UK Government Page, https://www.gov.uk/government/publications/open-data-white-paper-unleashing-the-potential. Accessed 13 Aug 2020
UK Government Page, https://www.gov.uk/government/publications/department-for-education-open-data-strategy-june-2012. Accessed 13 Aug 2020
Directive (EU) 2019/1024 of the European Parliament and of the Council of 20 June 2019 on open data and the reuse of public sector information
P. Colpaert, M. Van Compernolle, N. Walravens, R. Verborgh, P. Mechant, E. Mannens, L. De Marez, P. Ballon, R. Van de Walle, Open transport data as an enabler for multimodal route planning, in Proceedings of the 11th ITS European Congress, (2016)
D.O.T. Iowa, Traffic operations open data service (Iowa State University, Institute for Transportation, Iowa, 2018)
M. Batty, Big data, smart cities and city planning. Dialog Human Geogr 3(3), 274–270 (2013)
D. Uniman, Service reliability measurement framework using smart card data: application to the London underground. M.Sc. Thesis, Massachusetts Institute of Technology, USA (2009)
M. Ortega-Tong, Classification of London’s public transport users using smart card data. M.Sc. Thesis, Massachusetts Institute of Technology, USA (2013)
P. Colpaert, Publishing transport data for maximized reuse. Web book (Ghent University, Ghent, 2017)
J. Dibbelt, T. Pajor, B. Strasser, D. Wagner, Intriguingly simple and fast transit routing, in Experimental algorithms, (Springer, New York, 2013), pp. 43–54
Five-Year Delivery Plan to March 2018. Transport systems catapult, UK (2013)
A. Somers, Connected and automated vehicles (CAV) open data recommendations, research report AP-581-18 (Austroads Ltd, Sydney, 2016)
Croatian Open Data Portal Homepage, https://data.gov.hr/. Accessed 13 Aug 2020
Croatian Bureau of Statistics Homepage, https://www.dzs.hr/default_e.htm. Accessed 13 Aug 2020
L. Lepri, Croatian strategy for the development of public administration for the period from 2015 to 2020. INFuture2015: e-Institutions—Openness, accessibility, and preservation (2015), DOI: https://doi.org/10.17234/INFUTURE.2015.5.
e-Croatia 2020 Strategy, Ministry of public administration (Croatia, Zagreb, 2017)
Open Government Partnership Page, https://www.opengovpartnership.org/process/action-plan-cycle/. Accessed 13 Aug 2020
Open Government Partnership Page, https://www.opengovpartnership.org/members/croatia/commitments/HR0038/. Accessed 13 Aug 2020
A. Musa, D. Bevanić, D. Herak, L. Jandrijević, M. Kovačić, Z. Luša, N. Vrček, Priručnik o ponovnoj uporabi informacija za tijela javne vlasti: Otvoreni podaci za sve [Handbook on re-use of information for public authorities: Open data for all] (Information Commissioner, Republic of Croatia, Zagreb, 2018)
Open Data Charter Page, https://opendatacharter.net/principles/. Accessed 13 Aug 2020
Open Knowledge Foundation Page, http://opendefinition.org/licenses/. Accessed 13 Aug 2020
Five Star Open Data Homepage, http://5stardata.info/en/. Accessed 13 Aug 2020
European Commission Page, https://cordis.europa.eu/project/id/857592. Accessed 13 Aug 2020
Stranica Europske Komisije [European Commission page], https://ec.europa.eu/croatia/basic/everything_you_need_to_know_about_big_data_technology_hr. Accessed 13 Aug 2020
Eurostat Newsrelease, https://ec.europa.eu/eurostat/documents/2995521/9447642/9-13122018-BP-EN.pdf/731844ac-86ad-4095-b188-e03f9f713235. Accessed 13 Aug 2020
European Commission Page, https://ec.europa.eu/research/infocentre/article_en.cfm?%26artid=49217%26caller=other. Accessed 13 Aug 2020
W. Carrara, E.S. Chan, S. Ficsher, E. van Streenbergen, Creating value through open data. Eur. Union (2015). https://doi.org/10.2759/328101
S. Amini, I. Gerostathopoulos, C. Prehofer, Big data analytics architecture for real-time traffic control, in 5th IEEE International conference on models and technologies for intelligent transportation systems (MT-ITS), (2017). https://doi.org/10.1109/MTITS.2017.8005605
F. Calabrese, G. Di Lorenzo, L. Liu, C. Ratti, Estimating Origin—Destination flows using opportunistically collected mobile phone location data from one million users in Boston Metropolitan Area. IEEE Pervasive Comput. 99, 36–44 (2011)
M.S. Iqbal, C.F. Choudhury, P. Wang, M.C. González, Development of origin-destination matrices using mobile phone call data. Transp. Res. Part C Emerg. Technol. 40, 63–74 (2014)
F. Pinelli, R. Nair, F. Calabrese, M. Berlingerio, G. Di Lorenzo, M.L. Sbodio, Data-driven transit network design from mobile phone trajectories. IEEE Trans. Intell. Transp. Syst. 17(6), 1724–1733 (2016)
X. Zhan, S. Hasan, S.V. Ukkusuri, C. Kamga, Urban link travel time estimation using large-scale taxi data with partial information. Transp. Res. Part C Emerg. Technol. 33, 37–49 (2013)
S. Reiss, K. Bogenberger, GPS-data analysis of Munich’s free-floating bike sharing system and application of an operator-based relocation strategy, in Intelligent Transportation Systems (ITSC), IEEE 18th International Conference, (2015), pp. 584–589
H. Chen, H.A. Rakha, Real-time travel time prediction using particle filtering with a non-explicit state-transition model. Transp. Res. Part C Emerg. Technol. 43, 112–126 (2014)
K. Fu, R. Nune, J.X. Tao, Social media data analysis for traffic incident detection and management, in Transportation Research Board 94th Annual Meeting no. 15–4022, (2015)
R. Claes, T. Holvoet, D. Weyns, A decentralized approach for anticipatory vehicle routing using delegate multiagent systems. IEEE Trans. Intell. Transp. Syst. 12(2), 364–373 (2011)
H. Yu, D. Chen, Z. Wu, X. Ma, Y. Wang, Headway-based bus bunching prediction using transit smart card data. Transp. Res. Part C Emerg. Technol. 72, 45–59 (2016)
P. St-Aubin, N. Saunier, L. Miranda-Moreno, Large-scale automated proactive road safety analysis using video data. Transp. Res. Part C Emerg. Technol. 58, 363–379 (2015)
X. Wang, A.J. Khattak, J. Liu, G. Masghati-Amoli, S. Son, What is the level of volatility in instantaneous driving decisions? Transp. Res. Part C Emerg. Technol. 58, 413–427 (2015)
M. Hossain, Y. Muromachi, A Bayesian network based framework for real-time crash prediction on the basic freeway segments of urban expressways. Accid. Anal. Prev. 45, 373–381 (2012)
Acknowledgments
This research is realized within the EU’s Horizon 2020 research and innovation program under Grant Agreement Number 857592—Twinning Open Data Operational (TODO) and supported by the University of Zagreb Program Funds Support for scientific and artistic research (2020) through the project: “Innovative models and control strategies for intelligent mobility.”
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Vujic, M., Dedic, L., Furjan, M.T., Pihir, I. (2022). The Benefits of Open Data in Urban Traffic Network. In: Knapčíková, L., Peraković, D., Behúnová, A., Periša, M. (eds) 5th EAI International Conference on Management of Manufacturing Systems. EAI/Springer Innovations in Communication and Computing. Springer, Cham. https://doi.org/10.1007/978-3-030-67241-6_22
Download citation
DOI: https://doi.org/10.1007/978-3-030-67241-6_22
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-67240-9
Online ISBN: 978-3-030-67241-6
eBook Packages: EngineeringEngineering (R0)