The motivations for and barriers to cloud technologies in the field of transportation

Authors

DOI:

https://doi.org/10.54201/iajas.v2i1.26

Keywords:

cloud computing, urban transportation, information technology

Abstract

Cloud technologies have gained high popularity in recent years. Due to the digital transformation in past decades, information- and info-communication technologies (ICT) have become highly recognized in all sectors. Cloud technologies have appeared as scalable, agile, secured, and global solutions. Next to advantages though, several barriers are identified. In this paper, we review the main cloud computing models, the advantages and barriers of cloud technologies, as well as the special state of transportation. Based on the review, we introduce the role of the National Data Economy Knowledge Centre in transportation development, especially focusing on proposed cloud applications.

References

Ali, R. Y., Gunturi, V. M. V., Shekhar, S., Eldaxy, A., Mokbel, M. F., Kotz, A. J., & Northrop, W. F. (2015). Future connected vehicles: challenges and opportunities for spatio-temporal computing. In Proceedings of the 23rd SIGSPATIAL International Conference on Advances in Geographic Information Systems (pp. 1–4). https://doi.org/10.1145/2820783.2820885

Avram, M. G. (2014). Advantages and Challenges of Adopting Cloud Computing from an Enterprise Perspective. Procedia Technology, 12, 529–534. https://doi.org/10.1016/j.protcy.2013.12.525

Cheng, F. C., & Lai, W. H. (2012). The Impact of Cloud Computing Technology on Legal Infrastructure within Internet – Focusing on the Protection of Information Privacy. Procedia Engineering, 29, 241–251. https://doi.org/10.1016/j.proeng.2011.12.701

Dameri, R. P. (2013). Searching for smart city definition: a comprehensive proposal. International Journal of Computers & Technology, 11(5), 2544–2551.

Dubey, A., & Wagle, P. (2007). Delivering software as a service. The McKinsey Quarterly, 6, 1–12. Online: https://bit.ly/3QlrIpg

Hensher, D. A. (1994). Stated preference analysis of travel choices: the state of practice. Transportation, 21(2), 107–133. https://doi.org/10.1007/bf01098788

Hussain, S. A., Fatima, M., Saeed, A., Raza, I., & Shahzad, R. K. (2017). Multilevel classification of security concerns in cloud computing. Applied Computing and Informatics, 13(1), 57–65. https://doi.org/10.1016/j.aci.2016.03.001

Lazaroiu, G. C., & Roscia, M. (2012). Definition methodology for the smart cities model. Energy, 47(1), 326–332. https://doi.org/10.1016/j.energy.2012.09.028

Mehrotra, S., Zusman, E., Bajpai, J. N., Fedirko, L., Jacob, K., Replogle, M., Woundy, M., & Yoon, S. (2018). Urban transportation. In Rosenzweig, C., W. Solecki, P. Romero-Lankao, S. Mehrotra, S. Dhakal, & S. Ali Ibrahim (Eds.), Climate Change and Cities: Second Assessment Report of the Urban Climate Change Research Network (pp. 491–518). Cambridge University Press.

Meijer, A., & Bolívar, M. P. R. (2015). Governing the smart city: a review of the literature on smart urban governance. International Review of Administrative Sciences, 82(2), 392–408. https://doi.org/10.1177.0020852314564308

Mell, P., & Grance, T. (2011). The NIST Definition of Cloud Computing. Recommendations of the National Institute of Standards and Technology. NIST Special Publication 800-145., 1–7. Online: https://bit.ly/3baMsA9

Misra, A., Gooze, A., Watkins, K., Asad, M., & Le Dantec, C. A. (2014). Crowdsourcing and Its Application to Transportation Data Collection and Management. Transportation Research Record, 2414(1), 1–8. https://doi.org/10.3141/2414-01

Moghaddam, F. F., Rohani, M. B., Ahmadi, M., Khodadadi, T., & Madadipouya, K. (2015). Cloud computing: Vision, architecture and characteristics. In 2015 IEEE 6th Control and System Graduate Research Colloquium (ICSGRC), 1–6. https://doi.org/10.1109/ICSGRC.2015.7412454

Muttik, I., & Barton, C. (2009). Cloud security technologies. Information Security Technical Report, 14(1), 1–6. https://doi.org/10.1016/j.istr.2009.03.001

Nagy, S., & Csiszár, Cs. (2020). The quality of smart mobility: a systematic review. Scientific Journal of Silesian University of Technology. Series Transport, 109, 117–127. https://doi.org/10.20858/sjsutst.2020.109.11

Neilson, A., Indratmo, Daniel, B., & Tjandra, S. (2019) Systematic Review of the Literature of Big Data in the Transportation Domain: Concepts and Applications. Big Data Research, 17, 35–44. https://doi.org/10.1016/j.bdr.2019.03.001

United Nations (UN). (2019). World Urbanization Prospects – The 2018 Revision. United Nations. Online: https://bit.ly/3bbMeZD

Richter, M. K. (1966). Revealed preference theory. Econometrica, 34(3), 635–645. https://doi.org/10.2307/1909773

Ristenpart, T., Tromer, E., Shacham, H., & Savage, S. (2009). Hey, you, get off of my cloud: exploring information leakage in third-party compute clouds. In CCS ’09: Proceedings of the 16th ACM conference on Computer and communications security (pp. 199–212). https://doi.org/10.1145/1653662.1653687

Saxton, G. D., Oh, O., & Kishore, R. (2013). Rules of Crowdsourcing: Models, Issues, and Systems of Control. Information Systems Management, 30(1), 2–20. https://doi.org/10.1080/10580530.2013.739883

Stieninger, M., & Nedbal, D. (2014). Characteristics of Cloud Computing in the Business Context: A Systematic Literature Review. Global Journal of Flexible Systems Management, 15, 59–68. https://doi.org/10.1007/s40171-013-0055-4

Savu, L. (2011). Cloud Computing: Deployment Models, Delivery Models, Risks and Research Challenges. In: 2011 International Conference on Computer and Management (CAMAN), 1–4. https://doi.org/10.1109/CAMAN.2011.5778816

Sun, W., Zhang, K., Chen, S. K., Zhang, X., & Liang, H. (2007). Software as a Service: An Integration Perspective. In Krämer, B. J., Lin, K. J., & Narasimhan, P. (Eds.), Service-Oriented Computing – ICSOC 2007 (pp. 558–569). Springer. https://doi.org/10.1007/978-3-540-74974-5_52

Ullah, F., & Babar, M. A. (2019). Architectural Tactics for Big Data Cybersecurity Analytics Systems: A Review. Journal of Systems and Software, 151, 81–118. https://doi.org/10.1016/j.jss.2019.01.051

Vecchio, P. D., Secundo, G., Maruccia, Y., & Passiante, G. (2019). A system dynamic approach for the smart mobility of people: Implications in the age of big data. Technological Forecasting and Social Change, 149, 119771. https://doi.org/10.1016/j.techfore.2019.119771

Youseff, L., Butrico, M., & Da Silva, D. (2008). Towards a Unified Ontology of Cloud Computing. In: 2008 Grid Computing Environments Workshop, 1–10. https://doi.org/10.1109/GCE.2008.4738443

Downloads

Published

2022-07-22

How to Cite

Nagy, S. (2022). The motivations for and barriers to cloud technologies in the field of transportation. Institutiones Administrationis - Journal of Administrative Sciences, 2(1), 188–194. https://doi.org/10.54201/iajas.v2i1.26