Education, Science, Technology, Innovation and Life
Open Access
Sign In

Cloud-Based Intelligent Transportation System: Reference Model

Download as PDF

DOI: 10.23977/acss.2022.060701 | Downloads: 55 | Views: 1002

Author(s)

Süleyman Nurullah Adahi Şahin 1, Safiye Turgay 2, Orhan Torkul 2

Affiliation(s)

1 Department of Civil Engineering, Sakarya University of Applied Sciences, Sakarya, Turkey
2 Department of Industrial Engineering, Sakarya University, Sakarya, Turkey

Corresponding Author

Süleyman Nurullah Adahi Şahin

ABSTRACT

While the development of technology and internet infrastructure facilitates many aspects of daily life, it does so based on the processes and data running in the background. With the development of information and communication technology, changes and improvements in people's lives have also had a great impact on Intelligent Transportation Systems. Cloud Computing, which was developed for the storage of data that has been made descriptive of the virtual environment with a reference model setup as the first step. This model is aimed to facilitate the data storage, processing, and transfer process required for Intelligent Transportation Systems. In this study, a reference model on passenger occupancy rate, which is a passenger information system from Cloud Computing-based Intelligent Transportation System components, has been created, and this model has offered suggestions in the form of interface improvement for Sakarya Metropolitan Municipality transportation mobile application SAKUS. It is foreseen that these suggestions will have a great impact on the daily life of the passengers in planning their travels and in turning to alternative modes of transportation.

KEYWORDS

Cloud Computing, Intelligent Transportation System, Reference Model, Passenger Information System, Passenger Occupancy Rate

CITE THIS PAPER

Süleyman Nurullah Adahi Şahin, Safiye Turgay, Orhan Torkul, Cloud-Based Intelligent Transportation System: Reference Model. Advances in Computer, Signals and Systems (2022) Vol. 6: 1-9. DOI: http://dx.doi.org/10.23977/acss.2022.060701.

REFERENCES

[1] Liebig, T., Piatkowski, N., Bockermann, C., &Morik, K. (2017). Dynamic route planning with real-time traffic preictions. Information Systems, 64, 258-265.
[2] Ashokkumar, K., Sam, B., &Arshadprabhu, R. (2015). Cloud-based intelligent transport system. Procedia Computer Science, 50, 58-63.
[3] Maccubbin, R. P., Staples, B. L., Kabir, F., Lowrance, C. F., Mercer, M. R., Philips, B. H., & Gordon, S. R. (2008). Intelligent transportation systems benefits, costs, deployment, and lessons learned: 2008 update (No. FHWA-JPO-08-032).
[4] Joszczuk–Januszewska, J. (2011, October). The Advantages of the Use of Cloud Computing in Intelligent Transport Systems. In International Conference on Transport Systems Telematics (pp. 143-150). Springer, Berlin, Heidelberg.
[5] Khair, Y., Dennai, A., & Elmir, Y. (2020, December). A Survey on Cloud-Based Intelligent Transportation System. In International Conference in Artificial Intelligence in Renewable Energetic Systems (pp. 562-572). Springer, Cham.
[6] Bitam, S., & Mellouk, A. (2012, December). Its-cloud: Cloud computing for intelligent transportation system. In 2012 IEEE global communications conference (GLOBECOM) (pp. 2054-2059). IEEE.
[7] SAKUS, Sakarya Metropolitan Municipilty Transportation mobile apphttps: // play. google. com/ store /apps/ details? id=com.sakaryabel.sakus&hl=tr&gl=US Accessed 20.09.2021
[8] Wang, W., Ren, L., Chen, L., & Ding, Y. (2019). Intrusion detection and security calculation in industrial cloud storage based on an improved dynamic immune algorithm. Information Sciences, 501, 543-557.
[9] Turkey National Intelligent Transportation Systems Strategic Report, https: // www. uab. gov. tr/ uploads/ announcements/ulusal-akilli-ulasim-sistemleri-strateji-belgesi-v/ulusal-akilli-ulas-im-sistemleri-strateji-belgesi-ve-2020-2023-eylem-plani-eng.pdf Accessed 20.09.2021
[10] Li, Z., Chen, C., & Wang, K. (2011). Cloud computing for agent-based urban transportation systems. IEEE Intelligent Systems, 26(1), 73-79.
[11] Hsu, C. Y., Yang, C. S., Yu, L. C., Lin, C. F., Yao, H. H., Chen, D. Y., ... & Chang, P. C. (2015). Development of a cloud-based service framework for energy conservation in a sustainable intelligent transportation system. International Journal of Production Economics, 164, 454-461.
[12] Shengdong, M., Zhengxian, X., & Yixiang, T. (2019). Intelligent traffic control system based on cloud computing and big data mining. IEEE Transactions on Industrial Informatics, 15(12), 6583-6592.
[13] Fornaia, A., Napoli, C., & Tramontana, E. (2017). Cloud services for on-demand vehicles management. Information Technology and Control, 46(4), 484-498.
[14] Turgay, S. (2022) Reference Model of Cloud Computing Based Decision Support Hospital Management System, Cloud and Service-Oriented Computing, Clausius Scientific Press, Canada) Vol. 2, DOI: 10.23977/csoc.2022.020101, ISSN 2516-399X Vol. 2, Num. 1
[15] RAI, A., K.R, J.: Universal infrastructure of m2m enabled inter-cloud services for intelligent transportation system. Asian J. Pharm. Clink. Res. 239–243 (2017)
[16] Mathirajan, M., Devadas, R., & Ramanathan, R. (2021). Transport analytics in action: a cloud-based decision support system for efficient city bus transportation. Journal of Information and Optimization Sciences, 42(2), 371-416.
[17] ISO/TC 204. (2015) ISO 14813-1:2015 - Intelligent transport systems – Reference model architecture(s) for the ITS sector – Part 1: ITS service domains, service groups and services. Technical report, International Standard Organization
[18] Transportation association of Canada. (2017) Its architecture for Canada. https://www.itscanada. ca/about/ architecture/ index.html. Accessed 20.09.2021
[19] Jesty, P. H., & Blossom, R. A. (2011, June). Using the frame architecture for planning integrated intelligent transport systems. In 2011 IEEE Forum on Integrated and Sustainable Transportation Systems (pp. 370-375). IEEE.
[20] Thomas, O. (2005, September). Understanding the term reference model in information systems research: history, literature analysis and explanation. In International Conference on Business Process Management (pp. 484-496). Springer, Berlin, Heidelberg.

Downloads: 23450
Visits: 390780

Sponsors, Associates, and Links


All published work is licensed under a Creative Commons Attribution 4.0 International License.

Copyright © 2016 - 2031 Clausius Scientific Press Inc. All Rights Reserved.