Cloud Computing for Urban Transportation Syste

Authors

  • Eka Angga Laksana Informatics Engineering Department Widyatama University Bandung, Indonesia Author

DOI:

https://doi.org/10.61841/x8kvas13

Keywords:

transportation, cloud, traffic, challenges

Abstract

Todays with the rapid growth of city, transportation is becoming more complex environment. People face different problem on their daily life while by going to work, study, recreation etc. Hence, transportation play a vital role by carrying people from one place to other. Government need to solve transportation problem like traffic jam to make people can travel effectively. Not only government responsibility, but also people needs to participate because they share the same public infrastructure. Different type of cloud computing can become used to minimize the impact of traffic jam. This paper describes different type of cloud computing including the environment to build one. We also describe several challenges in order to implement cloud computing in urban transportation system. 

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References

[1] ZhenJiang, L. Cheng, C. “Cloud Computing for Agent-Based Urban Transportation System,” IEEE Intelligent

Systems, vol. 26, no. 1, 2011, pp. 73-79.

[2] Necula, E. Necula, R. Iftene, A. “Distributed Traffic Management System,” Symbolic and Numeric Algorithms for

Scientific Computing (SYNASC), 2010 12th International Symposium, Sep. 2010, pp. 159-166.

[3] A.S.Tanenbaum, and M.V.Steen. Distributed System Principles & Paradigms, 1-633, Prentice Hall. Upper Saddle River: United States, 2007.

[4] Prakash, G., Darbandi, M., Gafar, N., Jabarullah, N.H., & Jalali, M.R. (2019) A New Design of 2-Bit Universal

Shift Register Using Rotated Majority Gate Based on Quantum-Dot Cellular Automata Technology, International Journal of Theoretical Physics, https://doi.org/10.1007/s10773-019-04181-w.

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Published

29.02.2020

How to Cite

Angga Laksana, E. (2020). Cloud Computing for Urban Transportation Syste. International Journal of Psychosocial Rehabilitation, 24(1), 4555-4560. https://doi.org/10.61841/x8kvas13