Abstract
Intelligent Transportation Systems (ITS) use communications and new technology to increase road throughput and optimize the traffic control for increased safety of drivers. This enables people to find services and information which they need to drive more safely and comfortably. Cloud computing is a new technology which can solve many issues such as real-time problem of the urban traffic control system and enable the end users to access the required services on demand without worrying where they actually exist. It delivers everything as a service and is generally termed as XaaS. In this paper, we propose a new system for intelligent traffic systems to manage and improve traffic condition as well as to solve the limited resource issue of car device to monitor and analyze events happening in the way of car by using cloud computing. To achieve this purpose, we use the facilities of Windows Azure and Ajax to implement the system.
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References
Buyyaa, R., Shin Yeoa, C., Venugopala, S., Broberga, J., Brandic, I.: Cloud Computing and Emerging IT Platforms: Vision, Hype, and Reality for Delivering Computing as the 5th Utility. Future Generation Computer Systems 25(6), 599–616 (2009)
Trivedi, P., Deshmukh, K., Shrivastava, M.: Cloud Computing for Intelligent Transportation System. International Journal of Soft Computing and Engineering, IJSCE (2012)
Alipour, B., Mohammad Khanli, L., Mahan, F.: KGIC-ITS, a new system in intelligent transport system with corporation knowledge grid & cloud technology. In: IEEE International Conference on Vehicular Electronics and Safety, Istanbul, Turkey (2012)
Daher, R., Vinel, A.: Roadside Networks for Vehicular Communications. IGI Global (2012) ISBN: 978-1-4666-2224-1
Padmavathi, K., Maneendhar, R.: A Surveying on Road Safety Using Vehicular Communication Networks, Journal of Computer Applications, EICA (2012)
Moustafa, H., Zhang, Y.: Vehicular Networks: Techniques, Standards, and Applications (2009) ISBN:Â 978-1420085716
Baby, D., Sabareesh, R.D., Saravanaguru, R.A.K., Thangavelu, A.: VCR: Vehicular cloud for road side scenarios. In: Meghanathan, N., Nagamalai, D., Chaki, N. (eds.) Advances in Computing & Inf. Technology. AISC, vol. 178, pp. 541–552. Springer, Heidelberg (2012)
Manheim, S., Squillace, R.: Windows Azure Service Bus Reference. Microsoft (2012)
Smith, A.: Windows Azure Service Bus Developer Guide (2011)
Mell. P., Grance, T.: The NIST Definition of Cloud Computing, National Institute of Standards and Technology, Information Technology Laboratory, Technical Report Version 15 (2009)
Buyya, R., Broberg, J., Goscinski, A.: CLOUD COMPUTING Principles and Paradigms. John Wiley & Sons (2011) ISBN 978-0-470-88799-8
Sotomayor, B., Montero, R., Llorente, I., Foster, I.: Virtual infrastructure management in private and hybrid clouds. IEEE Internet Computing, 14–22 (2009)
Nurmi, D., Wolski, R., Grzegorczyk, C., Obertelli, G., Soman, S., Youseff, L., Zagorodnov, D.: The Eucalyptus open-source cloud-computing system. In: Proceedings of IEEE/ACM International Symposium on Cluster Computing and the Grid (2009)
Brunetti, R.: Windows AzureTM Step by Step. O’Reilly Media, Microsoft, USA (2011) ISBN: 978-0-7356-4972-9
Densmore, S., Homer, A., Narumoto, M., Sharp, J., Zhang, H.: Building Hybrid Applications in the Cloud, Microsoft (2012)
http://msdn.microsoft.com/en-us/library/hh680945(v=pandp.50).aspx
Li, S.: A Survey of Urban Traffic Coordination Controls in Intelligent Transportation Systems. IEEE (2012)
Wang, F.: Agent-Based Control for Networked Traffic Management Systems. Intelligent Systems, 92–96 (2005)
Jaworski, P., Edwards, T., Moore, J., Burnham, K.: Cloud Computing Concept for Intelligent Transportation Systems. In: 14th International IEEE Conference on Intelligent Transportation Systems, Washington, DC, USA (2011)
Eltoweissy, M., Olariu, S., Younis, M.: Towards Autonomous Vehicular Clouds. In: Proc. AdHocNets, pp. 1–16 (2010)
Wang, J., Ma, T., Cho, J., Lee, S.: Real Time Services for Future Cloud Computing Enabled Vehicle Networks. WCSP (2011)
Bernstein, D., Vidovic, N., Modi, S.: A Cloud PAAS for High Scale, Function, and Velocity Mobile Applications. In: Proc. the Fifth International Conference on Systems and Networks Communications, pp. 117–123 (2010)
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Karimi, S.N. (2013). AzureITS: A New Cloud Computing Intelligent Transportation System. In: Kołodziej, J., Di Martino, B., Talia, D., Xiong, K. (eds) Algorithms and Architectures for Parallel Processing. ICA3PP 2013. Lecture Notes in Computer Science, vol 8285. Springer, Cham. https://doi.org/10.1007/978-3-319-03859-9_41
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DOI: https://doi.org/10.1007/978-3-319-03859-9_41
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