Conflicts Analysis of Smart City Services using Live Data using Cloud

Shirsha das, Smt. Kashibai Navale College of Engineering, Pune; Ankit Jiwani ,Smt. Kashibai Navale College of Engineering, Pune; Harsha Patil ,Smt. Kashibai Navale College of Engineering, Pune; Apurva Dhar ,Smt. Kashibai Navale College of Engineering, Pune

Cloud Computing, Data Mining, Web Mining, Container Virtualization, Machine Learning

As the population of cities around the world is increasing at a rapid pace, cities have started addressing this problem by the implementation of significant sensing and actuation infrastructure and building services on this infrastructure. Potential for conflicts across Smart City services increases with the increasing density of sensing and actuation and growing complexities of services. These conflicts can cause unsafe situations and disrupt the benefits that the services that were originally intended to provide. The proposed system detects and analyses the runtime conflict in smart city transportation services using real-time data feed. We will prepare an architecture, which will focus on conflict that arises on these services. 1. Train 2.Tube 3.Bus our architecture solution identifies the conflict and provides broad perspective to decision making aspect of services.
    [1] Ma; S. Masud Preum; W. Tarneberg; M. Ahmed; M. Ruiters; J. Stankovic., “Detection of Runtime Conflicts among Services in Smart Cities” DOI: 10.1109/SMARTCOMP.2016.7501688, 2016. [2] L.Sanchez, L.Mu˜noz, J. A.Galache, P.Sotres, J. R.Santana, V.Gutierrez,R.Ramdhany, A. Gluhak, S. Krco, E. Theodoridis et al., “Smart Santander: Iot experimentation over a smart city testbed,” Computer Networks ,vol. 61, pp. 217–238, 2014. [3] Perera, A. Zaslavsky, P. Christen, and D. Georgakopoulos, “Sensing as a service model for smart cities supported by internet of things, ”Transactions on Emerging Telecommunications Technologies, vol. 25,no. 1, pp. 81–93,2014.. [4] S. Zygiaris, “Smart city reference model: Assisting planners to conceptualize the building of smart city innovation ecosystems,” Journal of the Knowledge Economy, vol. 4, no. 2, pp. 217–231, 2013. [5] Bask, K. Spens, G. Stefansson, and K. Lumsden, “Performance issues of smart transportation management systems,” International Journal of Productivity and Performance Management, vol. 58, no. 1, pp. 55–70, 2008. [6] J. Chinrungrueng, U. Sunantachaikul, and S. Triamlumlerd, “Smart parking: An application of optical wireless sensor network,”in SAINT Workshops 2007. International Symposium on Applications and the Internet Workshops, 2007. IEEE, 2007, pp. 66–66.M. I. Ali, F. Gao , and A. Mileo, “City bench: A configurable benchmark to evaluate rsp engines.
Paper ID: GRDJEV03I070032
Published in: Volume : 3, Issue : 7
Publication Date: 2018-07-01
Page(s): 24 - 28