With popularity of smart city and Internet of things, world is moving toward smart things. IoT is one of the promising technologies that stacks for achieving smart city objectives. There are some issues need to address for achieving smart city dreams like traffic control, traffic routing, parking management and vehicle theft. Internet of Things (IoT) is a very promising technology to stack that helpful in the connectivity between surrounding environmental things or objects to internet and makes easy to sense and analyze data & access those things from any remote location. We have developed the experimental system which can address all above mention issues with greater accuracy. As traffic and parking management problems are interdependent, experimental system make use of data sense by all mean for providing prediction and intelligence for traffic management & efficient parking management. Experimental system also able to convey user about vehicle theft so user can take preventive actions. Our experimental system uses various parameters like visitor's destination in city, traffic flow, route congestion for providing suggestion for parking to user.


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    Title :

    Internet of Things Approach for Smart City Traffic Control, Parking Management, and Vehicle Theft Control


    Contributors:


    Publication date :

    2019-11-01


    Size :

    1120532 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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