Smart Parking System

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dc.contributor.author Yadavalli, Siri Chandana
dc.date.accessioned 2016-04-22T20:05:13Z
dc.date.available 2016-04-22T20:05:13Z
dc.date.issued 2016-05-01 en_US
dc.identifier.uri http://hdl.handle.net/2097/32653
dc.description.abstract Locating a parking spot during peak hours in most populated areas like shopping malls, universities, exhibitions or convention centers is difficult for the drivers. The difficulty rises from not knowing where the available spots may be at that required time. Smart parking is a solution to metropolitan cities to reduce congestion, cut vehicle emission totals and save persons' time by helping them in finding a spot to park. Smart Parking is a parking system, usually a new one that is equipped with special structured devices (things) to detect the available parking slots at any parking area. This is an application based on Internet of Things (IoT) that in Real-Time environment have sensors and devices embedded into parking spaces, transmitting data on the occupancy status; and the vehicle drivers can search for parking availability using their mobile phones or any infotainment system that is attached to the vehicle. Hence the driver would know where there is an available spot to park his vehicle in less time, reducing the energy consumption and air pollution. The Client or the sensor posts the parking slot occupancy status to a web service URL. The Java based web service is built using Spring and Hibernate to connect to the backend system. The web service (.war) file is deployed on Apache Tomcat Server and the backend used is MySQL database. en_US
dc.language.iso en_US en_US
dc.publisher Kansas State University en
dc.subject Smart Parking System en_US
dc.subject Web Application en_US
dc.subject Spring en_US
dc.subject Hibernate en_US
dc.subject RESTful Web Services en_US
dc.subject JavaScript en_US
dc.title Smart Parking System en_US
dc.type Report en_US
dc.description.degree Master of Science en_US
dc.description.level Masters en_US
dc.description.department Department of Computing and Information Sciences en_US
dc.description.advisor Daniel A. Andresen en_US
dc.date.published 2016 en_US
dc.date.graduationmonth May en_US


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