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Crowd Sourced Intelligent Route Planner

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dc.contributor.author Idrees, Sarmad
dc.contributor.author Rafique, Atif
dc.contributor.author MunibUllah
dc.contributor.author supervised by Dr. Hammad Afzal
dc.date.accessioned 2020-11-13T05:11:31Z
dc.date.available 2020-11-13T05:11:31Z
dc.date.issued 2016-05
dc.identifier.other PCS-301
dc.identifier.uri http://10.250.8.41:8080/xmlui/handle/123456789/11624
dc.description.abstract The project is a Mobile (Android) application which will integrate with the Google Maps and will give the best route with minimum ETA (Estimated Time of Arrival) to a particular destination (selected by a user). It will use the Users Mobile GPS to track him/her on the route and calculate the time (wherever he is going) and will save/Upload that time taken on that specific time of day to the Application server which will later be provided to the other users. It is totally crowd sourced application but initially the school/office timings of the city will be added to the application server which will have a certain amount of uncertainity in the ETA provided. As the users will grow in number and start to travel using the application, the timings will get better. The application is tested on the functionality of providing the ETA from the App server, the connectivity to the server, the time recording mechanism and interfacing with the google Maps. The time provided by the app will depend on the number of users actively participating in provding route data. en_US
dc.language.iso en en_US
dc.publisher MCS en_US
dc.title Crowd Sourced Intelligent Route Planner en_US
dc.type Technical Report en_US


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