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dc.contributor.advisorAhmed, Tarem
dc.contributor.authorAhmadullah, Najiba
dc.contributor.authorIslam, Shahpar
dc.date.accessioned2014-11-19T06:31:38Z
dc.date.available2014-11-19T06:31:38Z
dc.date.copyright2014
dc.date.issued2014-08-28
dc.identifier.otherID 10310004
dc.identifier.otherID 10121052
dc.identifier.urihttp://hdl.handle.net/10361/3806
dc.descriptionThis thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2014.en_US
dc.descriptionCataloged from PDF version of thesis report.
dc.descriptionIncludes bibliographical references.
dc.description.abstractRoad traffic congestion is a major issue in most mega cities. The traffic jams are often exacerbated by drivers habitually following the same routes. A real-time, optimum vehicle routing system that takes traffic density into account can be a possible solution to this problem. This paper presents RouteFinder, a system of providing real-time traffic density mapping on the driver’s smartphone using an in-vehicle module built using inexpensive components that communicates with the existing mobile telephone network, to enable the driver to choose the least congested route to a desired destination. The hardware module contains the essential elements of a cellular handset such as a SIM card. The location of the vehicle is determined through a standard triangulation algorithm performed using signals from the three nearest cellular base stations, and the location information is constantly updated at relevant Home Location Registers (HLRs) / Visitor Location Register (VLRs) at the telecom service provider using an intermediate MySQL database. An Android application developed for the driver’s smartphone shows the present locations of all vehicles in all routes from the origin to the selected destination, with colour codes distinguishing between moving and stationary vehicles. We have implemented our device in 10 vehicles in Dhaka city. Our sample calculations have shown significant savings not only in terms of time, but also in fuel consumption.en_US
dc.description.statementofresponsibilityNajiba Ahmadullah and Shahpar Islam
dc.language.isoenen_US
dc.publisherBRAC Universityen_US
dc.rightsBRAC University thesis reports are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission.
dc.subjectElectronics and communication engineeringen_US
dc.subjectMobile phone networken_US
dc.titleRouteFinder : real-time optimum vehicle routing using mobile phone networken_US
dc.typeThesisen_US
dc.contributor.departmentDepartment of Electrical and Electronic Engineering, BRAC University
dc.description.degreeB. Electrical and Electronic Engineering


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