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dc.contributor.authorAhmadullah, Najiba
dc.contributor.authorIslam, Shahpar
dc.contributor.authorAhmed, Tarem
dc.identifier.citationAhmadullah, N., Islam, S., & Ahmed, T. (2016). RouteFinder: Real-time optimum vehicle routing using mobile phone network. Paper presented at the IEEE Region 10 Annual International Conference, Proceedings/TENCON, , 2016-January doi:10.1109/TENCON.2015.7372741en_US
dc.descriptionThis conference paper was presented in the 35th IEEE Region 10 Conference, TENCON 2015; Holiday Inn, Sands Cotai CentralMacau; Macau; 1 November 2015 through 4 November 2015 [© 2015 Institute of Electrical and Electronics Engineers Inc.] The conference paper's definite version is available at: http://10.1109/TENCON.2015.7372741en_US
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.publisher© 2015 Institute of Electrical and Electronics Engineers Inc.en_US
dc.titleRouteFinder: real-time optimum vehicle routing using mobile phone networken_US
dc.typeConference Paperen_US
dc.contributor.departmentDepartment of Electrical and Electronic Engineering

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