Estimating Bus Passengers' Origin Destination Travel Route using Data Analytics on Wi-Fi and Bluetooth Signals

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Traffic congestion in major cities significantly contributes to delays for the public as well as for businesses that rely heavily on roadtransportation of goods and services. It is clearly understood that public transportation is the most import mode of travel to reducetraffic congestion and make efficient use of existing roads. As traffic congestion is increasing rapidly, public transportation isgetting more attention and major cities are investing more on public transportation. To encourage greater use of publictransportation and to switch from private vehicles, this mode of transportation must be well-designed, reliable and comfortable.Among different factors, transit passengers OriginDestination (OD) data is a fundamental prerequisite for the design and efficientoperation of any public transportation system. However, obtaining this data is problematic and expensive in general, especially inlarge cities with widespread public transport routes. The aim of this project is to develop a technology to anonymously collect andanalyse bus passengers OD data in real-time based on detection of passengers cell phones Wi-Fi and Bluetooth signals. Thedeveloped algorithms will result in increased efficiency of public transportation systems of cities and towns by efficiently using thebus capacities lowering operation costs of cities, shortening passengers wait time, and improving the ride comfort.