Due to current significant increases in population and consequently in traffic congestion in most metropolitan cities in the world, designing of an intelligent traffic management system (ITMS) in order to detect the path with the shortest travel time is critical for emergency, health, and courier services. The aim of this research study was to develop a theoretical traffic detection system and capable of estimating the travel time associated with each street segment based on the traffic data updated every 20 seconds, which successively finds the path with the shortest travel time in the network by using a dynamic programming technique. Furthermore, in this study we model the travel time associated with each street segment based on the historical and real time data considering that the traffic speed on each road segment is piecewise constant. It would be useful to implement such algorithms in GIS systems such as Google map in such a way that the service delivery drivers can avoid congested routes by receiving real time traffic information.
IoT, GPS, GIS, ITMS
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