GPS Sensing Systems and Fuzzy Rules to Improve Urban Navigation Assistance and Planning

Abstract

Mobile navigation assistance is effective if the paths to destination are chosen taking into account the current traffic flows. Also, personal and social data dealing with the current user status/task and citizen preferences should be taken into account to suggest the most appropriate services. To this aim, the paper proposes a mobile recommending system able to suggest minimum travel time paths to destination taking into account the current traffic conditions and to recommend the services most suitable to the user needs. Such recommending system works using logic rules instead of procedural algorithms, whereas the traffic monitoring system is obtained by means of the GPS signals received from the mobiles of the users. Also, the proposal provides a way to compute the Origin Destination Matrix and to optimize the parameters of the adopted traffic simulation model to increase the model reliability in predicting if novel traffic infrastructures and policies are able to decrease the time spent in the vehicles and the gasoline consumption.

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