A Dynamic Navigation System with Distributed Mobile Sensors

This thesis studies a new approach of real time navigation which acquires real time traffic flow information by treating every user in the road network as a sensor, and collecting the information like speed and location from every sensor. Then in this thesis, because of the lack of real world platform to run the test, a simulation experiment is established to see whether the assumption is correct. The result of the simulation experiment shows that with real time traffic congestion condition being known, the new navigation approach has recommended the better routing path for moving objects then basic navigation approach, with only distant and road classes being know. The last part of this thesis brings up a future vision with user-preference-learning mechanism which can provide better navigation recommendation to suit users’ behavior.