VI. CONCLUSION AND FUTURE WORK In this paper, the VBA* route planning algorithm has
been proposed to dynamically calculate the route that meets the shortest travelling time or the least oil consumption criteria. It adopts two real-time traffic information sources,i.e., the recorded and exchanged traffic information of the road segment that the vehicle has passed through and the traffic information from Google Maps, to find a better route than traditional algorithms that adopt static information only. Snapshots of the implemented GPS navigation app, which is running on the Android platform to realize the VBA* route planning algorithm, are shown. Finally, simulation results of VBA* show its significant reductions on both the average
travelling time and oil consumption of the planned route, as compared to traditional route planning algorithms. In the future, large scale simulations based on real traffic traces will
be executed to observe whether VBA* still outperforms traditional algorithms and to what extent.
VI. CONCLUSION AND FUTURE WORK In this paper, the VBA* route planning algorithm hasbeen proposed to dynamically calculate the route that meets the shortest travelling time or the least oil consumption criteria. It adopts two real-time traffic information sources,i.e., the recorded and exchanged traffic information of the road segment that the vehicle has passed through and the traffic information from Google Maps, to find a better route than traditional algorithms that adopt static information only. Snapshots of the implemented GPS navigation app, which is running on the Android platform to realize the VBA* route planning algorithm, are shown. Finally, simulation results of VBA* show its significant reductions on both the averagetravelling time and oil consumption of the planned route, as compared to traditional route planning algorithms. In the future, large scale simulations based on real traffic traces willbe executed to observe whether VBA* still outperforms traditional algorithms and to what extent.
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