Updating and Querying Databases that Track Mobile Units
Distributed and Parallel Databases - Special issue on mobile data management and applications
A Technique for Information Sharing using Inter-Vehicle Communication with Message Ferrying
MDM '06 Proceedings of the 7th International Conference on Mobile Data Management
Robust traffic merging strategies for sensor-enabled cars using time geography
Proceedings of the 17th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
Evaluation of data reduction techniques for vehicle to infrastructure communication saving purposes
Proceedings of the 16th International Database Engineering & Applications Sysmposium
| Hi-index | 0.00 |
In this paper, we consider a traffic information sharing system based on Floating Car Data (FCD). FCD is one of the methods used to gather traffic information; it uses vehicles as sensor nodes that transmit their speed to the server. The traffic information sharing system broadcasts speed information updated by such transmission. Vehicles receiving broadcasted speed information can calculate travel time and select a minimum time route. The communication cost and the load of the server are issues, because such a traffic information sharing system can generate a lot of wireless communication between the vehicles and the server [2][3]. However, reducing the amount of communication lowers the accuracy of information provided by the server. In this paper we propose an Information Cost Model to quantify a trade-off relationship between the communication cost of the system and the accuracy of information. Additionally, we propose a randomized method to reduce the number of messages from clients to the server by avoiding redundant transmissions. We compared the performance of our proposed method with that of a conventional method, using real traffic data from Chicago highways. The result shows that our proposed method generally outperforms the conventional method.