Trafficview: a scalable traffic monitoring system

Abstract

Vehicles are part of people's life in modern society, into which more and more high-tech devices are integrated, and a common platform for inter-vehicle communication is necessary to realize an intelligent transportation system supporting safe driving, dynamic route scheduling, emergency message dissemination, and traffic condition monitoring. TrafficView, which is a part of the e-Road project, defines a framework to disseminate and gather information about the vehicles on the road. Using such a system will provide a vehicle driver with road traffic information, which helps driving in situations such as foggy weather, or finding an optimal route in a trip several miles long. This paper describes the basic design of TrafficView and different algorithms used in the system.

Original document

The different versions of the original document can be found in:

• http://www.cs.rutgers.edu/~iftode/trafficview.pdf

• http://www.cs.rutgers.edu/~iftode/trafficview.pdf,

http://discolab.rutgers.edu/traffic/papers/mdm2004.pdf,

https://dblp.uni-trier.de/db/conf/mdm/mdm2004.html#NadeemDLI04,

https://ieeexplore.ieee.org/document/1263039,

http://ieeexplore.ieee.org/document/1263039,

https://doi.org/10.1109/MDM.2004.1263039,

https://academic.microsoft.com/#/detail/2125825081

• http://xplorestaging.ieee.org/ielx5/8923/28243/01263039.pdf?arnumber=1263039,

http://dx.doi.org/10.1109/mdm.2004.1263039