Traffic management is an important tool to relieve congestion problems. For traffic management knowledge about the current traffic situation is essential. Normally, the data that is used to keep traffic operators informed about the current traffic situations, comes from one or more sources, but is not integrated. For example: camera’s send their images to the control centre and loop detectors generate data about flows and speeds, but they are shown and used in different ways. The question now is if it is possible to integrate data from different sources (data fusion) in such a way that a better and more complete picture of the current traffic situation is obtained.
Start date:
January 1, 2007
Research topic:
Remaining topics
Related projects:
Data fusion of loop detection and travel time measurements
In-vehicle sensor data for traffic management
In-vehicle sensor data for traffic management II