PI: Derrick Parkhurst
Funding Agency: Iowa Department of Transportation
Summary: Commercially available instruments for road-side data collection purposes take highly limited measurements, require extensive manual input or are too expensive for widespread use. However, inexpensive computer vision techniques for digital video analysis can be applied to automate the monitoring of driver, vehicle and pedestrian behaviors.
These techniques can measure safety related variables that cannot be easily measured using existing sensors.
The use of these techniques will lead to an improved understanding of the decisions made by drivers at intersections. These automated techniques will allow the collection of large amounts of safety related data in a relatively short amount of time. For example, frequently occurring events such as near misses or quick stops can be recorded at intersections. There is a need to develop an easily deployable system to utilize these new techniques. This project will implement and test a digital video analysis system for use at intersections.
Related News & Announcements:
03-01-2006
Students display research at Capitol
03-01-2006
Students Share Research
09-15-2005
Software could analyze driver behavior
09-09-2005
Iowa State researchers focus an electronic eye on driver behavior
|
