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Title:

Methods and Metrics of Evaluation of an Automated Real-time Driver Warning System

Abstract:

In this work, funded by the California Office of Traffic Safety and the California DOT (Caltrans), we build upon prior research to develop, deploy and test various metrics and methods to evaluate a large-scale real-time driver warning system, the Caltrans Automated Warning System (CAWS), installed on Interstate 5 and State Route 120, near Stockton, California. Methods include the analysis of historical accident data over an 11 year period, a direct assessment of the operational behavior of the system correlated with accident data, and a study of the direct effects of real-time warning messages on driver behavior.

Source(s):

84th Transportation Research Board (TRB) Annual Meeting, California Polytechnic State University. For an electronic copy of this resource, please direct your request to WeatherFeedback@dot.gov.

Date: 2005

Author:

MacCarley

Keywords:


Crashes
Driver behavior
Safety

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