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With the advent of Advanced Driver Assistance Systems (ADAS), there is anincreasing need to evaluate driver behavior while using such technology. Inthis unique study, a forward collision warning (FCW) system using connectedvehicle technology, was introduced in a driving simulator environment, toevaluate driver braking behavior and then the results are validated using datafrom field tests. A total of 93 participants were recruited for this study, forwhich a virtual network of South Baltimore was created. A one sample t-test wasconducted, and it was found that the mean reduction in speed of 15.07 mph postFCW, is statistically significant. A random forest, machine learning algorithmwas found to be the best fit for ranking the most important variables in thedataset by order of importance. Field data obtained from the University ofMichigan Transportation Research Institute (UMTRI), substantiated the FCWfindings from this driving simulator study.

Forward Collision Warning Systems: Validating Driving Simulator Results with Field Data