Author
Ishak Sherif; Osama A. Osman; Matthew Theriot; Peter Bakhit; Sogand Karbalaieali; Saleh Mousa
Benefit Summary HTML

Connected Vehicle (CV) technology has many promising features and applications for detecting dangerous driving scenarios and providing warning messages to drivers. The effectiveness of these warning systems is dependent on the vehicles’ ability to communicate with other surrounding vehicles. Therefore vehicles within range must also be equipped with CV technology. Due to this limitation, the effectiveness of CV safety applications is dependent on the market penetration (MP) of CVs within the network. This study evaluates the effectiveness of three CV safety applications, namely: Blind Spot Warning (BSW), Forward Collision Warning (FCW), and Do Not Pass Warning (DNPW) applications at different MP rates using a driving simulator test bed that was developed in the driving simulator laboratory at Louisiana State University (LSU) that allows vehicles to communicate and transmit warning messages within the virtual environment.

The simulator environment provided drivers with visual and auditory warnings for BSW and DNPW but omitted auditory warnings from the FCW application. User surveys were also collected from the participants.

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Prepared by Louisiana State University for the Louisiana Department of Transportation and Development
Result Type
Title
Development of a Simulation Test Bed for Connected Vehicles using the LSU Driving Simulator
Project Category
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