Predicting crash-relevant violations at stop sign-controlled intersections for the development of an intersection driver assistance system

Objective: Intersection crashes resulted in over 5,000 fatalities in the United States in 2014. Intersection Advanced Driver Assistance Systems (I-ADAS) are active safety systems that seek to help drivers safely traverse intersections. I-ADAS uses onboard sensors to detect oncoming vehicles and, in...

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Bibliographic Details
Published in:	Traffic injury prevention Vol. 17; no. sup1; pp. 59 - 65
Main Authors:	Scanlon, John M., Sherony, Rini, Gabler, Hampton C.
Format:	Journal Article
Language:	English
Published:	England Taylor & Francis 12.09.2016 Taylor & Francis Ltd
Subjects:	Accidents, Traffic - prevention & control Alarms Algorithms Automobile Driving - psychology Braking Crashes Data Deceleration Delayed driver assistance systems Driver behavior Drivers Environment Design - statistics & numerical data False alarms Humans I-ADAS Impending Intersection Intersections Mathematical models Models, Theoretical Plugs Prediction models Protective Devices Regression analysis Reproducibility of Results Safety systems Traffic accidents & safety United States Vehicles Violations Weighting United States > US USA Intersection I-ADAS driver assistance systems violations
ISSN:	1538-9588, 1538-957X
Online Access:	Get full text
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