Citation

Neale VL, Doerzaph ZR. Proc. Int. Tech. Conf. Enhanced Safety Vehicles 2009; 2009.

Copyright

(Copyright © 2009, In public domain, Publisher National Highway Traffic Safety Administration)

DOI

unavailable

PMID

unavailable

Abstract

The design objective of the Cooperative Intersection Collision Avoidance System for Violation (CICASV) project is to create a system that presents a timely and salient in-vehicle warning to those drivers who are predicted, by means of an algorithm, to violate a stop-sign or signal-controlled intersection. An on-road test was conducted to evaluate the CICAS-V using naive participants to demonstrate that all systems are mature for a Field Operational Test (FOT). Data were evaluated from 72 naive drivers representing both genders and three age groups who were placed into CICAS-V equipped vehicles to navigate a 2-hour prescribed route through equipped intersections in Virginia. During the prescribed route, drivers crossed 10 stop-controlled and 3 signal-controlled intersections equipped with CICAS-V making a variety of turn maneuvers through each for a total of 52 intersection crossings. The rate at which drivers received correct, false, and missed warnings was evaluated. Results indicate that the algorithms for both stop-controlled and signalized intersections were effective and that the prototype CICAS-V is mature for large-scale tests with naive drivers. Participants in the study who received warnings rated the CICAS-V very favorably and felt that the system would be beneficial. Recommendations were made for continuing with an FOT. Furthermore, the methods for conducting the study were determined to be suitable for an FOT. This study marked the first field test of the CICAS-V with naive drivers. Project participants included offices of the United States Department of Transportation, Daimler, Ford, General Motors, Honda, Toyota, and the Virginia Tech Transportation Institute. The full text of this paper may be found at: http://www-nrd.nhtsa.dot.gov/pdf/esv/esv21/09-0478.pdf