FREQUENCY OF REAR-END COLLISION WARNINGS BASED ON FIELD OPERATIONAL TEST DRIVING DATA
This paper reports the results of a study using braking event data recorded from manual driving situations to evaluate the performance of a collision avoidance warning algorithm, i.e., the proportion of times a collision-avoidance alarm would have sounded before typical braking incidents during normal driving. The everyday driving data were collected for the National Highway Traffic Safety Administration (NHTSA) as part of a field operational test (FOT) of an Intelligent Cruise Control system conducted by the University of Michigan Transportation Research Institute (UMTRI). Using a NHTSA warning-time algorithm, the study determined the number of times the warning alarm would have sounded before the driver applied the brakes, had it been installed, for each of the 108 drivers in the FOT. This paper presents the number of such alarms grouped by driver age, gender, and driving style, and draws conclusions about the collision avoidance warning logic. (A*) For the covering abstract see ITRD E110327.
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Corporate Authors:
1100 17th Street, NW, 12th Floor
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Authors:
- Glassco, R A
- Burgett, A
- CHANDE, A
- Conference:
- Publication Date: 1999
Language
- English
Subject/Index Terms
- TRT Terms: Behavior; Braking; Calculation; Conferences; Crash avoidance systems; Driver support systems; Drivers; Intelligent transportation systems; Methodology; Motor vehicle navigational aids; Prevention; Safety; Warning systems
- ITRD Terms: 1661: Accident prevention; 1451: Adaptive cruise control; 9001: Behaviour; 1874: Braking; 6464: Calculation; 8525: Conference; 1772: Driver; 8743: Driver assistance system; 8735: Intelligent transport system; 9102: Method; 9113: Warning
- Subject Areas: Operations and Traffic Management; Safety and Human Factors; Security and Emergencies;
Filing Info
- Accession Number: 00819058
- Record Type: Publication
- Source Agency: Transport Research Laboratory
- Files: ITRD
- Created Date: Nov 7 2001 12:00AM