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Title:

RADAR DETECTION OF VEHICLES IN A STRING: GAINING SITUATION AWARENESS OF A PROPAGATING CONFLICT

Accession Number:

00824558

Record Type:

Component

Availability:

Transportation Research Board Business Office

500 Fifth Street, NW
Washington, DC 20001 United States

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Order URL: http://worldcat.org/isbn/0309072379

Abstract:

A database of empirical driving measurements is employed to compute the situation awareness benefit of a driver-assistance function that uses the ability of radar to detect targets several deep in a string of vehicles ahead in the same lane. The database resulted from a new roadside video imaging method that has yielded the complete X-Y trajectories, state response variables, and intervehicular motion relationships of 30,500 vehicles on a segment of five-lane arterial street. These data were compiled as a relational database, and queries were run for detecting all cases in which a string of three vehicles is disturbed by a conflict that arises in the leading vehicle pair. Computations reveal, through distributions of the actual motion responses, the larger time cushion that would be available if any following driver in a string became aware of an impending headway conflict as soon as it develops ahead of the preceding vehicle. Results show the value to the following driver that might accrue from a crash-warning function that employs such anticipatory detection. The results indicate that the threat of rear-end crashes in vehicle strings could be mitigated by driver-assistance devices that sense range and range-rate relationships several deep in the string. Because most modern radar technologies have some degree of this capability but do not use it, the results encourage the development of crash-warning applications based on the look-ahead feature.

Supplemental Notes:

This paper appears in Transportation Research Record No. 1779, Traffic Safety 2001: Americans with Disabilities Act; Driver and Vehicle Modeling; Situation Awareness; Licensing; Driver Behavior; Enforcement; Trucks; and Motorcycles.

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Ervin, R
Bogard, S
Fancher, P S

Pagination:

p. 33-39

Publication Date:

2001

Serial:

Transportation Research Record

Issue Number: 1779
Publisher: Transportation Research Board
ISSN: 0361-1981

ISBN:

0309072379

Features:

Figures (8) ; References (11)

Subject Areas:

Highways; Safety and Human Factors; Security and Emergencies; I83: Accidents and the Human Factor

Files:

TRIS, TRB

Created Date:

Feb 12 2002 12:00AM

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