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Title:

INTELLIGENT TRANSPORTATION SYSTEMS: A TWO-EDGED SWORD FOR OLDER DRIVERS?

Accession Number:

00778964

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/0309071054

Abstract:

Intelligent transportation systems (ITSs), in particular advanced traveler information systems (ATISs) and advanced vehicle control and safety systems (AVCSSs), are said to offer the opportunity to compensate for age-related reductions in sensory, perceptual, cognitive, and physical functions, making roadways safer and more accessible for all users. Closer examination reveals that these systems can be a two-edged sword. To enhance the safety of older drivers, ITSs must compensate not only for the measurable decreases in sensory and physical functions but also for the qualitative changes to cognitive processing that accompany aging. Age-related cognitive performance decrements on complex tasks, divided attention, and multiple tasks reduce the ability of older drivers to smoothly integrate concurrent driving subtasks. Several models of age effects on cognitive function are discussed. A variable-priority multiple-task training strategy is suggested as the most appropriate technique for training older drivers to use new ITS technologies and to develop compensatory cognitive skills. It is concluded that careful research and design, as well as comprehensive training programs, are needed for ITSs to usefully augment the diminished capabilities of some older drivers and enhance their safety. Typical ATISs and AVCSSs are evaluated in the context of the age-related cognitive shift, implementation issues are discussed, and recommendations are made to include older drivers in the development of an extensive training program and in an ergonomic assessment of the cognitive aspects of ITS implementation.

Supplemental Notes:

This paper appears in Transportation Research Record No. 1679, Intelligent Transportation Systems, Vehicle-Highway Automation, and Artificial Intelligence.

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Henderson, S
Suen, S L

Pagination:

p. 58-63

Publication Date:

1999

Serial:

Transportation Research Record

Issue Number: 1679
Publisher: Transportation Research Board
ISSN: 0361-1981

ISBN:

0309071054

Features:

References (33)

Subject Areas:

Highways; Operations and Traffic Management; Planning and Forecasting; Research; I72: Traffic and Transport Planning

Files:

TRIS, TRB, ATRI

Created Date:

Nov 30 1999 12:00AM

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