Summary Report: Cooperative Adaptive Cruise Control Human Factors Study

Inman, Vaughan W.; Balk, Stacy A.; Jackson, Steven; Philips, Brian H.; Leidos

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Summary Report: Cooperative Adaptive Cruise Control Human Factors Study

2017-12-01
By Inman, Vaughan W. ; Balk, Stacy A. ; Jackson, Steven ; ...

[PDF-1.55 MB]

English

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Details:

Alternative Title:

Summary Report: Cooperative Adaptive Cruise Control Human Factors Study
Creators:

Inman, Vaughan W. ; Balk, Stacy A. ; Jackson, Steven ; Philips, Brian H.

Inman, Vaughan W. ; Balk, Stacy A. ; Jackson, Steven ; Philips, Brian H. Less -
Corporate Creators:

Leidos
Contributors:

Yang, C. Y. David
Corporate Contributors:

United States. Federal Highway Administration. Office of Safety
Subject/TRT Terms:

[+]

Autonomous Intelligent Cruise Control Cooperative Adaptive Cruise Control Crash Avoidance Systems Driving Simulators Human Factors
Publication/ Report Number:

FHWA-HRT-17-025 ; HRDS-30/12-17(WEB)E

FHWA-HRT-17-025 ; HRDS-30/12-17(WEB)E Less -
Resource Type:

Tech Report
Geographical Coverage:

United States
OCLC Number:

1038068804
Contracting Officer:

Yang, David
Corporate Publisher:

United States. Federal Highway Administration. Office of Safety
Abstract:

This summary report provides a high-level overview of four experiments that investigated human factors issues surrounding cooperative adaptive cruise control (CACC). CACC combines three driver assist systems: (1) conventional cruise control, which automatically maintains the speed a driver has set, (2) adaptive cruise control, which uses radar or light detection and ranging sensors to automatically maintain a gap the driver has selected between the driver’s vehicle and a slower-moving vehicle ahead, and (3) dedicated short-range communications to transmit and receive data with surrounding vehicles so that the cruise control system can more quickly respond to changes in speed and location of other CACC vehicles, even vehicles that the driver cannot see.

This report describes a series of experiments that examined how use of a CACC affected drivers’ workload, propensity to distraction, level of physiological arousal, ability to avoid a crash, merging abilities, and trust in the system.

The first experiment compared driving with CACC in a string of four or five vehicles with manual control of the following distance in the same strings. The second experiment explored driver performance when merging into a string of CACC vehicles. The third experiment took a closer look at the source of a substantial crash reduction benefit obtained with CACC in the first experiment. The fourth experiment examined the effect of a driver’s preferred following distance on performance and workload when using short and long CACC gap settings.
Format:

PDF
Funding:

DTFH61-13-D-00024
Collection(s):

Federal Highway Administration
Main Document Checksum:

[+]

urn:sha256:a06cef4e40537aa743efba0cf8c6a447f8c51f2fa8c541f5428991138e46a246
Download URL:

https://rosap.ntl.bts.gov/view/dot/37823/dot_37823_DS1.pdf
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Summary Report: Cooperative Adaptive Cruise Control Human Factors Study

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