NTL Record

Title Driver Acceptance of Connected, Automation-Assisted Cruise Control : Experiment 1
Record ID 65509
Personal Name
Creator
Inman, Vaughan W.; Jackson, Steven; Chou, Peter
Corporate Creator Leidos
Corporate
Contributor
United States. Federal Highway Administration. Office of Safety Research and Development; United States. Department of Transportation. Federal Highway Administration. Turner-Fairbank Highway Research Center
Publisher United States. Federal Highway Administration. Office of Safety Research and Development
Publication Date 20180701
Language English
Abstract The results and conclusions of an initial experiment that examined human-factors issues in the use of adaptive cruise control (ACC) and a hypothetical cooperative ACC (CACC) in which ACC supplemented with vehicle-to-vehicle (V2V) communications to extend ACC capabilities. In this driving simulator–based experiment, the CACC system was modeled to accelerate and decelerate less aggressively when the ACC radar lost track of the vehicle ahead on a curve. In addition to testing driver responses to two cruise-control systems, three cruise-control displays were tested. One display showed only whether cruise control was turned on or off. A second display showed not only whether the display was on or off, but also whether the system was tracking another vehicle. A third display incorporated a video of the road ahead with the second display and indicated which vehicle was being tracked. Drivers of the CACC-equipped vehicle rated their trust in cruise control higher than drivers of the ACC-equipped vehicle did. Drivers looked at the second and third display types about 2 percent of the time. However, no glance longer than 0.73 s to any cruise-control display was observed. It was concluded that supplementing ACC with V2V communications may increase system use relative to ACC and provide additional safety benefits. Providing ACC tracking information similar to that provided in this study does not appear to distract drivers; however, additional testing in more complex driving environments is recommended. This research should be of interest to researchers and developers of Level 1–automated systems.
Rosap ID dot:37529
Rosap URL https://rosap.ntl.bts.gov/view/dot/37529
TRT Terms Autonomous intelligent cruise control; Driver performance
General Subjects Automobiles--Automatic control; Motor vehicle driving--United States--Automation
Geographical
Coverage
United States
OCLC 1046681337
Contract Number DTFH61-13-D-00024
Report Number FHWA-HRT-18-041; HRDS-30/07-18(WEB)E
Resource type Tech Report
URL https://ntlrepository.blob.core.windows.net/lib/65000/65500/65509/FHWA-HRT-18-041.pdf
Format PDF
Database NTL Digital Repository