DIRECT Operational Field Test Evaluation: Natural Use Study: Part 2: Driver Satisfaction in DIRECT Controlling for Reliability

Underwood, Steven Eugene; Reed, Thomas B.; Richeson, Rebecca; Hanafi, Taufik

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DIRECT Operational Field Test Evaluation: Natural Use Study: Part 2: Driver Satisfaction in DIRECT Controlling for Reliability

1998-08-01
By Underwood, Steven Eugene ; Reed, Thomas B. ; Richeson, Rebecca

File Language:

English

Details

Alternative Title:

Driver Information Radio using Experimental Communication Technologies
Creators:

Underwood, Steven Eugene ; Reed, Thomas B. ; Richeson, Rebecca ; Hanafi, Taufik
Corporate Creators:

University of Michigan. Intelligent Transportation Systems Research Laboratory
Corporate Contributors:

Michigan. Dept. of Transportation ; Michigan. Traffic and Safety Division
Subject/TRT Terms:
Publication/ Report Number:

EECS-ITS LAB-DT98-001
Resource Type:

Tech Report
Geographical Coverage:

Detroit (Michigan)
TRIS Online Accession Number:

00929011
Corporate Publisher:

University of Michigan. Intelligent Transportation Systems Research Laboratory
NTL Classification:

NTL-INTELLIGENT TRANSPORTATION SYSTEMS-INTELLIGENT TRANSPORTATION SYSTEMS ; NTL-INTELLIGENT TRANSPORTATION SYSTEMS-Information Management ; NTL-PLANNING AND POLICY-Surveys
Abstract:

This report describes the DIRECT Driver Information Radio using Experimental Communication Technologies field test which was designed to evaluate the user benefits, institutional issues, and technical issues of en-route driver advisory and traveler information services. Focus was on testing and evaluating the voice-based communication systems that direct: 1) basic services at a minimal incremental cost to the traveler; and, 2) high potential for operational deployment. Four different systems were compared. They include: 1) Low Power Highway Advisory Radio (LPHAR), 2) Automatic Highway Advisory Radio (AHAR), 3) Cellular Telephone Call-in System, and 4) Radio Broadcast Data System (RBDS). Using survey and interview data, the evaluations were conducting, using principal component analysis and regression analysis.
Format:

PDF
Funding:

94-1519 DAB
Download URL:

https://rosap.ntl.bts.gov/view/dot/2373/dot_2373_DS1.pdf
File Type:

[PDF - 801.44 KB]
Collection(s):

ITSJPO Digital Library
Main Document Checksum:

urn:sha256:a07850b84267a2b6b349ff8f1a9536d8e62314aa279e40e354dc6d26576715f3

File Language:

English

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