The Roadside Inspection Selection System (ISS) for Commercial Vehicles
The Inspection Selection System (ISS) was developed as part of the ASPEN roadside inspection software system, in response to a 1995 Congressional mandate calling for the use of prior carrier safety data to guide the selection of vehicles and drivers for roadside inspections. The ASPEN system includes software to help conduct roadside commercial vehicle/driver inspections with portable microcomputers, including hand-held pen-computers. ASPEN includes electronic transfer of inspection results, and electronic access to carrier safety performance data and commercial driver license status data. In short, the ISS is designed to help better distribute roadside inspections among motor carriers and target those with prior poor safety performance. This document includes: Purpose and definition of the ISS; Development of the ISS; Detailed explanation of the ISS; Testing and refinement of the ISS; Discussion of benefits; and Evaluation survey results.
- Record URL:
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Corporate Authors:
Upper Great Plains Transportation Institute
North Dakota State University
1320 Albrecht Boulevard
Fargo, ND United States 581052Federal Highway Administration
Office of Motor Carriers, 1200 New Jersey Avenue, SE
Washington, DC United States 20590 -
Authors:
- Lantz, Brenda M
- Blevins, Michael W
- Hillegass, Thomas J
- Publication Date: 1997-3
Language
- English
Media Info
- Media Type: Digital/other
- Edition: Final Report
- Features: Figures; References; Tables;
- Pagination: 49p
Subject/Index Terms
- TRT Terms: Benefits; Commercial drivers; Commercial vehicles; Decision support systems; Evaluation and assessment; Inspection; Motor carriers; Software; Surveys; Trucking safety
- Identifier Terms: Inspection Selection System (Computer program)
- Subject Areas: Data and Information Technology; Motor Carriers; Safety and Human Factors;
Filing Info
- Accession Number: 01701537
- Record Type: Publication
- Report/Paper Numbers: DP-116
- Files: TRIS, ATRI, USDOT
- Created Date: Apr 8 2019 4:56PM