USING THE SAFETY STATE MODEL TO MEASURE DRIVER PERFORMANCE
Measurement of driver performance, with regard to safety, has traditionally posed great difficulty. While safety is often discussed in terms of risk probabilities, measurement of risk probability is hampered by several factors. First, accidents are relatively rare occurrences. Furthermore, the identifying event (the accident) occurs at the end of the time period which contains the precipitating events. As a result, it is quite difficult to monitor for potential accident scenarios. In addition, accidents are most typically the result of several compounding factors, which makes determination of causalty very difficult. The safety state network is a probabilistic model which captures the behaviour of a system. Based on a finite Markow network, the safety state network models the human/machine and human/human interactions in a transportation system and forms a framework for capturing and comparing elements in a transportation system. This paper discusses the theoretical basis of the safety state model, and applications to measuring driver performance. (A) For the covering abstract of the conference see IRRD 875189.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/isbn/1560916389
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Corporate Authors:
Society of Automotive Engineers (SAE)
400 Commonwealth Drive
Warrendale, PA United States 15096 -
Authors:
- LANZILOTTA, E J
- Publication Date: 1995-2
Language
- English
Media Info
- Features: References;
- Pagination: p. 175-84
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Serial:
- SAE PUBLICATION SP-1088. HUMAN FACTORS IN VEHICLE DESIGN. LIGHTING, SEATING AND ADVANCED ELECTRONICS. (SAE TECHNICAL PAPER 950968)
- Publisher: Society of Automotive Engineers (SAE)
Subject/Index Terms
- TRT Terms: Aptitude; Conferences; Crashes; Decision making; Drivers; Driving; Evaluation and assessment; Hazards; Human factors; Mathematical models; Measurement; Methodology; Motor skills; Probability; Psychological adaptation; Safety
- ITRD Terms: 1643: Accident; 2208: Adaptation (psychol); 8525: Conference; 2248: Decision process; 2226: Driving aptitude; 9020: Evaluation (assessment); 2257: Human factor; 6473: Mathematical model; 6136: Measurement; 9102: Method; 6534: Probability; 9150: Risk; 1665: Safety; 2205: Skill (road user)
- Subject Areas: Data and Information Technology; Safety and Human Factors;
Filing Info
- Accession Number: 00719732
- Record Type: Publication
- Source Agency: Institute for Road Safety Research, SWOV
- ISBN: 1-56091-638-9
- Files: ITRD
- Created Date: Apr 26 1996 12:00AM