Using the Safety State Model to Measure Driver Performance

950968

02/01/1995

Event
International Congress & Exposition
Authors Abstract
Content
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 causality very difficult.
The safety state network is a probabilistic model which captures the behavior of a system. Based on a finite Markov 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 the probabilistic decision patterns of control elements in a transportation system. This paper discusses the theoretical basis of the safety state model, and applications to measuring driver performance.
Meta TagsDetails
DOI
https://doi.org/10.4271/950968
Pages
12
Citation
Lanzilotta, E., "Using the Safety State Model to Measure Driver Performance," SAE Technical Paper 950968, 1995, https://doi.org/10.4271/950968.
Additional Details
Publisher
Published
Feb 1, 1995
Product Code
950968
Content Type
Technical Paper
Language
English