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Human-centered safety analysis of prospective road designs

Journal
IEEE Transactions on Systems, Man, and Cybernetics Part A:Systems and Humans
Date Issued
March 2010
Author(s)
Gregoriades, Andreas  
Sutcliffe, Alistair G.  
Papageorgiou, George  
Louvieris, Panos  
DOI
10.1109/TSMCA.2009.2037011
Abstract
One of the most important issues in road safety management is the lack of reliable methods for predicting the likelihood of accidents. Road safety assessment systems have been developed; however, these systems only employ historical or retrospective analyses, and the human factor element is weak or missing. Effective safety management requires both holistic and prospective viewpoints, with human factors having an intrinsic role. The main goal of this paper is to contribute toward that need through the application of Bayesian belief networks and road traffic simulation for validating the safety requirements of prospective road designs. The theoretical platform of the method is the concepts of human performance and mental workload and how these affect accident likelihood. This paper presents a novel method and a tool that integrates these two mature technologies, for assessing the safety performance of road designs before they are developed. A case study is included that illustrates the application of the method and tool..
Subjects

Agent-based simulatio...

Bayesian belief netwo...

Human factors

Road safety

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