PURPOSES : Driving simulations are widely used for safety assessment because they can minimize the time and cost associated with collecting driving behavior data compared to real-world road environments. Simulator-based driving behavior data do not necessarily represent the actual driving behavior data. An evaluation must be performed to determine whether driving simulations accurately reflect road safety conditions. The main objective of this study was to establish a methodology for assessing whether simulation-based driving behavior data represent real-world safety characteristics. METHODS : A 500-m spatial window size and a 100-m moving size were used to aggregate and match the driving behavior indicators and crash data. A correlation analysis was performed to identify statistically significant indicators among the various evaluation metrics correlated with crash frequency on the road. A set of driving behavior evaluation indicators highly correlated with crash frequency was used as inputs for the negative binomial and decision tree models. Negative binomial model results revealed the indicators used to estimate the number of predicted crashes. The decision-tree model results prioritized the driving behavior indicators used to classify high-risk road segments. RESULTS : The indicators derived from the negative binomial model analysis were the standard deviation of the peak-to-peak jerk and the time-varying volatility of the yaw rate. Their importance was ranked first and fifth, respectively, using the proposed decision tree model. Each indicator has a significant importance among all indicators, suggesting that certain indicators can accurately reflect actual road safety. CONCLUSIONS : The proposed indicators are expected to enhance the reliability of driving-simulator-based road safety evaluations.

Despite over eighty percent of industrial accidents were caused by unsafe behaviors, most safety programs still focus on changing workers’ internal status such as thinking and attitude rather than directly changing safe related behaviors. The purpose of this paper is to introduce the basic concepts and procedures of Behavior-Based Safety (BBS) which originated in applied behavior science (ABS), BBS attempts to change safety related behaviors by manipulating antecedents and consequences of workers’ behaviors. Also this paper introduces several case studies conducted globally in various industrial fields. These case studies highlight the procedures of BBS, their impacts on safety performance and accidents rate, and other business results. Based on these results, this paper proposes new guidelines for safety management.

  In this paper, we described the existing methodology of product safety analysis and proposed a Petri-nets based method to analyze product safety systematically. The proposed method can be used to find the defects of hardware/software and the error of hu

Load test is performed to obtain the data to evaluate load carrying capacity and check static & dynamic characteristics of a structure by estimating the real behavior of bridge due to loading the load. The subject facility in this paper is a bridge located on the spiilway of dam and traffic is relatively less than most brige. Considering the age and operation rules of a dam, however, load test and structure programming analysis were performed to check current conditions for structure under in-depth inspection and the results of that analysis are shown.