The identification of crash hotspots is the first step of the highway safety management process. Errors in hotspot identification may result in the inefficient use of resources for safety improvements and may reduce the global effectiveness of the safety management process. Despite the importance of using effective hotspot identification (HSID) methods, only a few researchers have compared the ...

The rapid increase in traffic volume on urban roads, over time, has altered the global scenario. Additionally, it increased number of road crashes, some which are severe and fatal nature. identification hazardous roadway sections using spatial pattern analysis crashes recognition primary contributing factors may assist reducing severity (R.T.C.s). For crash prediction, along with patterns, vari...

AbstractIn this paper, we evaluate the performance of a spatial multiresolution analysis (SMA) method, that behaves like variable bandwidth kernel density estimation (KDE) for hazardous r...

Crash hotspot identification (HSID) is an essential component of traffic management authorities’ efforts to improve safety and allocate limited resources. This paper presents a method for identifying hotspots using self-organizing maps (SOM). The SOM was used identify high-risk areas based on five commonly HSID methods: crash frequency, equivalent property damage only, rate, empirical Bayes, th...

The identification of crash hotspots is the critical component of the highway safety management process. Errors in hotspot identification (HSID) may result in the inefficient use of resources for safety improvements. One HSID method that is based on the empirical Bayesian (EB) method has been widely used as an effective approach for identifying crash-prone sites. For the EB method, the negative...

Despite the identification of crash hotspots as a first step of the roads safety management process, with various effective black spots identification (HSID) methods, only a few researchers have compared the performance of these methods; also it is not clear which test is the most consistent in the black-spots identification. In this research, seven commonly applied HSID methods (accident frequ...

Background: Injuries and accidents are one of the main problems in the present century. The purpose of this study was the identification and analysis of the characteristics of pre-hospital emergency motor vehicle accidents (MVA) in Rafsanjan, Iran, in 2014. Materials and Methods: This cross-sectional descriptive study was performed on all patients recorded by pre-hospital emergency during a ...