The purpose of this article is to present a structured review of publications utilizing machine
learning methods to aid in engineering risk assessment. A keyword search is performed to …

Fast and accurate prediction of urban flood is of considerable practical importance to
mitigate the effects of frequent flood disasters in advance. To improve urban flood prediction …

Abstract Machine learning (ML) techniques play a crucial role in today's modern world. Over
the last years, road traffic safety is one of the applications where ML‐methods have been …

As an important research topic, real-time crash likelihood prediction has been studied for
many years. However, few research focuses on the missing data imputation in real-time …

There is a growing interest in the application of the machine learning technique in modeling
the motorcycle crash severity. This is due to a progress in autonomous vehicles technology …

Introduction: Safety performance functions (SPF) are employed to predict crash counts at the
different roadway elements. Several SPFs were developed for the various roadway …

A methodology for assessing crash risk using vehicle driving trajectories based on data
mining techniques was developed in this study. A variety of safety indicators reflecting the …

Introduction Nowadays, a significant part of goods and passengers are transported on
suburban highways with mainly high-speed vehicles. Hence, these highways are very prone …

Road safety modeling enables the development of crash prediction models and the
investigation of which factors contribute to crash occurrence. Develo** multivariate …

There have been plenty of studies intended to use different methods, for example, empirical
Bayes before–after methods, to get accurate estimation of CMFs. All of them have different …