The rapid increase in traffic volume on urban roads, over time, has altered the global traffic
scenario. Additionally, it has increased the number of road crashes, some of which are …

Crash severity prediction models enable different agencies to predict the severity of a
reported crash with unknown severity or the severity of crashes that may be expected to …

This study describes crash causes, conditions, and distribution of accident hot spots along
with an analysis of the risk factors that significantly affect severity levels of crashes and their …

Road traffic injury accounts for a substantial human and economic burden globally.
Understanding risk factors contributing to fatal injuries is of paramount importance. In this …

Rapid increase of traffic volume on urban roads over time has changed the traffic scenario
globally. It has also increased the ratio of road accidents that can be severe and fatal in the …

In measuring road safety, accident severity is a key concern. Crash severity prediction
models inform researchers about the severity of a crash based on a variety of criteria. To …

Introduction: In this paper, we present machine learning techniques to analyze pedestrian
and bicycle crash by developing macro-level crash prediction models. Methods: We …

This study presents an innovative set of models for accident prediction which are at the core
of a web‐based platform for road safety simulation and predictions. Specifically, insights into …

Introduction: In spite of recent advances in traffic surveillance technology and ever-growing
concern over traffic safety, there have been very few research efforts establishing links …

As a threat for transportation system, traffic crashes have a wide range of social
consequences for governments. Traffic crashes are increasing in developing countries and …