Investigating factors affecting severity of large truck-involved crashes: Comparison of the SVM and random parameter logit model
Introduction: Reducing the severity of crashes is a top priority for safety researchers due to
its impact on saving human lives. Because of safety concerns posed by large trucks and the …
its impact on saving human lives. Because of safety concerns posed by large trucks and the …
Bayesian extreme value analysis of kinematic-based surrogate measure of safety to detect crash-prone conditions in connected vehicles environment: A driving …
Abstract Connected Vehicles (CVs) technology has provided large-scale driving database
embedded in Basic Safety Messages (BSMs). This valuable data source can shed more light …
embedded in Basic Safety Messages (BSMs). This valuable data source can shed more light …
Effects of different crash data variables on EMS response time for a rural county in Alabama
Abstract Response time of Emergency Medical Services (EMS) is an important factor related
to preventable deaths in road crash incidents. This study focuses on analyzing the effects of …
to preventable deaths in road crash incidents. This study focuses on analyzing the effects of …
[PDF][PDF] Calibration of Highway Safety Manual's Crash Prediction Model for Rural Two-Lane Two-Way Roads in a Develo** Country: A Case Study
Road safety has attracted much attention in the last decades owing to the high fatality rate of
road crashes. The high speed of drivers on rural roads results in more severe crashes …
road crashes. The high speed of drivers on rural roads results in more severe crashes …