Taking into consideration the increasing availability of real-time traffic data and stimulated by
the importance of proactive safety management, this paper attempts to provide a review of …

Per vehicle mile traveled, motorcycle riders have a 34-fold higher risk of death in a crash
than people driving other types of motor vehicles. While lower-extremity injuries most …

Background The effect of mandated societal lockdown to reduce the transmission of
coronavirus disease 2019 (COVID-19) on road traffic accidents is not known. For this …

This paper describes the use of ordered probit models to examine the risk of different injury
levels sustained under all crash types, two-vehicle crashes, and single-vehicle crashes. The …

The relationship between speed and road safety is a highly controversial and emotionally
charged subject. This report investigates the effects of changes in speed on the number of …

Understanding factors affecting road accidents is an important area in road safety research.
This paper provides a review of the factors, with specific focus on traffic and road related …

Linear and nonlinear multivariate statistical analyses are applied to determine how the types
of accidents that occur on heavily used freeways in Southern California are related both to …

Traffic congestion and road accidents are two external costs of transport and the reduction of
their impacts is often one of the primary objectives for transport policy makers. The …

Real-time traffic crash prediction has been a major concern in the development of Collision
Avoidance Systems (CASs) along with other intelligent and resilient transportation …

In this paper, we present evidence of strong relationships between traffic flow conditions and
the likelihood of traffic accidents (crashes), by type of crash. Traffic flow variables are …