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 …

Proactive traffic safety management systems can monitor traffic conditions in real-time,
identify the formation of unsafe traffic dynamics, and implement suitable interventions to …

Introduction Driving environment, including road surface conditions and traffic states, often
changes over time and influences crash probability considerably. It becomes stretched for …

Introduction The effective treatment of road accidents and thus the enhancement of road
safety is a major concern to societies due to the losses in human lives and the economic and …

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 …

We show how data collected from a GPS device can be incorporated in motor insurance
ratemaking. The calculation of premium rates based upon driver behaviour represents an …

Real-time driving risk status prediction is critical for developing proactive traffic intervention
strategies and enhance driving safety. However, the optimal observation time window length …

Real-time crash prediction is a heavily studied area given their potential applications in
proactive traffic safety management in which a plethora of statistical and machine learning …

Transportation-related harms have developed into a social disease, threatening public
safety and health in China. We aimed to increase the global understanding of traffic safety …

Due to the difficulty of obtaining accurate real-time visibility and vehicle based traffic data at
the same time, there are only few research studies that addressed the impact of reduced …