Safety assessment of road sections and networks have historically relied on police-reported
crash data. These data have several noteworthy and significant shortcomings, including …

The rapidly growing interest from both academics and practitioners in the application of big
data analytics (BDA) in supply chain management (SCM) has urged the need for review of …

Spatial analyses of crashes have been adopted in road safety for decades in order to
determine how crashes are affected by neighboring locations, how the influence of …

The extensive progression in the Internet of Vehicles (IoV) and the exponential upsurge in
data consumption reflect the importance of big data in IoV. In general, big data has gained a …

Abstract Surrogate Safety Measures (SSMs) are widely used to assess potential crash risk
proactively. Notably, most of the existing safety indicators are fundamentally designed to …

Abstract The era of Big Data has arrived. Recently, under the environment of intelligent
transportation systems (ITS) and connected/automated vehicles (CAV), Big Data has been …

Road safety in low-income countries (LICs) remains a major concern. Given the expected
increase in traffic exposure due to the relatively rapid motorisation of transport in LICs, it is …

Estimating crash frequency by severity levels using traffic conflicts remains relatively
unexplored in conflict-based traffic safety assessment, limiting its application scope and …

The advent of Big Data has triggered disruptive changes in many fields including Intelligent
Transportation Systems (ITS). The emerging connected technologies created around …

Traffic accidents have been one of the most important global public problems. It has caused
a severe loss of human lives and property every year. Studying the influential factors of …