Emerging big data resources and practices provide opportunities to improve transportation
safety planning and outcomes. However, researchers and practitioners recognise that big …

The collection of big data, as an alternative to traditional resource-intensive manual data
collection approaches, has become significantly more feasible over the past decade. The …

Abstract Research in Big Data and analytics offers tremendous opportunities to utilize
evidence in making decisions in many application domains. To what extent can the …

Road crashes cost over a million lives each year. Consequently, researchers and transport
engineers continue their efforts to improve road safety and minimize road crashes. With the …

Abstract Each year, 1.35 million people are killed on the world's roads and another 20–50
million are seriously injured. Morbidity or serious injury from road traffic collisions is …

The widespread use of sensors along with the latest developments in wireless technologies
has led to the prevalence of network monitoring and Intelligent Transport Systems (ITS). The …

The analysis of highway accident data is largely dominated by traditional statistical methods
(standard regression-based approaches), advanced statistical methods (such as models …

Data-driven intelligent technologies are promoting a disruptive digital transformation of
human society. Industrial accident prevention is also amid this change. Although many …

Transportation analysts are inundated with requests to apply popular machine learning
modeling techniques to datasets to uncover never-before-seen relationships that could …

Big data has an important influence on safety management in various fields where its
applications are becoming more prevalent. The analysis results of big data have become an …