Monitoring dynamic objects in surveillance applications is normally a demanding activity for
operators, not only because of the complexity and high dimensionality of the data but also …

Traffic incidents cause great losses to people's lives and property, and have aroused great
attention from researchers. In recent years, many machine learning methods have been …

A conservative estimate of crash reports of highways would suggest that more than 90%
crashes could be attributed to human errors, rest factors are either environmental or are …

Real-time situation awareness is a key challenge of cybersecurity defense. Visual analytics
has been utilized for this purpose, but existing tools tend to require detailed knowledge …

Road safety and accident prevention are critical concerns in modern transportation. This
paper presents a comprehensive survey of driver safety systems, focusing on the latest …

Accident detection and traffic analysis are critical components of smart city and autonomous
transportation systems that can reduce accident frequency and severity and improve overall …

Visual Analytics uses data visualization techniques for enabling compelling data analysis by
engaging graphical and visual portrayal. In the domain of cybersecurity, convincing visual …

Network Intrusion Detection is a critical task in today's environment, where network attacks
and intrusions are everyday occurrences and state-level cyber warfare is a major concern …

This report provides guidance for transportation and traffic incident management agencies to
bring multiple comprehensive datasets (Big Data) together to derive useful information and …

Understanding large-scale video traffic big data is the new frontier of today's AI smart
transportation advancement. The AI City Challenge 2019 is the third sequel of a yearly event …