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

Abstract Connected and Automated Vehicles (CAVs) can potentially improve the
performance of the transportation system by reducing human errors. This paper investigates …

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 …

Automated vehicles (AVs) represent an opportunity to reduce crash frequency by eliminating
driver error, as safety studies reveal human error contributes to the majority of crashes. To …

Accurate crash frequency prediction is critical for proactive safety management. The
emerging connected vehicles technology provides us with a wealth of vehicular motion data …

Traffic congestion is monotonically increasing, especially in large cities, due to rapid
urbanization. Traffic congestion not only deteriorates traffic operation and degrades traffic …

Transportation safety is highly correlated with driving behavior, especially human error
playing a key role in a large portion of crashes. Modern instrumentation and computational …

Understanding crash causation to the extent needed for applying countermeasures has
always been a focus as well as a difficulty in the field of traffic safety. Previous research has …

As a key indicator of unsafe driving, driving volatility characterizes the variations in
microscopic driving decisions. This study characterizes volatility in longitudinal and lateral …

The frequent crash occurrences have caused massive loss of lives and properties all over
the world. In order to improve traffic safety, it is vital to understand the relationships between …