The likelihood of a crash or crash potential is significantly affected by the short-term
turbulence of traffic flow. For this reason, crash potential must be estimated on a real-time …

The development of methods for real-time crash prediction as a function of current or recent
traffic and roadway conditions is gaining increasing attention in the literature. Numerous …

This study employed surrogate safety measures to evaluate the crash risks in different traffic
phases and phase transitions according to the three-phase theory. The analysis was …

Road crash prediction models are very useful tools in highway safety, given their potential
for determining both the crash frequency occurrence and the degree severity of crashes …

Because of growing concern over traffic safety and rising congestion costs, recent research
efforts have been redirected from the traditional reactive traffic management (crash detection …

The prediction of traffic crashes is an essential topic in traffic safety research. Most of the
previous studies conducted experiments on real-time crash prediction of expressways or …

Traffic flow characteristics that lead to crashes on urban freeways are examined. Since these
characteristics are observed prior to crash occurrence, they are referred to as “crash …

There has been considerable research conducted in recent years into establishing
relationships between crashes and various traffic flow characteristics for freeway segments …

With the development of traffic detection facilities technology, it is currently possible to obtain
high-resolution traffic flow data. Due to the particular driving characteristics of vehicles on …

The future of traffic management and highway safety lies in proactive traffic management
systems. Crash prediction models that use real-time traffic flow variables measured through …