Limitations of crash data and crash-based methods have given rise to the study of alternate
measures of safety that are not predicated on the occurrence of a crash such as traffic …

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

Real-time safety evaluation is essential for developing proactive safety management
strategy and improving the overall traffic safety. This paper proposes a method for real-time …

The real-time conflict prediction model using traffic flow characteristics is much less studied
than the crash-based model. This study aims at exploring the relationship between conflicts …

Highlights•Conflict-based real-time safety performance functions are developed for
signalized intersections.•Several Tobit models including GRP-Tobit, RI-Tobit, and GRP-Tobit …

Traffic accidents impart both economic and social costs upon communities around the world,
hence the desire for accident rates to be reduced. For this reduction to occur, the factors …

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 …

Crash Detection is essential in providing timely information to traffic management centers
and the public to reduce its adverse effects. Prediction of crash risk is vital for avoiding …

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 …

Several studies have advocated the use of extreme value theory (EVT) traffic conflict models
for real-time crash risk prediction using real-time safety indices such as the risk of crash (RC) …