Traditional statistical crash prediction models oftentimes suffer from poor data quality and
require large amount of historical data. In this paper, we propose a crash prediction method …

Develo** non-crash or surrogate measures of road safety has drawn considerable
research interest over the past five decades. Traffic conflict techniques, which analyze the …

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

Most existing traffic conflict indicators do not sufficiently take into account the severity of the
injuries resulting from a collision had it occurred. Thus far, most of the indicators that have …

Driving risk varies substantially among drivers. Identifying and predicting high-risk drivers
will greatly benefit the development of proactive driver education programs and safety …

This paper proposes a combined usage of microscopic traffic simulation and Extreme Value
Theory (EVT) for safety evaluation. Ten urban intersections in Fengxian District in Shanghai …

Due to the difficulty of obtaining traffic flow data and conflicts simultaneously, conflict-based
analysis using macroscopic traffic features is much less studied. This research aims to …

The validity of traffic conflicts and other surrogate events has been a great concern in the
development and application of surrogate safety measures. Extreme value theory (EVT) …