… Though more and more factors that are relevant to the traffic crashes have been … and
erroneous predictions. In this study, we proposed an innovative approach for traffic crash prediction, …

… This study uses the provincial road traffic crashes data in Iran for 93 months. “The benefit of
using provincial units lies in the interpretation of the model results and possible evaluation of …

… crashes in Advanced Traffic Management and Information Systems (ATMIS) environment.
This paper aims at developing a crash-likelihood prediction model using real-time traffic-… crash …

… Also, looking into the prediction accuracy only is misleading. … f1-loss function to predict the
severity of traffic crashes. Underlying … include a sample of traffic crashes that occurred at work …

… The real-time crash prediction model … traffic flow characteristics and crash risk on urban
expressways. Thus, to establish the crash prediction model, crash data and corresponding traffic …

… However, apart from the goodness-of-fit of the crash-prediction models that have been
developed in this paper, the aforementioned effects of geometry and traffic on crash frequency in …

… potential must be estimated on a real-time basis by monitoring the current traffic … crash
prediction model relating crash potential to various traffic flow characteristics that lead to crash …

… crashes and traffic flow, geometric infrastructure characteristics and environmental factors
for two-lane rural roads. Crash-prediction … Finally, as far as the authors are aware, prediction …

… with traffic crashes. This paper aims at presenting an overview of road crash prediction …
Given a such trend, this paper presented different types of traffic crash prediction models to …

… crash prediction model that takes real-time traffic data as input and evaluates their association
with crash … review of existing real-time crash prediction models with the aim of illustrating …