… His research in the real-time prediction of traffic crashes on freeways is recognized …
incident prediction. Dr. Abdel-Aty is a Registered Professional Engineer in the State of Florida. …

… Crash prediction model (CPM) is an essential tool in traffic safety analysis. Numerous
studies have been conducted to evaluate the safety level of various types of road entities, to …

… model proposed in this research is a dichotomous prediction of crash and non-crash traffic
flow, so only two kinds of prediction results with or without risk can be obtained. In order to …

… for traffic crashes in traffic crash risk prediction and evaluation, especially when crash data
are … used in the active prevention and control of traffic crash risk, thus reducing traffic crashes. …

… This article focuses on the use of DL techniques to predict traffic accidents on highway
segments in real-time. Our research assumption is that the likelihood of an accident can be …

… this paper: crash detection and crash prediction, with high-resolution traffic flow information.
… , this paper will consider individual crash case and its associated traffic condition, utilize the …

… and can be applied to many other prediction models to predict real-time traffic crash risk. …
risk prediction models, this study tries to build a new kind of real-time traffic crash prediction …

… -time crash prediction models that will potentially be employed within traffic management …
Methods: In this study, two highly optimized data-driven models for crash occurrence prediction …

… crash occurrence time (TIM) have significant effects on the traffic crash prediction model; the
prediction … of this research is traffic crash severity prediction; since the occurrence of traffic …

… prediction techniques pertaining to traffic crash severity research. General modelling strategy
of severity of crashes … [2-5] for RTC severity predictions. The frequency of RTC has been on …