… The main objective of this work is to develop crash prediction models by considering the
most pertinent inputs, create relevant features’ combination and develop efficient machine …

… traffic crashes using floating car trajectory data. This is intent to address the mentioned gaps
in predicting traffic crashes … A study focusing on predicting vehicle crashes on the Middle …

… of traffic crashes on curved road segments as the focus of research, a logistic regression
based curve road crash severity prediction model was established based on a sample crash …

… This study analyzed road traffic crashes in Anambra State, … The crash prediction model that
will be developed in this study … of the contributing factors on the monthly number of crashes. …

… The development of freeway crash prediction models using intelligent trans portation
systems (ITS) archived data could be a substantial advancement in the field of real-time traffic …

… This paper addresses the limitations of current SPFs by developing crash prediction models
using traffic and geometric information that is provided at sub-daily aggregation intervals for …

… 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 …

… after the crash to dynamic analysis before the crash toward … dynamic traffic flow characteristics
and real-time traffic crash risk … a real-time traffic crash risk prediction model considering the …

… in traffic characteristics, both longitudinally and laterally. Nine Crash Prediction Models (…
beneficial to comprehend crash patterns on corridors with comparatively less traffic volume. …

… that resulted from drugs and alcohol are also deleted, since these kinds of crashes are usually
not attributed to real-time traffic and signal characteristics which are the focus of this study. …