… , such as driver characteristics, highway characteristics, vehicle characteristics, accidents …
of using Bayesian Networks (BNs) to classify traffic accidents according to their injury severity. …

… Therefore, this research work shows that, for the analysis of the severity of road accidents
by Bayesian networks on rural roads, it is possible to reduce the number of variables …

… a Bayesian network for analysis of injury severity. The results showed that Bayesian network
can be applied in road accident … It also presented some advantages of Bayesian network, …

… , vehicle performances, unstable traffic speed, etc. To address the problem, this paper used
Bayesian networks to establish the accident injury severity model for curves. According to the …

… Bayesian network-based prediction method to learn the relationship between the factors and
the severity indexes, ie, the number of injuries, … analysis of traffic accidents injury severity on …

… Logit models and Bayesian network methods have been used in crash modeling and …
and Bayesian network methods for comprehensively analyzing driver injury severities in rear…

… that by using Bayesian networks can predict the accidents and the … plan intelligently and
effectively to control these accidents. … Bayesian networks can predict injury severity of accident, …

… approach was developed, based on citywide crash data collected in Kunshan, … the Bayesian
network was employed to explicitly explore statistical associations between crash severity …

… by (DGT) and employing a Bayesian network, the current study … in road traffic injuries with
the level of drivers’ harmfulness. … , injury severity, has been created considering the severity of …

… We use an example of injury severity in motor vehicle accidents, … high-risk factors affecting
injury severity using big data that … In this process, the Bayesian network (BN) will grow from an …