A paper titled 'Critical power two wheeler driving patterns at the emergence of an incident' co-authored
by E.Vlahogianni, G.Yannis and J.Golias is now available in the
Accident Analysis and Prevention Journal. The paper proposes a methodology based on Bayesian Networks
for identifying the power two wheeler (PTW) driving patterns that arise
at the emergence of a critical incident based on high resolution
driving data (100 Hz) from a naturalistic PTW driving experiment.
Results using data from one PTW driver reveal three prevailing driving
actions for describing the onset of an incident and an equal number of
actions that a PTW driver executes during the course of an incident to
avoid a crash.
Πηγή: Ε.Μ.Π
Πηγή: Ε.Μ.Π
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