Driver`s Steering Behaviour Identification and Modelling in Near Rear-End collision
Abstract: This paper studies
and identifies driver`s steering manoeuvre behaviour in near rear-end
collision. Time-To-Collision (TTC) is utilized in defining driver’s emergency
threat assessment. The target scenario is set up under real experimental
environment and the naturalistic data from the experiment are collected. Four
normal drivers are employed for the experiment to perform the manoeuvre.
Artificial Neural Network (ANN) is proposed to model the behaviour of the
driver`s steering manoeuvre. The results show that all drivers manage to
perform steering manoeuvre within the safe TTC region and the modelling results
from ANN are reasonably positive. With further studies and improvements, this
model would benefit to evaluate the driving reliability to enhance traffic
safety and Intelligent Transportation System.
Keywords: driver behaviour
modelling, driver steering manoeuvre, rear-end collision avoidance, artifitial neural
network
Author: Nurhaffizah Hassan
Journal Code: jptkomputergg170072
