Vehicle Crash Avoidance Modelling and Simulation Using Artificial Neural Network Approach

The objectives of this project are to study kinematics of vehicles in crash avoidance
maneuvers, to model and simulate vehicles in crash avoidance scenarios in Matlab
Simulink environment, and also to develop crash avoidance algorithm utilizing artificial
neural network approach. The problem that leads to the development of this project is
that accidents happened mostly caused by human error, in which traffic delays and
congestion can eventually take place. The project involves a preliminary study on the
simulation of changinglane and also merging into highwaytraffic. This project consists
of two main components, which represents the method. The first component is whereby
studying of vehicle kinematics in crash avoidance maneuvers is done. The second
component is the process of modeling and simulation of crash avoidance scenarios in
Matlab Simulink environment. Based on the project that is to be done, the accidents
caused by lane changing and merging can be avoided through the design of intelligent
vehicle and intelligent highway. As a conclusion, the results ofthis paper could be used
to investigate on how to improve the safety of lane changingmaneuversand to provide
warnings or take evasive actions to avoid collision when combined with appropriate
hardware on board vehicles.