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Vehicle Crash Avoidance Modelling and Simulation Using Artificial Neural Network Approach

Zahir, Muhammad Radzi (2005) Vehicle Crash Avoidance Modelling and Simulation Using Artificial Neural Network Approach. Universiti Teknologi Petronas. (Unpublished)

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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.

Item Type: Final Year Project
Academic Subject : Academic Department - Mechanical Engineering - Materials - Engineering materials - Metals alloys - Phase transformation
Subject: T Technology > TJ Mechanical engineering and machinery
Divisions: Engineering > Mechanical
Depositing User: Users 2053 not found.
Date Deposited: 02 Oct 2013 15:53
Last Modified: 25 Jan 2017 09:46
URI: http://utpedia.utp.edu.my/id/eprint/8110

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