Certain investigations on development of new algorithms for sensing lateral control and longitudinal control for intelligent transportation system

Abstract

The course of the entire research work investigates the Advanced newlineVehicle Control System AVCS features of Intelligent Transportation newlineSystem ITS The work in the thesis focuses on the design and development newlineof auto piloted vehicles and its control algorithms which is an AVCS feature newlinein ITS The major features of AVCS include lane sensing lateral control newlinelongitudinal control vehicle communication and vehicle platooning Two newlinetypes of prototype vehicles are designed for the real time implementation of newlinethe proposed algorithms Two test bed tracks are used to test the performance newlineof the proposed algorithms Two types of sensors one with IR based sensing and the other one with 128 x 1 Linear Sensor Array based sensing technique is used for lane newlinesensing IR based sensing is used in prototype vehicle 1 and Linear Sensor newlineArray based sensing is used in prototype vehicle 2 Five different algorithms newlinefor IR based sensing and adaptive sensor calibration algorithm is proposed for newlinelinear sensor array based sensing The performances of the algorithms in these newlinesensors are analyzed The adaptive sensor calibration technique used in newline128x1 linear sensor array adapts to the various light intensity conditions This newlinealgorithm facilitates the identification of black line from the white newlinebackground at any intensity level 10 lux 1000 lux Thus the proposed newlinealgorithm makes the vehicle to track the lane independent of light intensity newlinevariations newline newline newline