57 University of Sindh Journal of Information and Communication Technology (USJICT) Volume 2, Issue 1, January 2018 ISSN-E: 2523-1235, ISSN-P: 2521-5582 © Published by University of Sindh, Jamshoro Website: http://sujo.usindh.edu.pk/index.php/USJICT/ Estimation of Absolute Speed of Vehicle with the Simplified Inverse Model Seher Zamir 1 , Syeda Sumbul Zehra Naqvi 1 , Syeda Hira Fatima 2 1 Department of Electronics, Mehran University of Engineering & Technology, Jamshoro 2 Institute of Mathematics and Computer Science, University of Sindh, Jamshoro saharkhan139@hotmail.com, sumbulnaqvi17@gmail.com, hira.naqvi@usindh.edu.pk Abstract: Presently the calculations of complete speed of railway vehicles are very useful for the people in Pakistan. This is obtained by observing the stimulated time shift for the arbitrary track between two wheel sets of a bogie. The model developed in this research work is aimed to collect specific characteristics of the movements at the wheel sets via two inertial sensors seated onto a bogie. An input in the system is provided by means of the rough surface of track that produces bounce in both wheels that is identical except in the delay of time. This delay of time is detected by the space between the two wheels. The cross-correlation calculation technique has been used to determine the delay in time between the movements from one to another. The calculating method is achieved by extraction, which is based on a discursive model of vehicle. Keywords: Cross Correlation, Simplified Inverse Model, Time delay I. INTRODUCTION The rail vehicle speed’s measurement is often conquered by noticing the speed of revolution of the wheels, as the width of the wheel is static. This standard practice has been providing acceptable accuracy for a long time because there is no extreme possibility for the wheel slide; this is a process that allows a wheel to lag and to overrun for the station of trains. This technique will be employed for the modeling and simulation of speed of the railway vehicles. This research is based to study the up to date data available for the estimation of railway vehicle ground speed and to acquire a detailed model of vehicle by using one of the most extensive methods of multimode packages of simulation, mostly used by the manufacturers of vehicle and to contrast with the International Union of Railways (UIC). Finally, the model ought to be able to calculate the speed. The chief principle of this research work is to study and estimate the simulation of the measurement of the absolute vehicle speed and finally analyze the simulated results. II. STATE OF THE ART [1] presents dependable and appropriate measurements of absolute vehicle speed by estimating the time shift of two adjacent wheels’ motion via cross correlation which is vital for control purposes of vehicle tracking. [2] shows an approach for the fault control tolerant for the vehicles connected to an electrical independent four-wheel driven system also for that a controller is prepared for ensuring the stability of vehicles. [3] used an accelerometer and wheel based speed sensor to accurately estimate the speed of the vehicle. Filter is used to sense the speed of the vehicle and fuzzy logic is implemented for this. Basically, three types of sensing filters are used to reduce high frequency noise of the acceleration calculations and the error is also measured that is coming between the vehicle speed [4][5] discussed that for the development of modern vehicle, its safety and traction control are the facts of under consideration. The presented work in this paper is based on Composite Nonlinear Feedback (CNF) controller application for the controlling strategies of vehicle lateral dynamic behaviour based on direct yaw moment compensation. Basically, for the model of vehicle, two models are constructed one for the non-linear and the other one for tire. All the controlling performances have been conducted by means of numerical simulations using MATLAB/Simulink platform. The main factors for roadway usage, specially by large vehicles is discussed to evaluate the infrastructure of highway lifespan, for this purpose, non-conventional techniques are specifically designed for the purpose of calculating the speed of vehicle by means of single loop detectors [6][7] present the calculations of the speed of vehicles based on grey constraint optical flow algorithm. A vital role is played by the vehicle speed measurement for Intelligent transportation systems (ITS). The speed of vehicle basically can be measured in two ways i.e. via hardware- based methods or software-based methods. In this paper, a software based method is implemented to estimate the speed of any vehicle by video images. A loop detector named” Induction-coil loop speed measurement” is embedded into the ground as whenever a vehicle goes across this loop to detect the speed. Also, a laser detector is used to be placed