Estimating Traffic Intensity at Toll Gates Using Qeueueing Networks
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2014, Vol 5, Issue 4
Abstract
Traffic information generation is a routine-like operation that is done on a daily basis at any public gate. A toll gate is a public roadway by which people enter and leave a public organisation. The existing models give premium consideration to security over prompt services and as such associated with processes that have high cost of implementation, inaccuracy from complex method as well pose other technical problems such as delay. This research presents an automated procedure for monitoring traffic at toll gates to give the best compromise among the conflicting objectives of payment, security and good services. The system gathers information about the traffic situation with respect to the license plate number captured from each vehicle that passes through the toll gate and as well captures data such as arrival speed, arrival time and date and uses this data as input to generate traffic report/information on a daily basis. Experimentally the system shows that it can effectively capture the vehicle video and detect the license plate in day time, showing accuracy of about 85% to 90%, practical results based on actual data are included.
Authors and Affiliations
Vincent O. R, Olayiwola O. E. , Kosemani O. O.
Keywords
Related Articles
- EP ID EP121206
- DOI 10.14569/IJACSA.2014.050419
- Views 125
- Downloads 0
: Ear Recognition using Dual Tree Complex Wavelet Transform
nce last 10 years, various methods have been used for ear recognition. This paper describes the automatic localization of an ear and it’s segmentation from the side poses of face images. In this paper, authors have...
Energy Efficient Algorithm for Wireless Sensor Network using Fuzzy C-Means Clustering
Energy efficiency is a vital issue in wireless sensor networks. In this paper, an energy efficient routing algorithm has been proposed with an aim to enhance lifetime of network. In this paper, Fuzzy C-Means clustering h...
Ant Colony Optimization of Interval Type-2 Fuzzy C-Means with Subtractive Clustering and Multi-Round Sampling for Large Data
Fuzzy C-Means (FCM) is widely accepted as a clustering technique. However, it cannot often manage different uncertainties associated with data. Interval Type-2 Fuzzy C-Means (IT2FCM) is an improvement over FCM since it c...
Comparative Analysis between a Photovoltaic System with Two-Axis Solar Tracker and One with a Fixed Base
In this article, the comparative analysis of the stored energies between a photovoltaic system with a two-axis solar tracker, controlled by Arduino with respect to the energy stored by a fixed-base photovoltaic system is...
A Circular Polarization RFID Tag for Medical Uses
The aim of this paper is to present Radio Frequency Identification (RFID) Tag. The use of this kind of antennas in the medical field has a great importance in making people's life easier and improving the way to get medi...