Intelligent Control of Vehicles' Number Plates on Toll Gates in Developing Nations

Author:

Mushiri Tawanda1,Mbohwa Charles1,Sarupinda Simbarashe2

Affiliation:

1. University of Johannesburg, South Africa

2. CUT, Zimbabwe

Abstract

Developing nations have implemented toll gates in their countries major trunk highways as a move towards the improvement in fiscal levels. However, several problems have arisen in the toll collection system that has been implemented. The system exists as an incomplete system in comparison to internationally acclaimed systems and methods. This chapter therefore seeks to introduce an automated toll collection system which has enhanced security features and intelligent vehicle classification methods. Utilising machine intelligence and computer vision methods in the system, the researchers intend to develop the automated and intelligent toll collection system for developing nation's tollgates. The mechatronic system will combat security loopholes and enhance the efficiency of the toll collection process.

Publisher

IGI Global

Reference35 articles.

1. Anishiya, P., & Joans, S. M. (2011). Number plate recognition for indian cars using morphological dilation and erosion with the aid of ocrs. Proceedings of the 2011 International Conference on Information and Network Technology (IPCSIT).

2. Atkociunas, E., Blake, R., Juozapavicius, A., & Kazimianec, M. (2005). Image Processing in Road Traffic Analysis. Nonlinear Analysis: Modelling and Control, 10(4), 315–332.

3. Chuang, Y. Y., Agarwala, A., Curless, B., Salesin, D. H., & Szeliski, R. (2002). Video matting of complex scenes. ACM Transactions on Graphics, 21(3), 243-248.

4. Clark, P., & Mirmehdi, M. (2000). Finding Text Regions using Localised Measures. Proceedings of the 11th British Machine Vision Conference (pp. 675-684).

5. Crispin, D. D. E., Aileen, U. M., Ricardo, G. S., Jim, J. M., & Hilario, S. P. (2005). Allocation of Electronic Toll Collection Lanes at Toll Plazas Considering Social Optimization of Service Times and Delays. Proceedings of the Eastern Asia Society for Transportation Studies (pp. 1496–1509).

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3