The Efficient Highway Management System: Illuminating Roads of Future

Venu Gopal Reddipalli*, Anurag Korrm **, Aditya Vikram Shivhare ***, Vikas Dewangan ****, Aman Soni *****, Alka Mishra ******
*-****** Department of Electrical and Electronics, Bhilai Institute of Technology, Durg, Chhattisgarh, India.
Periodicity:October - December'2018
DOI : https://doi.org/10.26634/jdp.6.4.15954

Abstract

The Efficient highway system here refers to upgraded version of the current Highway Management System. This paper presents a smart system model which is self-dependent, self-sustainable and can operate without any human intervention. The presented system is combination of four sub-systems. The aim of the first subsystem is to detect and compare the traffic density at traffic squares to maintain the continuous and smooth flow of traffic which solves the problem of current scenario due to predefined timer system. The second subsystem uses IR sensors and a night detector to manipulate street light when not required hence reduces the wastage of energy. Both above subsystems are controlled with the single Microcontroller. The third subsystem which contains charging points installing underneath the roads such that they can be charged wirelessly any time which overcome the drawback of electric vehicle to travel long time. The aim of fourth subsystem is to generate clean and green energy using speed bumps as a concept of Road Power Generation and solar panels which makes the system self-sustainability.

Keywords

Traffic Management System, Charging, Traffic, Efficient, Generation.

How to Cite this Article?

Reddipalli, V. G., Korrm , A., Shivhare, A. V., Dewangan, V., Soni, A., and Mishra, A. (2018). The Efficient Highway Management System: Illuminating Roads of Future. i-manager’s Journal on Digital Signal Processing, 6(4), 7-13. https://doi.org/10.26634/jdp.6.4.15954

References

[1]. Cannon, B. L., Hoburg, J. F., Stancil, D. D., & Goldstein, S. C. (2009). Magnetic resonant coupling as a potential means for wireless power transfer to multiple small receivers. IEEE Transactions on Power Electronics, 24(7), 1819-1825.
[2]. Hussian, R., Sharma, S., Sharma, V., & Sharma, S. (2013). WSN applications: Automated intelligent traffic control system using sensors. International Journal of Soft Computing and Engineering, 3(3), 77-81.
[3]. Khalid, M. (1996). Intelligent traffic lights control by fuzzy logic. Malaysian Journal of Computer Science, 9(2), 29-35.
[4]. Kurs, A., Karalis, A., Moffatt, R., Joannopoulos, J. D., Fisher, P., & Soljačić, M. (2007). Wireless power transfer via strongly coupled magnetic resonances. Science, 317(5834), 83-86.
[5]. Madhav Group. (n.d). Solar Energy. Retrieved from http://www.madhavgrp.co.in/solar_energy.html
[6]. PriyaDharsini, M. M., Keerthana, M., Keerthana, R., Malarvizhi, V., & Meena, G. (2016). Smart Street Lighting. International Research Journal of Engineering and Technology, 3(4), 1860-1868.
[7]. Rai, H. M., Sisodiya, P., & Agrawal, I. (2016). Design of solar powered wireless charger for smartphones. International Research Journal of Engineering and Technology, 3(5), 1278-1281.
[8]. Salim, G. M., Ismail, H., Debnath, N., & Nadya, A. (2015, October). Optimal light power consumption using LDR sensor. In 2015 IEEE International Symposium on Robotics and Intelligent Sensors (IRIS) (pp. 144-148). IEEE.
[9]. Shinde, M. Y., & Powar, M. H. (2017). Intelligent traffic light controller using IR sensors for vehicle detection. International Advanced Research Journal in Science, Engineering and Technology, 4(2), 88-90.
[10]. Solar Basics, (n.d.). Retrieved from https://www.solar powerrocks.com/solar-basics/how-much-electricitydoes- a-solar-panel-produce/
[11]. Soni, A. K., Bind, N. K., & Gupta, R. K. (2016). Smart Street Lighting. Advanced Research in Electrical and Electronic Engineering, 3(3), 148-150.
[12]. Ullah, K. M., Ahsan-uz-Zaman, K. M., Hosen, S., Khan, R. H., & Parvin S. (2016, December). Electrical power generation through speed breaker. In 2016 9th International Conference on Electrical and Computer Engineering (ICECE) (pp. 30-33). IEEE.,
[13]. Zhou, B., Cao, J., Zeng, X., & Wu, H. (2010, September). Adaptive traffic light control in wireless sensor network-based intelligent transportation system. In 2010 IEEE 72nd Vehicular Technology Conference-Fall, 1-5.
If you have access to this article please login to view the article or kindly login to purchase the article

Purchase Instant Access

Single Article

North Americas,UK,
Middle East,Europe
India Rest of world
USD EUR INR USD-ROW
Pdf 35 35 200 20
Online 35 35 200 15
Pdf & Online 35 35 400 25

Options for accessing this content:
  • If you would like institutional access to this content, please recommend the title to your librarian.
    Library Recommendation Form
  • If you already have i-manager's user account: Login above and proceed to purchase the article.
  • New Users: Please register, then proceed to purchase the article.