SMART TRAFFIC SYSTEM

Authors

  • Pranav S Ram Department of Computer Science and Engineering(of Aff.KTU), ASIET (of Aff.KTU), Ernakulam, Kerala Author
  • Radhika Rajan Department of Computer Science and Engineering(of Aff.KTU), ASIET (of Aff.KTU), Ernakulam, Kerala Author
  • Rahul MR Department of Computer Science and Engineering(of Aff.KTU), ASIET (of Aff.KTU), Ernakulam, Kerala Author
  • Deepika M P Department of Computer Science and Engineering(of Aff.KTU), ASIET (of Aff.KTU), Ernakulam, Kerala Author

DOI:

https://doi.org/10.61841/j1nyq074

Keywords:

Arduino applications, taffsense, smarttraffic

Abstract

 

An increase in the number of vehicles which is not followed by the number of roads can lead to excesive congestion, especially in big cities. The regulation of Law Number 22, Year 2009 explains that there are seven types of vehicles that are prioritized on the road. Conventional methods of traffic light systems are unable to deal with the ongoing issues surrounding congestion. The current traffic light models are not suitable to tackle problems such as traffic jams, ease of access for emergency vehicles and the prevention of accidents. Our present traffic light systems are based on microcontrollers and microprocessors which are predefined hardware which functions according to the programmed code. They are not flexible on the real time basis. Due to the fixed time intervals of red, yellow and green signals, the waiting time is more and the vehicle uses more fuel. The proposed project will focus on two aspects of implementation. First and foremost, to make traffic light controlling more efficient. This system will intelligently decide when to alternate signals based on the intensity of traffic on each lane, which is detected by sensors on each lane. This will ultimately increase the efficiency of the traffic flow. The second is a manual mode which allows authorized officials to control the signals. This is intended for use during the time of emergency.

 

Downloads

Download data is not yet available.

References

[1] S. K. Asare and R. A. Sowah, ‖Design and development of a microcontroller based traffic light control system using image processing techniques: — A case study prototype for Legon-Okponglo Junction, University of Ghana,‖ 2012 IEEE 4th International Conference on Adaptive Science and Technology (ICAST), Kumasi, 2012,

pp. 59-64, doi: 10.1109/ICASTech.2012.6381066.

[2] Morarescu and C. Canudas-de-Wit, ‖Highway traffic model-based ˘ density estimation,‖ Proceedings of the 2011 American Control Conference, San Francisco, CA, 2011, pp. 2012-2017, doi: 10.1109/ACC.2011.5991298.

[3] Dinesh Rotake, Swapnili Karmore, 2012. Intelligent Traffic Signal Control System using Embedded System. Innovative Systems Design and Engineering 3(5), pp.11- 20 [online] Available from: http://www.iiste.org [Accessed 26th Oct., 2018]

[4] M. Z. Talukder, S. S. Towqir, A. R. Remon, and H. U. Zaman, ―An IoT based automated traffic control system with real-time update capability,‖ 2017 8th Int. Conf. Comput. Commun. Netw. Technol., pp. 1–6, 2017.

[5] G. S. Khekare, ―Design of emergency system for intelligent trafc system using VANET,‖ in Proceedings of the 2014 International Conference on Information Communication and Embedded Systems, ICICES 2014, Chennai, India, February 2014.

[6] S. Badura and A. Lieskovsky, ―Intelligent traffic system: Cooperation of MANET and image processing,‖ in Proc. 1st Int. Conf. Integr. Intell. Comput. (ICIIC), Bangalore, India, Aug. 2010, pp. 119–123.

[7] A. S. Salama, B. K. Saleh, and M. Eassa, ―Intelligent cross road traffic management system (ICRTMS),‖ Computer Technology and Development (ICCTD), 2010 2nd International Conference on. 22/7/2017, pp. 27–31, 2010

Downloads

Published

30.09.2020

How to Cite

Ram, P. S., Rajan, R., MR, R., & P, D. M. (2020). SMART TRAFFIC SYSTEM. International Journal of Psychosocial Rehabilitation, 24(7), 11175-11178. https://doi.org/10.61841/j1nyq074