Advertisement

Smart City Traffic Control System

  • Kakan Adwani
  • N. RakeshEmail author
Conference paper
Part of the Lecture Notes on Data Engineering and Communications Technologies book series (LNDECT, volume 33)

Abstract

Traffic light control systems are widely used to control the flow of the traffic in smart city. Due to rapid increase and continuous flow of the vehicles there is a lot of traffic congestion and people tend to break the traffic rules risking their life. Pedestrians are meant for the people to cross the road who are on foot but the vehicles are there on the pedestrians. At times breaking the traffic rule might lead to accidents. At night street lights are on even though the street is empty, which is a waste of energy and is a serious issue. So as to reduce the traffic congestion and make the people follow the traffic rules we propose “Smart City Traffic Control System”. It consists of a dynamic traffic light control system (based upon the density), a laptop camera (for monitoring and it will record the video in case if traffic rule has been broken, this recording will be stored and mailed to the traffic police department), a GSM module (to notify the traffic police department via SMS that a traffic rule has been broken, TSOP sensor, Arduino Mega Microcontroller, LEDs.

Keywords

Dynamic traffic light control system Camera (lato) GSM module TSOP sensor Arduino Mega Microcontroller LEDs 

References

  1. 1.
    Surya, S., Rakesh, N.: Traffic congestion prediction and intelligent signalling based on Markov decision process and reinforcement learning. In: Guru, D., Vasudev, T., Chethan, H., Kumar, Y. (eds.) Proceedings of International Conference on Cognition and Recognition. Lecture Notes in Networks and Systems, vol. 14. Springer, Singapore (2018)Google Scholar
  2. 2.
    Ramaprasad, S.S., Sunil Kumar, K.N.: Intelligent traffic control system using GSM technology. In: 2017 IEEE International Conference on Power, Control, Signals and Instrumentation Engineering (ICPCSI), Chennai (2017)Google Scholar
  3. 3.
    Ghazal, B., Khatib, K., Chahine, K., Kherfan, M.: Smart traffic light control system. In: 2016 Third International Conference on Electrical, Electronics, Computer Engineering and Their Applications (EECEA) (2016)Google Scholar
  4. 4.
    Chattaraj, A., Bansal, S.A.N., Chandra, A.: An ıntelligent traffic control system using RFID. IEEE Potentials 23, 40–43 (2009)CrossRefGoogle Scholar
  5. 5.
    Poyen, C.E.F., Bhakta, A., Manohar, B.D., Ali, I., Arghya, S., Rao, A.P.: Density based traffic control. Int. J. Adv. Eng. Manag. Sci. 2, 1379–1384 (2016)Google Scholar
  6. 6.
    Halladamani, S., Radha, R.C.: Development of closed loop traffic control system using image processing. In: International Conference on Energy, Communication, Data Analytics and Soft Computing (ICECDS), Chennai (2017)Google Scholar
  7. 7.
    Liang, X., Fu, J., Yan, M.: Highway traffic density control based on the composite of CACMAC and PID Controller, 2657-2661.  https://doi.org/10.1109/cac.2017.8243225 (2017)
  8. 8.
    Jagadeesh, Y.M., Suba, G.M., Karthik, S., Yokesh, K.: Smart autonomous traffic light switching by traffic density measurement through sensors. In: International Conference on Computers, Communications, and Systems (ICCCS), Kanyakumari (2015)Google Scholar
  9. 9.
    Suryanarayanan, S., Rakesh, N.: Emergency human collapse detection and tracking system. In: International Conference On Smart Technologies For Smart Nation (SmartTechCon) (2017)Google Scholar
  10. 10.
    Rakesh, N., Nalineswari, D.: Comprehensive performance analysis of path loss models on GSM 940 MHz and IEEE 802.16 WIMAX frequency 3.5 GHz on different terrains. In: 2015 International Conference on Computer Communication and Informatics (ICCCI) (2015)Google Scholar
  11. 11.
    Saifuzzaman, M., Moon, N.N., Nur, F.N.: IoT based street lighting and traffic management system. In: IEEE Region 10 Humanitarian Technology Conference (R10-HTC), Dhaka (2017)Google Scholar
  12. 12.

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Department of Computer Science and EngineeringAmrita School of Engineering, Bengaluru, Amrita Vishwa Vidyapeetham Amrita UniversityBengaluruIndia

Personalised recommendations