American Journal of Embedded Systems and Applications

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A Microcontroller Based Intelligent Traffic Control System

Received: 26 June 2018    Accepted: 11 April 2019    Published: 09 May 2019
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Abstract

A new microcontroller based intelligent traffic control system is proposed in this paper. Instead of changing traffic lights automatically for a given interval, this system allows passing the vehicles considering the number of vehicles on the roads. An Atmega 32 microcontroller and infrared sensors (IR sensors) are used to implement the traffic system. An algorithm is also developed for this purpose. The system is simulated and implemented also by constructing a test rig. The results from the simulation and experimental test rig confirm its appropriateness of using in the roads of different cities. No further processing scheme is required for this intelligent traffic control system.

DOI 10.11648/j.ajesa.20190701.13
Published in American Journal of Embedded Systems and Applications (Volume 7, Issue 1, June 2019)
Page(s) 21-25
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Microcontroller, IR Sensors, Traffic Control System

References
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[4] A. Patnaik, V. Natarajan, B. Karthikeyan, and P. Surendran, “Automatic traffic control system for single lane tunnels,” 2014 Int. Conf. Adv. Electr. Eng. ICAEE 2014, pp. 1–4, 2014.
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[6] P. Shih, C. Tsai, and C. Hsu, “An Efficient Automatic Traffic Sign Detection and Recognition Method for Smartphones,” in 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI 2017), pp. 1–5, 2017.
[7] S. Kong, F. Application, and P. Data, “Methods and Software for Managing Vehicle Priority in a Self-Organizing Traffic Control System,” US 9,536,427 B2, 2017.
[8] C. O. Manlises, J. M. Martinez, J. L. Belenzo, C. K. Perez, and M. K. T. A. Postrero, “Proc. Real-time integrated CCTV using face and pedestrian detection image processing algorithm for automatic traffic light transitions,” in International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management (HNICEM), pp. 1–4, December 2015.
[9] J. Favilla, A. Machion, and F. Gomide, “Fuzzy traffic control: adaptive strategies,” in Second IEEE International Conference on Fuzzy Systems, pp. 506–511, 1993.
[10] G. Kulkarni and P. Waingankar, “Fuzzy logic based traffic light controller,” in International conference on Industrial and information systems, (ICIIS), 2007, pp. 107–110.
[11] Y. Bi, X. Lu, D. Srinivasan, Z. Sun, and Z. Sun, “Optimal Type-2 Fuzzy System For Arterial Traffic Signal Control,” IEEE Trans. Intell. Transp. Syst., pp. 1–19, 2017.
[12] Sousa, Gilberto CD, Bimal K. Bose, and John G. Cleland. "Fuzzy logic based on-line efficiency optimization control of an indirect vector-controlled induction motor drive." IEEE Transactions on Industrial Electronics Vol: 42, No. 2 pp: 192-198, 1995.
[13] Wing-Chi, Chi K. Tse, and Yim-Shu Lee. "Development of a fuzzy logic controller for DC/DC converters: design, computer simulation, and experimental evaluation." IEEE Trans. on Power Electronics, Vol: 11, No. 1, pp: 24-32. 1996.
[14] Simoes, M. Godoy, Bimal K. Bose, and Ronald J. Spiegel. "Fuzzy logic based intelligent control of a variable speed cage machine wind generation system." IEEE transactions on power electronics Vol: 12, No. 1, pp: 87-95, 1997.
[15] Wu, Tsai-Fu, Chien-Hsuan Chang, and Yu-Hai Chen. "A fuzzy-logic-controlled single-stage converter for PV-powered lighting system applications." IEEE Transactions on Industrial Electronics Vol: 47, No. 2, pp: 287-296, 2000.
Author Information
  • Department of Electrical and Electronic Engineering, Chittagong University of Engineering and Technology, Chittagong, Bangladesh

  • Department of Electrical and Electronic Engineering, Chittagong University of Engineering and Technology, Chittagong, Bangladesh

  • Department of Electrical and Electronic Engineering, Chittagong University of Engineering and Technology, Chittagong, Bangladesh

  • Department of Electrical and Electronic Engineering, Chittagong University of Engineering and Technology, Chittagong, Bangladesh

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  • APA Style

    Md. Shamsul Arifin, Sheikh Alimur Razi, Akramul Haque, Nur Mohammad. (2019). A Microcontroller Based Intelligent Traffic Control System. American Journal of Embedded Systems and Applications, 7(1), 21-25. https://doi.org/10.11648/j.ajesa.20190701.13

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    ACS Style

    Md. Shamsul Arifin; Sheikh Alimur Razi; Akramul Haque; Nur Mohammad. A Microcontroller Based Intelligent Traffic Control System. Am. J. Embed. Syst. Appl. 2019, 7(1), 21-25. doi: 10.11648/j.ajesa.20190701.13

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    AMA Style

    Md. Shamsul Arifin, Sheikh Alimur Razi, Akramul Haque, Nur Mohammad. A Microcontroller Based Intelligent Traffic Control System. Am J Embed Syst Appl. 2019;7(1):21-25. doi: 10.11648/j.ajesa.20190701.13

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  • @article{10.11648/j.ajesa.20190701.13,
      author = {Md. Shamsul Arifin and Sheikh Alimur Razi and Akramul Haque and Nur Mohammad},
      title = {A Microcontroller Based Intelligent Traffic Control System},
      journal = {American Journal of Embedded Systems and Applications},
      volume = {7},
      number = {1},
      pages = {21-25},
      doi = {10.11648/j.ajesa.20190701.13},
      url = {https://doi.org/10.11648/j.ajesa.20190701.13},
      eprint = {https://download.sciencepg.com/pdf/10.11648.j.ajesa.20190701.13},
      abstract = {A new microcontroller based intelligent traffic control system is proposed in this paper. Instead of changing traffic lights automatically for a given interval, this system allows passing the vehicles considering the number of vehicles on the roads. An Atmega 32 microcontroller and infrared sensors (IR sensors) are used to implement the traffic system. An algorithm is also developed for this purpose. The system is simulated and implemented also by constructing a test rig. The results from the simulation and experimental test rig confirm its appropriateness of using in the roads of different cities. No further processing scheme is required for this intelligent traffic control system.},
     year = {2019}
    }
    

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    T1  - A Microcontroller Based Intelligent Traffic Control System
    AU  - Md. Shamsul Arifin
    AU  - Sheikh Alimur Razi
    AU  - Akramul Haque
    AU  - Nur Mohammad
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    T2  - American Journal of Embedded Systems and Applications
    JF  - American Journal of Embedded Systems and Applications
    JO  - American Journal of Embedded Systems and Applications
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    PB  - Science Publishing Group
    SN  - 2376-6085
    UR  - https://doi.org/10.11648/j.ajesa.20190701.13
    AB  - A new microcontroller based intelligent traffic control system is proposed in this paper. Instead of changing traffic lights automatically for a given interval, this system allows passing the vehicles considering the number of vehicles on the roads. An Atmega 32 microcontroller and infrared sensors (IR sensors) are used to implement the traffic system. An algorithm is also developed for this purpose. The system is simulated and implemented also by constructing a test rig. The results from the simulation and experimental test rig confirm its appropriateness of using in the roads of different cities. No further processing scheme is required for this intelligent traffic control system.
    VL  - 7
    IS  - 1
    ER  - 

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