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.
Published in | American Journal of Embedded Systems and Applications (Volume 7, Issue 1) |
DOI | 10.11648/j.ajesa.20190701.13 |
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), 2019. Published by Science Publishing Group |
Microcontroller, IR Sensors, Traffic Control System
[1] | M. S. Arifin, M. R. Palash, M. I. Khalil, M. M. S. Khan, and M. H. Haque, “A Microcontroller Based Smart Traffic System” GUB J. Sci. Eng., vol. 2, no. 1, pp. 40–44, 2015. |
[2] | W. Sun and K. C. Mouskos, “Network-wide traffic responsive signal control in urban environments,” in Joint Conference on Information Sciences, pp. 734–737,2000. |
[3] | R. Sundar, S. Hebbar, and V. Golla, “Implementing intelligent traffic control system for congestion control, ambulance clearance, and stolen vehicle detection,” IEEE Sens. J., vol. 15, no. 2, pp. 1109–1113, 2015. |
[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. |
[5] | A. Goel, S. Ray, and S. Chandra, “Intelligent Traffic Light System to Prioritized Emergency Purpose Vechicles based on Wireless Sensor Network,” Int. J. Comput. Appl. 2012. |
[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. |
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
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
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
@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://article.sciencepublishinggroup.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} }
TY - JOUR T1 - A Microcontroller Based Intelligent Traffic Control System AU - Md. Shamsul Arifin AU - Sheikh Alimur Razi AU - Akramul Haque AU - Nur Mohammad Y1 - 2019/05/09 PY - 2019 N1 - https://doi.org/10.11648/j.ajesa.20190701.13 DO - 10.11648/j.ajesa.20190701.13 T2 - American Journal of Embedded Systems and Applications JF - American Journal of Embedded Systems and Applications JO - American Journal of Embedded Systems and Applications SP - 21 EP - 25 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 -