Yıl: 2020 Cilt: 0 Sayı: Ejosat Özel Sayı 2020 (ICCEES) Sayfa Aralığı: 461 - 465 Metin Dili: İngilizce DOI: 10.31590/ejosat.819762 İndeks Tarihi: 31-10-2022

Data Mining in A Smart Traffic Light Control System Based on Image Processing and KNN Classification Algorithm

Öz:
In today's modern world, communication, transportation and the movement of people and merchandises are important, and doing so in the shortest possible time is also essential and vital. In the past decade, due to the significant increase in the number of passengers and vehicles along with the capacity limitations of communication arrays, it is absolutely necessary to apply new technologies to intelligent traffic control and management. The intelligent transportation system (ITS) utilizes advanced technologies in the fields of information processing, telecommunications and electronic control to meet transportation needs. The purpose of these systems is to streamline traffic in important and sensitive routes, and in addition to providing traffic safety, information, timely traffic control and the use of optimal capacity of transport arteries. This paper presents new method for extracting traffic parameters associated with a signalized highway using image processing and data mining KNN classification algorithm. These parameters include the length of red light LED, the volume of passing vehicles and the volume of pedestrians passing the highways in the green phase. In what follows, a Data Mining Traffic Light Control System is introduced, which by receiving the three traffic parameters mentioned above, proceeds to optimize the traffic signal timing. At the end, a two-phase common highway is simulated in the MATLAB software environment, and the results of the image processing algorithms and the Data Mining Traffic Light Control System designed for it are evaluated.
Anahtar Kelime: Two-phase Thresholding Blocking Data Mining Traffic Simulation Classification Face Detection Vehicle Detection KNN classification

Belge Türü: Makale Makale Türü: Araştırma Makalesi Erişim Türü: Erişime Açık
  • [1] Zheng, Jianyang, et al. "Detecting cycle failures at signalized intersections using video image processing." Computer Aided Civil and Infrastructure Engineering 21.6 (2006): 425-435.
  • [2] Reyes, Mac Michael. "Traffic Light Control System Simulation Through Vehicle Detection By Image Processing." (2008).
  • [3] Wang, Kunfeng, et al. "An automated vehicle counting system for traffic surveillance." Vehicular Electronics and Safety, 2007. ICVES. IEEE International Conference on. IEEE, 2007.
  • [4] Lee, Daeho, and Youngtae Park. "Measurement of traffic parameters in image sequence using spatio-temporal information." Measurement Science and Technology 19.11 (2008): 115503.
  • [5] Bhaskar, Lala, et al. "Intelligent traffic light controller using inductive loops for vehicle detection." Next Generation Computing Technologies (NGCT), 2015 1st International Conference on. IEEE, 2015.
  • [6] Hsu, W-L., et al. "Real-time traffic parameter extraction using entropy." IEE Proceedings-Vision, Image and Signal Processing 151.3 (2004): 194-202.
  • [7] Sivakumar, R., et al. "Automated traffic light control system and stolen vehicle detection." Recent Trends in Electronics, Information & Communication Technology (RTEICT), IEEE International Conference on. IEEE, 2016.
  • [8] Mirchandani, Pitu, and Larry Head. "A real-time traffic signal control system: architecture, algorithms, and analysis." Transportation Research Part C: Emerging Technologies 9.6 (2001): 415-432.
  • [9] Hu, Peiyun, and Deva Ramanan. "Finding tiny faces." 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2017.
  • [10] Zamani, Zahra, Mahmoud Pourmand, and Mohammad Hossein Saraee. "Application of data mining in traffic management: case of city of Isfahan." Electronic Computer Technology (ICECT), 2010 International Conference on. IEEE, 2010.
  • [11] Thakare, Vishakha S., et al. "Design of smart traffic light controller using embedded system." ISOR-JE 10.1 (2013): 30-3.
  • [12] Kotsiantis, Sotiris B., I. Zaharakis, and P. Pintelas. "Supervised machine learning: A review of classification techniques." (2007):3-24
APA Yusefi A, ALTUN A, Sungur C (2020). Data Mining in A Smart Traffic Light Control System Based on Image Processing and KNN Classification Algorithm. , 461 - 465. 10.31590/ejosat.819762
Chicago Yusefi Abdullah,ALTUN Adem Alpaslan,Sungur Cemil Data Mining in A Smart Traffic Light Control System Based on Image Processing and KNN Classification Algorithm. (2020): 461 - 465. 10.31590/ejosat.819762
MLA Yusefi Abdullah,ALTUN Adem Alpaslan,Sungur Cemil Data Mining in A Smart Traffic Light Control System Based on Image Processing and KNN Classification Algorithm. , 2020, ss.461 - 465. 10.31590/ejosat.819762
AMA Yusefi A,ALTUN A,Sungur C Data Mining in A Smart Traffic Light Control System Based on Image Processing and KNN Classification Algorithm. . 2020; 461 - 465. 10.31590/ejosat.819762
Vancouver Yusefi A,ALTUN A,Sungur C Data Mining in A Smart Traffic Light Control System Based on Image Processing and KNN Classification Algorithm. . 2020; 461 - 465. 10.31590/ejosat.819762
IEEE Yusefi A,ALTUN A,Sungur C "Data Mining in A Smart Traffic Light Control System Based on Image Processing and KNN Classification Algorithm." , ss.461 - 465, 2020. 10.31590/ejosat.819762
ISNAD Yusefi, Abdullah vd. "Data Mining in A Smart Traffic Light Control System Based on Image Processing and KNN Classification Algorithm". (2020), 461-465. https://doi.org/10.31590/ejosat.819762
APA Yusefi A, ALTUN A, Sungur C (2020). Data Mining in A Smart Traffic Light Control System Based on Image Processing and KNN Classification Algorithm. Avrupa Bilim ve Teknoloji Dergisi, 0(Ejosat Özel Sayı 2020 (ICCEES)), 461 - 465. 10.31590/ejosat.819762
Chicago Yusefi Abdullah,ALTUN Adem Alpaslan,Sungur Cemil Data Mining in A Smart Traffic Light Control System Based on Image Processing and KNN Classification Algorithm. Avrupa Bilim ve Teknoloji Dergisi 0, no.Ejosat Özel Sayı 2020 (ICCEES) (2020): 461 - 465. 10.31590/ejosat.819762
MLA Yusefi Abdullah,ALTUN Adem Alpaslan,Sungur Cemil Data Mining in A Smart Traffic Light Control System Based on Image Processing and KNN Classification Algorithm. Avrupa Bilim ve Teknoloji Dergisi, vol.0, no.Ejosat Özel Sayı 2020 (ICCEES), 2020, ss.461 - 465. 10.31590/ejosat.819762
AMA Yusefi A,ALTUN A,Sungur C Data Mining in A Smart Traffic Light Control System Based on Image Processing and KNN Classification Algorithm. Avrupa Bilim ve Teknoloji Dergisi. 2020; 0(Ejosat Özel Sayı 2020 (ICCEES)): 461 - 465. 10.31590/ejosat.819762
Vancouver Yusefi A,ALTUN A,Sungur C Data Mining in A Smart Traffic Light Control System Based on Image Processing and KNN Classification Algorithm. Avrupa Bilim ve Teknoloji Dergisi. 2020; 0(Ejosat Özel Sayı 2020 (ICCEES)): 461 - 465. 10.31590/ejosat.819762
IEEE Yusefi A,ALTUN A,Sungur C "Data Mining in A Smart Traffic Light Control System Based on Image Processing and KNN Classification Algorithm." Avrupa Bilim ve Teknoloji Dergisi, 0, ss.461 - 465, 2020. 10.31590/ejosat.819762
ISNAD Yusefi, Abdullah vd. "Data Mining in A Smart Traffic Light Control System Based on Image Processing and KNN Classification Algorithm". Avrupa Bilim ve Teknoloji Dergisi Ejosat Özel Sayı 2020 (ICCEES) (2020), 461-465. https://doi.org/10.31590/ejosat.819762