Cite this DOI

Kulkarni, S., Ugale, S., Jawale, H., & Shinde, D. A. (2021). Reviewon Traffic Congestion DetectionusingImage Processing. *Journal of Science & Technology*, *06*(02), 109–113. https://doi.org/10.46243/jst.2021.v6.i2.pp109-113

@article{kulkarni2021reviewon,
  author    = {Kulkarni, Sahana and Ugale, Sumit and Jawale, Himanshu and Shinde, Dr. Amita},
  title     = {{Reviewon Traffic Congestion DetectionusingImage Processing}},
  journal   = {Journal of Science \& Technology},
  year      = {2021},
  month     = {mar},
  volume    = {06},
  number    = {02},
  pages     = {109--113},
  publisher = {Longman Publishers},
  issn      = {2456-5660},
  doi       = {10.46243/jst.2021.v6.i2.pp109-113},
  url       = {https://doi.org/10.46243/jst.2021.v6.i2.pp109-113},
  language  = {en},
  abstract  = {This paper presents a review on various image processing techniques used to detect traffic congestion. The conventional traffic light system has a fixed time cycle regardless of the traffic congestion. To reduce traffic congestion, system that controls the traffic lights based on number of vehicles can be designed. Heavy flow of vehicles at any particular side can be given higher priority for efficient vehicle management. Detection of real-time traffic congestion is necessary. In this paper, various image processing algorithms such as background subtraction, edge detection, etc. are discussed.}
}

TY  - JOUR
TI  - Reviewon Traffic Congestion DetectionusingImage Processing
AU  - Kulkarni, Sahana
AU  - Ugale, Sumit
AU  - Jawale, Himanshu
AU  - Shinde, Dr. Amita
JO  - Journal of Science & Technology
PY  - 2021
DA  - 2021/03/08/
VL  - 06
IS  - 02
SP  - 109
EP  - 113
PB  - Longman Publishers
SN  - 2456-5660
LA  - en
AB  - This paper presents a review on various image processing techniques used to detect traffic congestion. The conventional traffic light system has a fixed time cycle regardless of the traffic congestion. To reduce traffic congestion, system that controls the traffic lights based on number of vehicles can be designed. Heavy flow of vehicles at any particular side can be given higher priority for efficient vehicle management. Detection of real-time traffic congestion is necessary. In this paper, various image processing algorithms such as background subtraction, edge detection, etc. are discussed.
DO  - 10.46243/jst.2021.v6.i2.pp109-113
UR  - https://doi.org/10.46243/jst.2021.v6.i2.pp109-113
ER  -

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    "URL": "https://doi.org/10.46243/jst.2021.v6.i2.pp109-113",
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    "abstract": "This paper presents a review on various image processing techniques used to detect traffic congestion. The conventional traffic light system has a fixed time cycle regardless of the traffic congestion. To reduce traffic congestion, system that controls the traffic lights based on number of vehicles can be designed. Heavy flow of vehicles at any particular side can be given higher priority for efficient vehicle management. Detection of real-time traffic congestion is necessary. In this paper, various image processing algorithms such as background subtraction, edge detection, etc. are discussed.",
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From the record as registered (version 2) — the record and its history. Programs: https://registry.smartscholars.in/api.php?action=cite&doi=10.46243%2Fjst.2021.v6.i2.pp109-113 gives all four in one JSON answer.