{ "ok": true, "doi": "10.46243/jst.2021.v6.i2.pp109-113", "doi_display": "10.46243/jst.2021.v6.i2.pp109-113", "doi_url": "https://doi.org/10.46243/jst.2021.v6.i2.pp109-113", "state": "registered", "url": "https://www.jst.org.in/index.php/pub/article/view/322", "title": "Reviewon Traffic Congestion DetectionusingImage Processing", "version": 2, "registered_via": "crossref", "prefix": { "prefix": "10.46243", "status": "live" }, "registrant": { "name": "Longman Publishers", "kind": "publisher", "country": "India" }, "reserved_at": null, "registered_at": "2026-09-29 22:00:37", "updated_at": "2026-09-29 23:59:57", "withdrawn_at": null, "withdrawn_reason": null, "record": { "format": "smartscholars-doi-metadata/1.0", "doi": "10.46243/jst.2021.v6.i2.pp109-113", "referent": "Creation", "type": "JournalArticle", "structural_type": "Digital", "modes": [ "Visual" ], "characters": [ "Language" ], "titles": [ { "value": "Reviewon Traffic Congestion DetectionusingImage Processing", "type": "PrincipalTitle", "lang": "en" } ], "identifiers": [ { "type": "DOI", "value": "10.46243/jst.2021.v6.i2.pp109-113" } ], "agents": [ { "role": "author", "name": { "given": "Sahana", "family": "Kulkarni" }, "sequence": "first" }, { "role": "author", "name": { "given": "Sumit", "family": "Ugale" }, "sequence": "additional" }, { "role": "author", "name": { "given": "Himanshu", "family": "Jawale" }, "sequence": "additional" }, { "role": "author", "name": { "given": "Dr. Amita", "family": "Shinde" }, "sequence": "additional" }, { "role": "publisher", "name": { "org": "Longman Publishers" } } ], "dates": { "published": "2021-03-08", "date_type": "PublicationDate", "online": "2021-03-08" }, "language": "en", "container": { "type": "Journal", "titles": [ { "value": "Journal of Science & Technology", "type": "PrincipalTitle" } ], "identifiers": [ { "type": "ISSN", "value": "2456-5660", "medium": "electronic" } ], "volume": "06", "issue": "02", "pages": { "first": "109", "last": "113" } }, "links": [ { "url": "https://www.jst.org.in/index.php/pub/article/view/322", "return_type": "text/html", "primary": true }, { "url": "https://www.jst.org.in/index.php/pub/article/download/322/287", "purpose": "text-mining", "return_type": "application/pdf" }, { "url": "https://www.jst.org.in/index.php/pub/article/download/322/2486", "purpose": "text-mining", "return_type": "application/xml" }, { "url": "https://www.jst.org.in/index.php/pub/article/view/322/287", "purpose": "similarity-checking" } ], "abstract": { "value": "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.", "lang": "en" }, "license": { "url": "https://creativecommons.org/licenses/by/4.0/", "start": "2021-03-08", "applies_to": "vor" }, "references": [ { "key": "ref1", "doi": "10.1109/iccubea.2018.8697838", "unstructured": "Aditya Rao, AkshayPhadnis, Atul Patil, Tejal Rajput, Dr. Prof. Pravin Futane, “Dynamic Traffic System Based On Real Time Detection Of Traffic Congestion,” 2018 Fourth International Conference on Computing Communication Control and Automation (ICCUBEA)" }, { "key": "ref2", "doi": "10.1109/icist49303.2020.9202144", "unstructured": "Sin-Chun Ng, Chok-Pang Kwok, Yui-Chung Fung, Chun-Yung So, Yuen-Ho Lam, “A Hybrid Intelligent Traffic Light System for Solving Traffic Congestion in Hong Kong”, 10th International Conference on Information Science and Technology Bath, United Kingdom, September 9-15, 2020, pp. 258-265" }, { "key": "ref3", "doi": "10.1109/icoei48184.2020.9143058", "unstructured": "ArghyaGuchhait, DebdattaKandar, “Multiple Vehicle Detection using C-OFDM Based RADAR for Advanced Collision Warning,” Fourth International Conference on Trends in Electronics and Informatics (ICOEI 2020), pp. 164-168" }, { "key": "ref4", "doi": "10.1109/icct.2017.8359891", "unstructured": "Chan-Tong Lam, Hanyang Gao, Benjamin Ng, “A Real-Time Traffic Congestion Detection System Using On-Line Images,” 2017 17th IEEE International Conference on Communication Technology, pp. 1548-1552" }, { "key": "ref5", "doi": "10.1109/iccwamtip.2017.8301495", "unstructured": "Mudassir Khalil, Jianping Li, Abida Sharif, Jalaluddin Khan, “Traffic Congestion Detection By Use Of Satellites View”, pp. 278-280" }, { "key": "ref6", "doi": "10.1109/iconstem.2019.8918779", "unstructured": "V.Ellappan, B.Sindhusaranya, TadesseHailu, “Multi Inteligent Traffic Light Optimization techniques by appling Modified Component Analysis Algorithm,” 2019 Fifth International Conference on Science Technology Engineering and Mathematics (ICONSTEM), pp. 316-318" }, { "key": "ref7", "doi": "10.1109/iccsp.2018.8524501", "unstructured": "Sarath S and Deepthi L.R., “Priority Based Real Time Smart Traffic Control System Using Dynamic Background,” International Conference on Communication and Signal Processing, April 3-5, 2018, India, pp. 0620-0622" }, { "key": "ref8", "doi": "10.1109/ic4me2.2018.8465599", "unstructured": "Partha Narayan Chowdhury, Tonmoy Chandra Ray, Jia Uddin, “A Vehicle Detection Technique for Traffic Management using Image Processing”" }, { "key": "ref9", "doi": "10.1109/icraect.2017.48", "unstructured": "Mallikarjun Anandhalli and Vishwanath P. Baligar, “Vehicle Detection and Tracking Based On Color Feature,” 2017 International Conference on Recent Advances in Electronics and Communication Technology, pp. 240-248" }, { "key": "ref10", "doi": "10.1109/icicct.2017.7975196", "unstructured": "Ch.Jaya Lakshmi and S.Kalpana, “Intelligent Traffic Signalling System,” International Conference on Inventive Communication and Computational Technologies (ICICCT 2017), pp. 247-251" } ], "record": { "registrant": "Longman Publishers", "registered": "2026-09-08", "updated": "2026-09-20", "issue_number": 1, "source": "crossref-api", "source_agency": "Crossref (member 25296)" } }, "record_sha256": "8c0f97c006842e06e2bbeee49f886702e02cbc54276581a474a4396f2be2de86", "handle": { "synced_at": "2026-10-01 18:13:44", "url": "https://www.jst.org.in/index.php/pub/article/view/322" }, "links": { "record_page": "https://registry.smartscholars.in/record.php?doi=10.46243%2Fjst.2021.v6.i2.pp109-113", "system_metadata": "https://registry.smartscholars.in/resolve.php?doi=10.46243%2Fjst.2021.v6.i2.pp109-113&as=system", "history": "https://registry.smartscholars.in/api.php?action=history&doi=10.46243%2Fjst.2021.v6.i2.pp109-113", "kernel_xml": "https://registry.smartscholars.in/resolve.php?doi=10.46243%2Fjst.2021.v6.i2.pp109-113&as=xml" } }