10.46243/jst.2023.v8.i12.pp156-167 registered
AI-powered Approach for Accident Occurance Alerting from Traffic Surveillance
Resolves to https://www.jst.org.in/index.php/pub/article/view/882
Held by Longman Publishers (India) · prefix 10.46243 live · DOI address https://doi.org/10.46243/jst.2023.v8.i12.pp156-167
Registered 29 Sep 2026 via crossref · record version 2 · last change 29 Sep 2026, 11:59 PM · record sha256 e2584ffb4053f670…
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What the DOI identifies
JournalArticle — an article in a journal · Digital · Visual · en
AI-powered Approach for Accident Occurance Alerting from Traffic Surveillance (PrincipalTitle)
Published 2023-12-12
Part of Journal of Science & Technology · ISSN 2456-5660 · volume 8 · issue 12 · pages 156–167
Agents
- S. Samreen S. Samreen (author)
- Longman Publishers (publisher)
Identifiers DOI 10.46243/jst.2023.v8.i12.pp156-167
Abstract
v Accidents have been a major cause of deaths in India. More than 80% of accident-related deaths occur not due to the accident itself but the lack of timely help reaching the accident victims. In highways where the traffic is light and fast-paced an accident victim could be left unattended for a long time. The intent is to create a system which would detect an accident based on the live feed of video from a CCTV camera installed on a highway. The idea is to take each frame of a video and run it through a deep learning convolution neural network model which has been trained to classify frames of a video into accident or non-accident. Convolutional Neural Networks has proven to be a fast and accurate approach to classify images. CNN based image classifiers have given accuracy’s of more than 95% for comparatively smaller datasets and require less preprocessing as compared to other image classifying algorithms
System metadata — ISO 26324:2025, Annex B · DOI Handbook 10.1
Each element by the standard's name (Annex B: reference elements, then administrative) and the Handbook's (in grey), read off the record above.
| Element | Value | In the record |
|---|---|---|
| DOI Name DOI name | 10.46243/jst.2023.v8.i12.pp156-167 | doi |
| Referent Type referentType | Creation | referent |
| Referent Sub-Type referentSubType | JournalArticle — an article in a journal | type |
| Referent Name(s) referentName(s) | AI-powered Approach for Accident Occurance Alerting from Traffic Surveillance (PrincipalTitle, en) | titles |
| Basic Metadata basicMetadata | author: S. Samreen S. Samreen publisher: Longman Publishers published: 2023-12-12 part of: Journal of Science & Technology · ISSN 2456-5660 · vol. 8 · no. 12 · pp. 156–167 language: en form: Digital · Visual · Language | agents, dates, container, language, structural_type, modes, characters |
| Referent Identifier(s) alternateIdentifier(s) | none besides the DOI | identifiers, relations (IsSameAs) |
| Registration Authority registrationAuthorityCode | Crossref — issued by Crossref (member 25296); held here as a copy | record.source_agency (our code, ra_doi_name, for names issued here once appointed) |
| Created Date issueDate | 2024-02-16 | record.registered (when the DOI name was first registered) |
| relatedIdentifiers | none needed — the descriptive metadata is in this record | container, relations (only where the descriptive metadata lives at another identifier) |
complete Every System Metadata element is here, with the basic metadata a journal article needs.
The System Metadata Declaration (JSON) · the Kernel Metadata Declaration (XML) · what each sub-type needs
History — the ledger
Every change to this DOI, in order, as it was recorded. Entries are only ever added, never changed or removed.
| # | When | What | By | Changes |
|---|---|---|---|---|
| 1 | 29 Sep 2026, 10:00 PM | register registered at Crossref; record read from api.crossref.org | Administrator (admin) | 77 fields set · sha256 1718c149a04c… |
| 2 | 29 Sep 2026, 11:59 PM | update record re-read from api.crossref.org | Administrator (admin) | container.titles.0.value: |
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