Publication2021
Analysis and Prevention of Road Accidents
- Good Health and Well-being
- Sustainable Cities and Communities
- Empowered Indians
The record
- Type
- Publication
- Date
- 1 January 2021
- Level
- National
- Journal
- Lecture Notes in Electrical Engineering
- Volume
- 709
- Pages
- 107-118
- Published
- 1 January 2021
- DOI
- 10.1007/978-981-15-8752-8_11
- Scopus ID
- 85101366987
- ISSN
- 18761100
- Authors
- 2
- Open access
- No
- Citations
- 2
- International co-authorship
- No
- Co-author countries
- IN
Classification
Every label below carries the reasoning it was assigned on, the confidence band it was assigned in, and what produced it. The rubric is published.
UN Sustainable Development Goals
3.6 Halve global deaths and injuries from road traffic accidents
Data mining analysis identifies root causes of road accidents and proposes evidence-based safety measures to prevent traffic-related injuries and mortality.
- High confidence
- The subject matter is a strong and direct inference from the record type, the funding or organising body, or the programme context, even where the title alone is thin. Example: an ICMR-funded project against SDG 3, on the strength of the agency.
- Judged
- Judged against the published classification rubric, under the rubric and prompt versions recorded with the run that produced it.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
11.2 Provide access to safe, affordable, accessible and sustainable transport systems for all
Research on accident prevention mechanisms supports development of safer transportation systems and infrastructure for urban and rural populations.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Viksit Bharat @2047
vb-1 Empowered Indians
Derived through the seeded SDG-to-Viksit-Bharat crosswalk from the primary SDG 3 label. Data mining analysis identifies root causes of road accidents and proposes evidence-based safety measures to prevent traffic-related injuries and mortality.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Each label above carries the instrument and the version that produced it. How each classification is reached.
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Provenance
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- Source rows resolved into this record
- 1
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Citing this record
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KIIT Deemed to be University. “Analysis and Prevention of Road Accidents”. Kortex.