Publication2023
Development of crash prediction models by assessing the role of perpetrators and victims: a comparison of ANN & logistic model using historical crash data
- Good Health and Well-being
- Empowered Indians
The record
- Type
- Publication
- Date
- 1 January 2023
- Level
- National
- Journal
- International Journal of Injury Control and Safety Promotion
- Volume
- 30
- Issue
- 2
- Pages
- 155-171
- Published
- 1 January 2023
- DOI
- 10.1080/17457300.2022.2089899
- Scopus ID
- 85132346404
- ISSN
- 17457300
- Authors
- 7
- Open access
- No
- Citations
- 16
- 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
Develops crash prediction models using historical road accident data to assess perpetrator and victim vehicle types, revealing heavy vehicles as perpetrators and vulnerable users as victims have highest fatality rates.
- 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
Viksit Bharat @2047
vb-1 Empowered Indians
Derived through the seeded SDG-to-Viksit-Bharat crosswalk from the primary SDG 3 label. Develops crash prediction models using historical road accident data to assess perpetrator and victim vehicle types, revealing heavy vehicles as perpetrators and vulnerable users as victims have highest fatality rates.
- 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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- 1
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Citing this record
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KIIT Deemed to be University. “Development of crash prediction models by assessing the role of perpetrators and victims: a comparison of ANN & logistic model using historical crash data”. Kortex.