Publication2024
Intelligent Machine Learning Framework for Classification of Vehicular Traffic in Internet of Vehicles
- Industry, Innovation and Infrastructure
- Sustainable Cities and Communities
- Thriving and Sustainable Economy
The record
- Type
- Publication
- Date
- 1 January 2024
- Level
- National
- Journal
- 2024 3rd International Conference on Power Electronics and Iot Applications in Renewable Energy and Its Control Parc 2024
- Pages
- 41-46
- Published
- 1 January 2024
- DOI
- 10.1109/parc59193.2024.10486305
- Scopus ID
- 85190974916
- Authors
- 4
- Open access
- No
- Citations
- 0
- 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
11 Make cities and human settlements inclusive, safe, resilient and sustainable
Machine learning framework for vehicular traffic classification and path optimization to reduce congestion and travel times in urban areas.
- 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
9.5 Enhance scientific research, upgrade technological capabilities, and increase researchers and R&D spending
Advanced algorithms and data analysis for smart transportation infrastructure and traffic management systems.
- Moderate confidence
- The alignment is plausible and defensible but rests on an assumption a reasonable reviewer could decline. Published, and surfaced in the review queue for a human to confirm or override.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Viksit Bharat @2047
vb-2 Thriving and Sustainable Economy
Derived through the seeded SDG-to-Viksit-Bharat crosswalk from the primary SDG 11 label. Machine learning framework for vehicular traffic classification and path optimization to reduce congestion and travel times in urban areas.
- 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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- Source rows resolved into this record
- 1
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Citing this record
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KIIT Deemed to be University. “Intelligent Machine Learning Framework for Classification of Vehicular Traffic in Internet of Vehicles”. Kortex.