Publication2026
Towards Intelligent Traffic Signal Control in Internet of Vehicles Using Artificial Intelligence
The record
- Type
- Publication
- Date
- 1 January 2026
- Level
- National
- Journal
- Esic 2026 Proceedings 6th International Conference on Emerging Systems and Intelligent Computing
- Pages
- 485-490
- Published
- 1 January 2026
- DOI
- 10.1109/esic68176.2026.11495889
- Scopus ID
- 105040813370
- 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
Reviews AI-based intelligent traffic signal control methods for IoV systems, comparing reinforcement learning approaches showing 30-50% reduction in traffic delays and congestion.
- 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
13 Take urgent action to combat climate change and its impacts
Analyzes impact of adaptive traffic management on CO2 emissions reduction through optimized signal control in cities, supporting climate mitigation and air quality improvement goals.
- 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-2.4 Infrastructure and connectivity
Surveys artificial intelligence approaches for smart transportation infrastructure, enabling efficient mobility systems that reduce congestion and environmental impact 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. “Towards Intelligent Traffic Signal Control in Internet of Vehicles Using Artificial Intelligence”. Kortex.