Machine learning based adaptive traffic prediction and control using edge impulse platform

Machine learning based adaptive traffic prediction and control using edge impulse platform

Abstract Traffic congestion and delays are two major challenges in modern vehicle traffic control systems. These issues can be mitigated through an efficient and autonomous traffic scheduling system. The objective of the proposed methodology is to automate the traffic control system based on the den...

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Bibliographic Details
Main Authors: Manoj Tolani, G. E. Saathwik, Ayush Roy, L. A. Ameeth, Dhanush Bharadwaj Rao, Ambar Bajpai, Arun Balodi
Format: Article
Language:English
Published: Nature Portfolio 2025-05-01
Series:Scientific Reports
Subjects:
Traffic prediction
Traffic control
Artificial intelligence
Machine learning
TinyML
Internet of things
Online Access:https://doi.org/10.1038/s41598-025-00762-4
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https://doi.org/10.1038/s41598-025-00762-4

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