International Journal For Multidisciplinary Research

E-ISSN: 2582-2160     Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 6 Issue 3 May-June 2024 Submit your research before last 3 days of June to publish your research paper in the issue of May-June.

Road Traffic Forecasting using AirPollution and Atmospheric Data

Author(s) Nithya P, Sivamurugan S, Vedapriya N, Vijayashree K
Country India
Abstract In this paper, we propose a novel machine learning approach integrating environmental data into road traffic forecasting models. By leveraging historical data on road traffic, air pollution, and atmospheric parameters, we develop predictive models capable of capturing the intricate interplay between traffic patterns and environmental conditions. Our experimental results demonstrate the effectiveness of our approach in improving traffic forecast accuracy compared to conventional methods. This research contributes to advancing understanding of how environmental factors impact traffic dynamics, offering practical insights for enhancing urban transportation management strategies.
Keywords Machine Learning , Air Pollutant , Pollution , Traffic , Traffic pollution , Atmospheric data , Accuracy , Human Health , Sustainable Environment
Field Engineering
Published In Volume 6, Issue 3, May-June 2024
Published On 2024-05-16
Cite This Road Traffic Forecasting using AirPollution and Atmospheric Data - Nithya P, Sivamurugan S, Vedapriya N, Vijayashree K - IJFMR Volume 6, Issue 3, May-June 2024. DOI 10.36948/ijfmr.2024.v06i03.20402
DOI https://doi.org/10.36948/ijfmr.2024.v06i03.20402
Short DOI https://doi.org/gtvtzz

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