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Angatha, Rama Kanth, Kurre, Sai Sahitya. (1404). Predictive Modeling of Traffic-Related Air Pollution in Urban Areas: Insights from Road Mid-Block Sections. , 11(4), 1473-1488. doi: 10.22059/poll.2025.396065.2951
Rama Kanth Angatha; Sai Sahitya Kurre. "Predictive Modeling of Traffic-Related Air Pollution in Urban Areas: Insights from Road Mid-Block Sections". , 11, 4, 1404, 1473-1488. doi: 10.22059/poll.2025.396065.2951
Angatha, Rama Kanth, Kurre, Sai Sahitya. (1404). 'Predictive Modeling of Traffic-Related Air Pollution in Urban Areas: Insights from Road Mid-Block Sections', , 11(4), pp. 1473-1488. doi: 10.22059/poll.2025.396065.2951
Angatha, Rama Kanth, Kurre, Sai Sahitya. Predictive Modeling of Traffic-Related Air Pollution in Urban Areas: Insights from Road Mid-Block Sections. , 1404; 11(4): 1473-1488. doi: 10.22059/poll.2025.396065.2951

Predictive Modeling of Traffic-Related Air Pollution in Urban Areas: Insights from Road Mid-Block Sections

Pollution
دوره 11، شماره 4، دی 2025، صفحه 1473-1488    اصل مقاله (1.15 M)
نوع مقاله: Original Research Paper
شناسه دیجیتال (DOI): 10.22059/poll.2025.396065.2951
نویسندگان
Rama Kanth Angatha1؛ Sai Sahitya Kurre* 2
1Department of Civil Engineering, Marri Laxman Reddy Institute of Technology and Management, Hyderabad-500043, India
2Department of Civil Engineering, VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad, Telangana, India
چکیده
Roads and highways are vital to a nation's economic and social development. However, the surge in transportation demand has led to heightened vehicular emissions, particularly at urban mid-block sections. This study presents predictive models for estimating pollutant concentrations of CO, HCHO, TVOCs, PM₂.₅, and PM10 a Green House Gas (GHG) CO2 based on traffic flow and vehicle type data collected across 18 urban mid-blocks in Warangal, Tirupati, and Vijayawada. Three models such as MLR, SVR, and ANN were developed, with ANN achieving the highest performance (R² > 0.90 for all pollutants). Peak concentrations of CO (1180 ppm) and PM₂.₅ (over 100 µg/m³) were observed during evening hours (7–8 PM), coinciding with traffic volumes exceeding 4000 PCU/hr. A strong correlation (R² > 0.7) between traffic volume and pollutant levels was confirmed across all models. These findings provide actionable insights for urban transport planners to forecast and mitigate traffic-related air pollution at mid-block sections in similar urban environments.
کلیدواژه‌ها
Pollutant Concentrations؛ Models؛ Traffic Flow؛ Road Sections؛ Modelling؛ Mid-Block Sections
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