Estimating vehicular emissions by applying deep learning on video camera scenes

Estimating vehicular emissions by applying deep learning on video camera scenes | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Article Estimating vehicular emissions by applying deep learning on video camera scenes Paolo Santi, Ashutosh Kumar, Tom Benson, An Wang, Songhua Hu, and 5 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7256883/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted You are reading this latest preprint version Abstract Urban traffic remains an important source of anthropogenic carbon emissions, contributing significantly to climate change. Traffic-related air pollution poses a great public health threat to the urban population. However, cities globally have yet to devise a universal regulation approach due to traffic emissions' spatio-temporal heterogeneity. This study introduces an approach employing computer vision to map vehicle pollutants at the vehicle level. Our methodology utilizes a unique car model classification dataset, comprising 2.2 million images, enabling the classification of 4,923 car models. In addition, we associate each vehicle with its emissions using the EU standard vehicular emission model. To improve emission estimation accuracy, we use a modified version of COPERT that incorporates both velocity and acceleration. This enhancement provides a more refined representation of real-world driving conditions. By leveraging vehicle tracking and distance measurement from video footage, we estimate both speed and acceleration for all vehicles in the scene, offering a more comprehensive understanding of traffic dynamics and their influence on emissions. The application of our method in Amsterdam demonstrates the potential for real-time traffic flow detection and emission estimation worldwide. Our findings contribute to addressing the imperative vehicular emissions measurement and regulation challenges in dense urban areas globally. Earth and environmental sciences/Environmental sciences/Environmental impact Physical sciences/Mathematics and computing/Computer science Full Text Additional Declarations There is NO Competing Interest. Supplementary Files Supplementary.pdf Cite Share Download PDF Status: Under Review Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-7256883","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":496971673,"identity":"1c7d30ca-9eb8-4436-aa5a-0408b18f0a02","order_by":0,"name":"Paolo 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