The Comprehensive Automobile Research System (CARS) – a Python-based automobile emissions inventory model

• Published in: Geoscientific Model Development Vol. 15; no. 12; pp. 4757 - 4781
• Main Authors: Baek, Bok H, Pedruzzi, Rizzieri, Park, Minwoo, Wang, Chi-Tsan, Kim, Younha, Song, Chul-Han, Woo, Jung-Hun
• Format: Journal Article
• Language: English
• Published: Katlenburg-Lindau Copernicus GmbH 21.06.2022; Copernicus Publications
• Subjects: Air; Air pollution; Air quality; Air quality models; Automobiles; Automotive emissions; Buses; Buses (vehicles); Carbon monoxide; Cold starts; Combustion products; Compressed gas; Datasets; Depth perception; Diesel; Diesel engines; Diesel fuels; Emission inventories; Emissions; Estimates; Exhaust emission; Gasoline; Geographic information systems; Geographical information systems; Geography; Greenhouse gases; Information systems; Inventory control; Mathematical models; Modelling; Motor vehicles; Natural gas; Nitrogen compounds; Nitrogen oxide; Nitrogen oxides; Organic compounds; Particulate emissions; Particulate matter; Particulate matter emissions; Photochemicals; Pollutants; Remote sensing; Resolution; Roads; Spatial discrimination; Spatial resolution; Sulfur; Sulfur oxides; Sulphur; Support systems; Suspended particulate matter; Toxins; Traffic speed; Travel; User needs; Vehicle emissions; Vehicles; Velocity; VOCs; Volatile organic compounds; United States > US; South Korea

The Comprehensive Automobile Research System (CARS) is an open-source Python-based automobile emissions inventory model designed to efficiently estimate high-quality emissions from motor vehicle emission sources. It can estimate air pollutant, greenhouse gas, and air toxin criteria at any spatial re...