Gross polluters and vehicle emissions reduction

Vehicle emissions produce an important share of a city’s air pollution, with substantial impact on the environment and human health. Traditional emission estimation methods use remote sensing stations, missing full driving cycle vehicles, or focus few vehicles. We have used GPS traces microscopic model to analyse four pollutants from thousands private vehicles in three European cities. found that across roads are well approximated by heavy-tailed distributions thus discovered existence gross polluters, responsible for greatest quantity emissions, grossly polluted roads, which suffer amount emissions. Our simulations show reduction policies targeting polluters far more effective than those limiting circulation based uninformed choice study contributes shaping discussion how measure digital data. Vehicles large urban but estimates omit only Using traces, cities estimated identify roads.