This analysis reveals driving behaviors affect carbon monoxide and hydrocarbon emissions in vehicles, suggesting strategies for emission management.
With the rapid growth of motor vehicle ownership, vehicle exhaust has become a major source of urban air pollution. This study constructs a mathematical mod-eling system for carbon monoxide (CO) and hydrocarbon (HC) emissions based on real road observation data, focusing on speed-emission relationships, optimal driving speed, driving behavior impacts, and accident-induced idling emissions. Results show the "emission rate-speed" model outperforms "mileage emis-sion-speed" (CO emission rate R²≈0.994); HC’s optimal speed is ~25 mile/h (practical), while CO’s optimal speed exceeds real limits; variable-speed driving increases instantaneous emission fluctuations; 200 vehicles idling 30 minutes emit ~1754g CO and ~189g HC. This study provides a scientific basis for traffic emission management.
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Xu et al. (2025) studied this question.
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