S. Metia

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Emissions from motor vehicles need to be predicted fairly accurately to ensure an appropriate air quality management plan. This research work explores the use of a nonpara-metric regression algorithm known as the multivariate adap-tive regression splines (MARS) in comparison with the artificial neural networks (ANN) for the purpose of best approximation of(More)
Motor vehicles' rate models for predicting emissions of oxides of nitrogen (NOX) are insensitive to their modes of operation such as cruise, acceleration, deceleration and idle, because these models are usually based on the average trip speed. This study demonstrates the feasibility of using other variables such as vehicle speed, acceleration, load, power(More)
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