Improving the prediction of air pollution peak episodes generated by urban transport networks

Mario Catalano, Fabio Galatioto, Margaret Bell, Anil Namdeo and Angela Bergantino

Environmental Science & Policy, 2016, vol. 60, issue C, 69-83

Abstract: This paper illustrates the early results of ongoing research developing novel methods to analyse and simulate the relationship between trasport-related air pollutant concentrations and easily accessible explanatory variables. The final scope is to integrate the new models in traditional traffic management support systems for a sustainable mobility of road vehicles in urban areas.

Keywords: Air quality forecasting; Exceedances of pollutant concentration limits; Nitrogen dioxide; Artificial neural network; ARIMAX model; Ensemble techniques (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (7)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:enscpo:v:60:y:2016:i:c:p:69-83

DOI: 10.1016/j.envsci.2016.03.008

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