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Traffic
model
The model is designed to accurately predict road traffic counts, playing a crucial role in enhancing air quality and noise modelling. By offering a more detailed dataset on emissions, particularly for minor and residential roads, the model's predictions are instrumental. Beyond just traffic data, the model's insights are also geared towards pioneering new metrics and models within the exposome framework.
The model utilizes the advanced Multivariate Adaptive Regression Splines (MARS) methodology, adept at modeling non-linear relationships and intricate interactions between variables.
Responsible: John Gulliver
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