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A new modelling approach for road traffic emissions: VERSIT+

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Author: Smit, R. · Smokers, R.T.M. · Rabé, E.L.M.
Type:article
Date:2007
Place: Amsterdam
Source:Transportation Research Part D: Transport and Environment, 6, 12, 414-422
Identifier: 240115
Keywords: Traffic · Light vehicle pollution · Traffic emissions · VERSIT+ LD · Algorithms · Environmental engineering · Linear regression · Mathematical models · Particulate emissions · Light vehicle pollution · Road traffic emissions · Statistical models · Air pollution · Modelling · Multiple regression · Pollution monitoring · Software

Abstract

The objective of VERSIT+ LD is to predict traffic stream emissions for light-duty vehicles in any particular traffic situation. With respect to hot running emissions, VERSIT+ LD consists of a set of statistical models for detailed vehicle categories that have been constructed using multiple linear regression analysis. The aim is to find empirical relationships between mean emission factors, including confidence intervals, and a limited number of speed-time profile and vehicle related variables. VERSIT+ is a versatile model that has already been used in different projects at different geographical levels. Compared to COPERT IV, the VERSIT+ average speed algorithms provide increased accuracy with respect to the prediction of emissions in specific traffic situations.