new methodological framework for within-day dynamic estimation of pollutant emissions in a large congested urban network

• Main Authors: Stefano Gori, Simone La Spada, Livia Mannini, Marialisa Nigro
• Format: Article
• Language: English
• Published: TU Delft Open 2014-06-01
• Series: European Journal of Transport and Infrastructure Research
• Online Access: https://journals.open.tudelft.nl/ejtir/article/view/3034

This paper presents a new methodological framework to address the problem of estimating pollutant emissions for large congested urban networks in a within-day dynamic context. It consists of three main modules: 1) a module to compute pollutant emissions for general links; 2) a module to compute pollutant emissions for all links approaching a signalized intersection; 3) a module to compute pollutant emissions for all links approaching an unsignalized intersection. A dynamic mesoscopic assignment model is performed to derive the main dynamic input of each one of the modules. All the modules have been tested in a real case study (the district of Eur in the city of Rome, Italy), so confirming the reliability of the developed models and their applicability for the estimation of pollutant emissions.