A congestion sensitive approach to modelling road networks for air quality management

O', James, Brien, N.A., Namdeo, Anil, Bell, Margaret and Goodman, Paul (2014) A congestion sensitive approach to modelling road networks for air quality management. International Journal of Environment and Pollution, 54 (2/3/4). p. 213. ISSN 0957-4352

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Official URL: https://doi.org/10.1504/IJEP.2014.065122

Abstract

This research establishes an approach to modelling a congested road network for air quality management, which enables the assessment of traffic management solutions that may create only subtle changes in the traffic flow regimes. Road network emissions have been calculated using standard factors taking into account details of vehicle fleet composition, average speeds and road type. Additionally, the use of microsimulation traffic modelling in conjunction with an instantaneous emissions model (IEM) has been adopted to allow comparison between methodologies and enable congestion sensitive analysis of the impact of air quality management measures on the network. Findings from microscale modelling have revealed that the use of an IEM to calculate emissions as an input for air quality dispersion modelling significantly improved the performance of the dispersion modelling when measured against monitored data. Moreover, this methodology has been successfully applied to assess the performance of a traffic scheme in Durham, UK.

Item Type: Article
Uncontrolled Keywords: Air quality, Dispersion modelling, Emissions, IEM, Instantaneous emissions model, Microsimulation
Subjects: H800 Chemical, Process and Energy Engineering
K900 Others in Architecture, Building and Planning
N800 Tourism, Transport and Travel
Department: Faculties > Engineering and Environment > Geography and Environmental Sciences
Depositing User: Rachel Branson
Date Deposited: 29 Jun 2020 12:53
Last Modified: 29 Jun 2020 13:00
URI: http://nrl.northumbria.ac.uk/id/eprint/43597

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