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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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 |
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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: | 31 Jul 2021 11:33 |
URI: | http://nrl.northumbria.ac.uk/id/eprint/43597 |
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