City‐wide emissions modelling using fleet probe vehicles. Issue 9 (27th September 2018)

• Record Type: Journal Article
• Authors: Rushton, Christopher; Galatioto, Fabio; Wright, James; Nielsen, Erik; Tsotskas, Christos
• Is Part Of: IET intelligent transport systems. Volume 12:Issue 9(2018)
• Page Start: 1181
• Page End: 1188
• Publication Date: 2018-09-27
• Subjects: road traffic -- environmental science computing -- air pollution -- road vehicles -- electric vehicles -- geographic information systems -- Global Positioning System -- traffic engineering computing -- hybrid electric vehicles -- road traffic control -- control engineering computing -- engines; fleet probe vehicles -- clean air zones -- air quality -- nitrogen dioxide -- extended range electric vehicles -- geographic information system -- global positioning system -- ACCRA decision‐making engine -- geofencing AQ zones -- autonomous and connected vehicles for CleaneR air -- vehicle emissions modelling -- city‐wide emissions modelling -- urban traffic management control system; Intelligent transportation systems -- Periodicals; Electronics in transportation -- Periodicals; 388.31205
• DOI: 10.1049/iet-its.2018.5217
• Languages: English
• ISSNs: 1751-956X

Abstract

Abstract : Five UK cities will implement clean air zones to improve air quality (AQ), specifically in relation to oxides of nitrogen, and 253 UK local authorities have declared AQ management areas. Extended range electric vehicles can offer zero emission (ZE) operation but cities lack the ability to monitor and control when vehicles can switch from engine to battery. Project Autonomous and Connected vehicles for CleaneR Air (ACCRA) aims to develop and demonstrate a system allowing hybrid vehicle to become part of a city's urban traffic management control system; monitoring the vehicles' location and operational state, and controlling the strategy to ensure ZE operation through geofenced zones with poor AQ. This study demonstrates a new methodology to model emissions using state‐of‐the‐art instantaneous vehicle emissions modelling, geographic information system (GIS) and a new method for capturing vehicle behaviour using global positioning system. Probe vehicles were used for the pilot study in Leeds, UK, to capture drive‐cycle data and the emissions are modelled. A GIS interface is used to match these emissions to the network. Finally, a high‐resolution emissions map is generated to be used as input for AQ dispersion models and the ACCRA decision‐making engine for the generation of geofencing AQ zones.