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Details of Grant 

EPSRC Reference: EP/E002129/1
Title: Pervasive Mobile Environmental Sensor Grids
Principal Investigator: Blythe, Professor PT
Other Investigators:
Watson, Professor P Sharif, Professor B
Researcher Co-Investigators:
Project Partners:
Abington Partners Arup Group Ltd Atkins Design Environment & Engineering
Boeing (International) Cambridge City Council Hampshire County Council
Highways Agency IBM UK Ltd ITIS Holdings plc
Leicester Partnership National Physical Laboratory NPL Nokia
Owlstone Limited PTV System Software und Consulting GmbH Serco
Thales Ltd Transport for London Vassar College
Department: Civil Engineering and Geosciences
Organisation: Newcastle University
Scheme: Standard Research
Starts: 01 October 2006 Ends: 30 September 2009 Value (£): 861,163
EPSRC Research Topic Classifications:
Information & Knowledge Mgmt Mobile Computing
Networks & Distributed Systems Transport Ops & Management
EPSRC Industrial Sector Classifications:
Information Technologies Transport Systems and Vehicles
Related Grants:
EP/E002013/1 EP/E001912/1 EP/E00198X/1 EP/E002102/1
Panel History:  
Summary on Grant Application Form
The impact of road traffic on local air quality is a major public policy concern and has stimulated a substantial body of researchaimed at improving underlying vehicle and traffic management technologies and informing public policy action. Recent work hassought to use a variety of vehicle-based, person-based and infrastructure-based sensor systems to collect data on key aspects ofdriver and traffic behaviour, emissions, pollutant concentrations and exposure. The variety and pervasiveness of the sensor inputsavailable will increase significantly in the future as a result both of the increasingly widespread penetration of existingtechnologies (e.g., GPS based vehicle tracking, CANbus interfaces to on-board engine management system data) within thevehicle parc and the introduction of new technologies (such as e.g., UV sensing and nanotechnology based micro sensors). Aparticularly exciting direction for future development will be in the use of vehicles as platforms for outward facing environmentalsensor systems, allowing vehicles to operate as mobile environmental probes, providing radically improved capability for thedetection and monitoring of environmental pollutants and hazardous materials.However, these developments present new and formidable research challenges arising from the need to transmit,integrate, model and interpret vast quantities of highly diverse (spatially and temporally varying) sensor data. Our approach in thisproject is to address these challenges by novel combination and extension of state-of-the-art eScience, sensor, positioning andmodelling (data fusion, traffic, transport, emissions, dispersion) technologies. By so doing, we aim to develop the capability tomeasure, model and predict a wide range of environmental pollutants and hazards (both transport related and otherwise) using agrid of pervasive roadside and vehicle-mounted sensors. This work will be at the leading edge of eScience, stretching thecapabilities of the grid in a number of aspects of the processing of massive volumes of sensor data.
Key Findings
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Potential use in non-academic contexts
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Date Materialised
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Organisation Website: http://www.ncl.ac.uk