EPSRC logo

Details of Grant 

EPSRC Reference: EP/E001912/1
Title: Pervasive Mobile Environmental Sensor Grids
Principal Investigator: Landshoff, Professor P
Other Investigators:
Bacon, Professor JM Jones, Professor R
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: Pure Maths and Mathematical Statistics
Organisation: University of Cambridge
Scheme: Standard Research
Starts: 01 October 2006 Ends: 31 March 2010 Value (£): 409,416
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/E00198X/1 EP/E002129/1 EP/E002102/1
Panel History:  
Summary on Grant Application Form
We will mount sensors on pedestrians and cyclists to monitor their exposure to pollution from transport. This will be an addition to the TIME-EACM project, which is about to use Cambridge City as a test bed for a variety of ways to gather data about traffic flow, and is writing middleware to analyse the data in real time.The initial part of the study will be to confront the technical challenges associated with sensors that need to be highly portable. Sensor technologies are now advancing to the point where parts per billion sensitivities are becoming achievable in small low power devices for species relevant to local air quality including ozone, nitrogen dioxide and a range of hydrocarbons. The challenge will be to link such sensors to effective mobile systems to broadcast data back to central points for analysis and presentation, and to locate their wearers sufficiently accurately. The TIME-EACM project will log and store data and integrate databases with information flow from its sensors, and the data stream from the pervasive environmental sensors will be added to this. The TIME-EACM middleware will be compatible with data on pollution from pervasive environmental sensors. All data will be time-stamped and location-stamped and correlated with TIME-EACM data on traffic flow.
Key Findings
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
Potential use in non-academic contexts
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
Impacts
Description This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
Summary
Date Materialised
Sectors submitted by the Researcher
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
Project URL:  
Further Information:  
Organisation Website: http://www.cam.ac.uk