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Creating an evaluation platform to deliver sustainable urban networks using Bluetooth technology
Lookup NU author(s)
Professor Margaret Carol Bell CBE
Dr Fabio Galatioto
Bell MC, Ayodele E, Galatioto F
Conference Proceedings (inc. Abstract)
19TH ITS World Congress
Year of Conference
22-26 October 2012
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Current research (Cairns, 2012) demonstrates that vehicle emissions reduction technologiesalone will neither deliver carbon emissions targets (CCA, 2008) nor EU air quality objectives.Therefore, modal shift, demand management and behavioural changes need to be at the heart offuture policies with emphasis on efficient and effective movement of people rather than singleoccupancy vehicles. By reporting network problems, by way of APPs, to mobiles and iPhonesdrivers are informed of less congested routes, and are given directions to car parks, whilepassengers receive information on availability of bus services in real-time, thereby reducingvehicle-miles, emissions, speeding up journeys and unnecessary delay at bus stop, potentiallythis can be delivered by Bluetooth technology operating in an Intelligent Transport Systems(ITS) environment. This paper focusses on demonstrating the usefulness of Bluetooth sensors indelivering sustainability. It is aimed at enhancing network efficiency by developing an insightinto monitored Bluetooth signals from a network of sensors distributed over part of an urbanarea of Birtley, UK, employing a post-processing data analysis technique. From the analysis, thestudy of spatial and temporal status monitoring of the network helped to assess journey timesand gain knowledge of routes irrespective of the mode. The preliminary results and analysisindicate that Bluetooth can establish the distribution of journey times to a level of accuracycapable of differentiating the proportion of vehicles in different traffic conditions. This enablesmore realistic estimates of pollutant emissions to be made link by link. The ability to identifyroutes through the network (origins and destinations) offers the potential to considerablyenhance decision making with regard to managing traffic demand and providing information tousers of the network across modes. Future work includes system calibration, validation andreal time deployment to enable traffic optimisation and emissions reduction to be achieved.
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