Applying Service Oriented Architecture and Cloud Computing for a Greener Traffic Management

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dc.contributor.author Bhalla, Ishan en_US
dc.contributor.author Chaudhary, Kamlesh en_US
dc.contributor.editor B. Unhelkar en_US
dc.date.accessioned 2012-10-12T03:31:30Z
dc.date.available 2012-10-12T03:31:30Z
dc.date.issued 2011 en_US
dc.identifier 2011004442 en_US
dc.identifier.citation Bhalla Ishan and Chaudhary Kamlesh 2011, 'Applying Service Oriented Architecture and Cloud Computing for a Greener Traffic Management', in http://dx.doi.org/10.4018/978-1-61692-834-6.ch023 (ed.), IGI, USA, pp. 332-347. en_US
dc.identifier.issn 9781616928346 en_US
dc.identifier.other B1 en_US
dc.identifier.uri http://hdl.handle.net/10453/17739
dc.description.abstract Traffic Management System (TMS) is a possible implementation of a Green IT application. It can have direct impact on reducing the greenhouse gases. The focus of this report is to illustrate how event driven SOA design principles can be applied in designing traffic management system. It also discusses how cloud computing concept can be used for TMS application. Traffic during peak hours is a problem in any major city where population growth far exceeds the infrastructure. Frequent stop and start of the cars on the heavy traffic roads and slow moving traffic causes greater fuel consumption, which results in greater emission of carbon gases. If efficient traffic management system can speed up the traffic average speed it will help reduce the carbon emission. As the WiMAX technology reaches maturity and achieves greater reliability and speed for wireless data transmissions new mobile applications are possible. Traffic Management System is one such example. WiMAX can facilitate communication to and from fast moving cars. WiMAX combined with GPS (Global Positioning System) technology can facilitate building an efficient traffic management system. The authors have also discussed various scenarios where Cloud computing technology can be utilised resulting in further optimisation of the computing resources and therefore reducing the carbon emission. en_US
dc.language en_US
dc.publisher IGI en_US
dc.relation.isbasedon http://dx.doi.org/10.4018/978-1-61692-834-6.ch023 en_US
dc.title Applying Service Oriented Architecture and Cloud Computing for a Greener Traffic Management en_US
dc.parent Handbook of Research on Green ICT: Technology, Business and Social Perspectives en_US
dc.journal.volume en_US
dc.journal.number en_US
dc.publocation USA en_US
dc.identifier.startpage 332 en_US
dc.identifier.endpage 347 en_US
dc.cauo.name FEIT.Faculty of Engineering & Information Technology en_US
dc.conference Verified OK en_US
dc.for 080100 en_US
dc.personcode 0000077283 en_US
dc.personcode 0000077284 en_US
dc.percentage 100 en_US
dc.classification.name Artificial Intelligence and Image Processing en_US
dc.classification.type FOR-08 en_US
dc.edition 1 en_US
dc.custom en_US
dc.date.activity en_US
dc.location.activity en_US
dc.description.keywords green technology, ICT, information communication technology, cloud community, service architecture, traffic management systems, TMC en_US
dc.staffid en_US


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