000001010 001__ 1010
000001010 005__ 20181220113722.0
000001010 022__ $$a978-1-4799-2652-7
000001010 0247_ $$2DOI$$a10.1109/WAINA.2014.165
000001010 037__ $$aCONFERENCE
000001010 041__ $$aeng
000001010 245__ $$aBig data in smart cities :$$bfrom poisson to human dynamics
000001010 260__ $$aGwangju, South Korea$$b13-16 May 2015$$c2014
000001010 269__ $$a2015-05
000001010 300__ $$a6 p.
000001010 506__ $$avisible
000001010 520__ $$9eng$$aBig Data is conceived as the powerful tool to exploit all the potential of the Internet of Things and the Smart Cities. Historically several of the human-related behaviours have been modelled with Poisson distribution, but a new dimension of understanding about the human behaviours is reached through all the gathered data in the emerging smart environment. This work analyses the data from the European Project SmartSantander. This work has correlated the traffic behaviour with respect to the temperature in the Santander City. This has been presented as the evolution of both flows present a similar behaviour. The traffic distribution, aggregated by temperature bins, follows up a Poisson distribution model. Thereby, allowing interpolate and predict complex behaviours based on simple measures such as the temperature. At the same time, this data presents a burst behaviour (human dynamics), when the data is analysed in sequence, instead of aggregated by temperature bins. Therefore, this work concludes that human-related behaviours can be described with both, Poisson and Human Dynamics distribution, depending on how the data is represented and aggregated.
000001010 592__ $$aHEG-VS
000001010 592__ $$bInstitut Informatique de gestion
000001010 592__ $$cEconomie et Services
000001010 65017 $$aInformatique
000001010 6531_ $$9eng$$abig data
000001010 6531_ $$9eng$$acities and towns
000001010 655_7 $$afull paper
000001010 6531_ $$9eng$$adata models
000001010 6531_ $$9eng$$anoise
000001010 6531_ $$9eng$$atemperature distribution
000001010 6531_ $$9eng$$aTemperature measurement
000001010 6531_ $$9eng$$aTemperature sensors
000001010 700__ $$aJara, Antonio$$uUniversity of Applied Sciences and Arts Western Switzerland (HES-SO Valais-Wallis)
000001010 700__ $$aGenoud, Dominique$$uUniversity of Applied Sciences and Arts Western Switzerland (HES-SO Valais-Wallis)
000001010 700__ $$aBocchi, Yann$$uUniversity of Applied Sciences and Arts Western Switzerland (HES-SO Valais-Wallis)
000001010 711__ $$a28th International Conference on Advanced Information Networking and Applications Workshops (WAINA)$$cGwangju, South Korea$$d13/05/2014 / 16/05/2015
000001010 773__ $$tProceedings of the 28th International Conference on Advanced Information Networking and Applications Workshops 2014
000001010 8564_ $$uhttp://hesso.tind.io/record/1010/files/Jara_BigDataInSmartCities_2015.pdf
000001010 85642 $$uhttp://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6844735$$zPDF-éditeur
000001010 909CO $$ooai:hesso.tind.io:1010$$pGLOBAL_SET
000001010 906__ $$aNONE
000001010 950__ $$aI1
000001010 980__ $$aconference