SmartCity: Public Transportation Network Planning Based on Cloud Services, Crowd Sourcing and Spatial Decision Support Theory

Cities are growing and the number people using smartphone’s and tablets it also increasing. There are many applications that collects data from users and its context. Some of these applications are producing complete and useful databases that can be used to support some cites problems. In particular...

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Bibliographic Details
Published inUbiquitous Computing and Ambient Intelligence. Personalisation and User Adapted Services pp. 365 - 371
Main Authors Frez, Jonathan, Baloian, Nelson, Zurita, Gusravo
Format Book Chapter
LanguageEnglish
Published Cham Springer International Publishing 2014
SeriesLecture Notes in Computer Science
Subjects
cloudservices
crowdsourcing
Dempster-Shafer theory
mobile data
probabilistic scenarios
transportation network
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ISBN9783319131016
331913101X
ISSN0302-9743
1611-3349
DOI10.1007/978-3-319-13102-3_60

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Summary:Cities are growing and the number people using smartphone’s and tablets it also increasing. There are many applications that collects data from users and its context. Some of these applications are producing complete and useful databases that can be used to support some cites problems. In particular spatial planning problems like transportation network planning. In this work we presented a method to use existing crowdsourcing data and cloudservices to support a transportation network decision making process. The method is based the Dempster-Shafer Theory to combine the different sources information and to model transportation demand.
ISBN:9783319131016
331913101X
ISSN:0302-9743
1611-3349
DOI:10.1007/978-3-319-13102-3_60