Congestions and big data: a review on the predictive solutions

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dc.contributor Aalto University en
dc.contributor Aalto-yliopisto fi
dc.contributor.advisor Wallenius, Jyrki
dc.contributor.author Ylimartimo, Juho
dc.date.accessioned 2017-07-04T08:44:58Z
dc.date.available 2017-07-04T08:44:58Z
dc.date.issued 2017
dc.identifier.uri https://aaltodoc.aalto.fi/handle/123456789/27248
dc.description.abstract Discusses how big data is applied in predicting traffic congestions, and preempting their costs. For first, recurring concepts are explained. Secondly, different traffic related data's sources are reviewed. Thirdly comes the present commercial applications. And for last, conclusions on the topic. en
dc.format.extent 24
dc.format.mimetype application/pdf en
dc.language.iso en en
dc.title Congestions and big data: a review on the predictive solutions en
dc.type G1 Kandidaatintyö fi
dc.contributor.school Kauppakorkeakoulu fi
dc.contributor.school School of Business en
dc.contributor.department Tieto- ja palvelutalouden laitos fi
dc.subject.keyword big data en
dc.subject.keyword transportation en
dc.subject.keyword traffic en
dc.subject.keyword congestions en
dc.identifier.urn URN:NBN:fi:aalto-201707046282
dc.type.ontasot Bachelor's thesis en
dc.type.ontasot Kandidaatintyö fi
dc.programme Business Technology en


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