Congestions and big data: a review on the predictive solutions

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School of Business | Bachelor's thesis
Date
2017
Major/Subject
Mcode
Degree programme
Business Technology
Language
en
Pages
24
Series
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.
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Thesis advisor
Wallenius, Jyrki
Keywords
big data, transportation, traffic, congestions
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