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Big Data-driven Multimodal Traffic Management: Trends and Challenges

Authors:
Ivana Semanjski
Sidharta Gautama

Keywords: big data; traffic management; platform architecture, autonomous vehicles; digital twin

Abstract:
Availability of big data on moving objects is strongly affecting the way we view and manage mobility. Mobility in urban areas is becoming more and more complex, posing the challenge of efficient multimodal traffic management. So far, existing solutions were mainly car oriented failing to capture the full complexity of the mobility within the city. In this paper, we present the potential of big-data driven solution for multimodal mobility management that capitalizes on the existing data availability and is realized through the “guarded” data architecture.

Pages: 149 to 154

Copyright: Copyright (c) IARIA, 2018

Publication date: November 18, 2018

Published in: conference

ISSN: 2308-4464

ISBN: 978-1-61208-681-1

Location: Athens, Greece

Dates: from November 18, 2018 to November 22, 2018