Abstract
Smart cities attempt to use big data, machine learning, and other topical information and communication techniques (ICTs) to improve energy-consumption, mobility, waste management, and other crucial city functions. Many international research projects have been reported but, so far, few of them have addressed mobility in Norwegian cities specifically. This paper reports on a pre-study that focusses on mobility-related data sources in the Bergen region and discusses the needs and opportunities they present. We have identified central actors and the data they own, discussed opportunities and challenges with central stakeholders, developed a taxonomy of data types, and reviewed available ontologies for data integration. We are currently exploring a big-data architecture for harvesting, integrating, and making open mobility data more ready for use through a single-entry point. Paper presented at NOKOBIT 2018. Published by Bibsys Open Journal Systems.
Original document
The different versions of the original document can be found in:
- http://dx.doi.org/10.5281/zenodo.2678176 under the license https://creativecommons.org/licenses/by/4.0/legalcode
DOIS: 10.5281/zenodo.2678175 10.5281/zenodo.2678176
Document information
Published on 01/01/2018
Volume 2018, 2018
DOI: 10.5281/zenodo.2678175
Licence: Other
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