Data Fusion for MaaS: Opportunities and Challenges
Paper
Paper/Presentation Title | Data Fusion for MaaS: Opportunities and Challenges |
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Presentation Type | Paper |
Authors | Wu, Jianqing (Author), Zhou, Luping (Author), Cai, Chen (Author), Shen, Jun (Author), Lau, Sim Kim (Author) and Yong, Jianming (Author) |
Journal or Proceedings Title | Proceedings of the 2018 IEEE 22nd International Conference on Computer Supported Cooperative Work in Design |
ERA Conference ID | 43280 |
Number of Pages | 6 |
Year | 2018 |
Place of Publication | United States |
ISBN | 9781538614822 |
Digital Object Identifier (DOI) | https://doi.org/10.1109/CSCWD.2018.8465224 |
Web Address (URL) of Paper | https://ieeexplore.ieee.org/document/8465224 |
Conference/Event | 2018 IEEE 22nd International Conference on Computer Supported Cooperative Work in Design |
International Conference on Computer Supported Cooperative Work in Design | |
Event Details | International Conference on Computer Supported Cooperative Work in Design CSCWD Rank B B B B B B B B B B |
Event Details | 2018 IEEE 22nd International Conference on Computer Supported Cooperative Work in Design Event Date 09 to end of 11 May 2018 Event Location Nanjing, China |
Abstract | Computer Supported Cooperative Work (CSCW) in design is an essential facilitator for the development and implementation of smart cities, where modern cooperative transportation and integrated mobility are highly demanded. Owing to greater availability of different data sources, data fusion problem in intelligent transportation systems (ITS) has been very challenging, where machine learning modelling and approaches are promising to offer an important yet comprehensive solution. In this paper, we provide an overview of the recent advances in data fusion for Mobility as a Service (MaaS), including the basics of data fusion theory and the related machine learning methods. We also highlight the opportunities and challenges on MaaS, and discuss potential future directions of research on the integrated mobility modelling. |
Keywords | data fusion, machine learning, mobility as a service |
ANZSRC Field of Research 2020 | 460999. Information systems not elsewhere classified |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Byline Affiliations | University of Wollongong |
University of Sydney | |
Commonwealth Scientific and Industrial Research Organisation (CSIRO), Australia | |
School of Management and Enterprise | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q50w2/data-fusion-for-maas-opportunities-and-challenges
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