Personalized location prediction for group travellers from spatial–temporal trajectories
- Submitting institution
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University of the West of Scotland
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 12461124
- Type
- D - Journal article
- DOI
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10.1016/j.future.2018.01.024
- Title of journal
- Future Generation Computer Systems
- Article number
- -
- First page
- 278
- Volume
- 83
- Issue
- -
- ISSN
- 0167-739X
- Open access status
- Compliant
- Month of publication
- January
- Year of publication
- 2018
- URL
-
-
- Supplementary information
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- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
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4
- Research group(s)
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-
- Citation count
- 10
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Resulted from project “Service-Oriented Cloud Information Centre for Airport Services”. Industrial-partner implemented in smart trolleys used by millions passengers daily at 11 Chinese airports. Followed by two-year-Newton-Fund project “Personalised Service Assistant for Journey Planner” with CIP Technology UK and Malaysian partner Tuxuri, for providing intelligent services for public transportations. This also supports development of CIP App City-Bat to provide location sharing and navigation service to group travellers. Two keynote speeches delivered using case studies from this research: “Sensing, Localisation and Contextual Data Analytics for Smart Services” CPGPS2018, Xi’an; “From IoT to Next Generation Networking: Challenges and Opportunities” ChinaCom2019, Shanghai.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -