Personalized location prediction for group travellers from spatial–temporal trajectories
- Submitting institution
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The University of West London
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 11018
- 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
-
-
- 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
- This is the outcome from a collaborative project led by Wang with a company in China. The techniques developed were implemented in a world-first Internet of Things (IoT) product, smart trolley, for intelligent passenger services at airports, and used by thousands of passengers daily at 11 Chinese hub airports. It led to an international project to use location-based services to support the use of public transport in Kuala Lumpur (Newton Fund: UK-Malaysia urban innovation challenge 2017, 101348-579258, 2018 - 2020. £500,000). Wang delivered keynote speeches based on the paper at CollaborateCom2017 (Edinburgh, UK) and at CPGPS July 2018 (Xi’an, China).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -