An EV Charging Management System Concerning Drivers' Trip Duration and Mobility Uncertainty
- Submitting institution
-
University of Northumbria at Newcastle
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 22280777
- Type
- D - Journal article
- DOI
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10.1109/TSMC.2016.2613600
- Title of journal
- IEEE Transactions on Systems, Man, and Cybernetics: Systems
- Article number
- -
- First page
- 596
- Volume
- 48
- Issue
- 4
- ISSN
- 2168-2216
- Open access status
- Compliant
- Month of publication
- November
- Year of publication
- 2016
- 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
-
5
- Research group(s)
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F - Cyber Security and Network Systems (CyberNets)
- Citation count
- 43
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The multi-discipline work exploits the impact of road traffic uncertainty on transport planning, along with a reservation feature to coordinate E-mobility charging service. It has led to grant applications in Newton Travel Links with Thailand (PDG61W001), EU H2020 EPIC: Expert Visits (contact Pawel Miedzinski, miedzinski@eutema.com), and international exchanges with Waseda University (contact Dr Linyu Peng, aoni.waseda.jp), and collaboration in EU Interreg SEEV4-City (https://twitter.com/SEEV4City/status/1003532082121986048).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -