Enabling the use of a planning agent for urban traffic management via enriched and integrated urban data
- Submitting institution
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The University of Huddersfield
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 28
- Type
- D - Journal article
- DOI
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10.1016/j.trc.2018.12.005
- Title of journal
- Transportation Research Part C: Emerging Technologies
- Article number
- -
- First page
- 284
- Volume
- 98
- Issue
- -
- ISSN
- 0968-090X
- Open access status
- Compliant
- Month of publication
- December
- 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
- Yes
- Number of additional authors
-
7
- Research group(s)
-
-
- Citation count
- 0
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This article in a ERA2010-A rated journal is the result of collaborative research between Huddersfield, British Telecom, Transport for Greater Manchester, and 2 SMEs, funded at Huddersfield by NERC (https://gtr.ukri.org/projects?ref=NE%2FN007239%2F1), for which McCluskey was PI. The Semantic Web research led to additions in BT's Data Exchange (email: john.davis@bt.com) and the Planning software is being used to solve traffic congestion in our work with Transport for Greater Manchester and Kirklees Transport Authority (cf McCluskey et al's Impact Case Study).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -