Detecting On-Street Parking Spaces in Smart Cities: Performance Evaluation of Fixed and Mobile Sensing Systems
- Submitting institution
-
Oxford Brookes University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 185740963
- Type
- D - Journal article
- DOI
-
10.1109/TITS.2018.2804169
- Title of journal
- IEEE Transactions on Intelligent Transportation Systems
- Article number
- -
- First page
- 2234
- Volume
- 19
- Issue
- 7
- ISSN
- 1524-9050
- Open access status
- Compliant
- Month of publication
- April
- 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
-
4
- Research group(s)
-
-
- Citation count
- 16
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This work demonstrates that a mobile sensing system can provide a cost effective solution for providing road users with information about available parking spaces and reduce unnecessary driving and energy waste in search of an unoccupied bay. The work was carried out in collaboration with GeoMii Technologies and an open data set of the measurements has been made available for other researchers. The PhD student working on this project is now a Post Doctoral Research Associate at the Oxford Centre of Biomedical Engineering doing further work on wireless sensor systems.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
