Dataset

Validation of On Street Parking

Abstract

In 2016, tests were carried out in Guildford to identify car parking spaces using a mobile sonar sensor mounted on the nearside of a test vehicle which collects data as it moves around the location. The data collected is sent over a cellular link to a web based database which includes maps with known parking areas. The spaces are identified and can be made available to road users via an App. The vehicle location was determined from a GPS receiver combined with map matching. To determine the accuracy, ground truth is provided by a camera mounted on the test vehicle.

Subjects

Intelligent Transport Systems, On-street parking, Parking sensors, Sonar/ultrasonic sensors, Supervised learning, Map matching,

DOI (Digital Object Identifier)

Permanent link to this resource: https://doi.org/10.24384/dkha-9n48

Attachments

Authors

Roman, Cristian (Oxford Brookes University)
Liao, Ruizhi (The Chinese University of Hong Kong)
Ball, Peter (Oxford Brookes University)
Ou, Shumao (Oxford Brookes University)
de Heaver, Martin (GEOmii Technologies Ltd.)

Oxford Brookes departments

School of Engineering, Computing and Mathematics
Faculty of Technology, Design and Environment

Dates

Year: 2018

Funding

Ethos Valuable Outcomes Ltd. : Validation of On Street Parking (A-15717)

GeoLocations

Guildford, United Kingdom

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© Oxford Brookes University; GEOmii
Published by Oxford Brookes University

This work is licensed under a Creative Commons Attribution 4.0 International License

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Related resources

This RADAR resource is the Source of Detecting On-Street Parking Spaces in Smart Cities: Performance Evaluation of Fixed and Mobile Sensing Systems