FCD data for on-street parking search time estimation
- Author(s): Livia Mannini 1 ; Ernesto Cipriani 1 ; Umberto Crisalli 2 ; Andrea Gemma 1
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View affiliations
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Affiliations:
1:
Department of Engineering, Roma Tre University , Via Vito Volterra 62, 00146 Rome , Italy ;
2: Department of Enterprise Engineering, Tor Vergata University of Rome , 00133 Rome , Italy
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Affiliations:
1:
Department of Engineering, Roma Tre University , Via Vito Volterra 62, 00146 Rome , Italy ;
- Source:
Volume 12, Issue 7,
September
2018,
p.
664 – 672
DOI: 10.1049/iet-its.2017.0223 , Print ISSN 1751-956X, Online ISSN 1751-9578
© The Institution of Engineering and Technology
Received
18/07/2017,
Accepted
15/02/2018,
Revised
24/01/2018,
Published
20/02/2018
This study investigates the problem of estimating on-street parking search time employing floating car data (FCD). The parking search path is modelled as a spiral around the destination. Model calibration is based only on data detected by tracked vehicles. The proposed methodology can be used both in real time to support user information and off-line to assess transport plans. In order to demonstrate its effectiveness for advanced transport modelling in urban areas, the results of a real-size application to the city of Rome are presented.
Inspec keywords: traffic control
Other keywords: floating car data; FCD data; on-street parking search time estimation; advanced transport modelling
Subjects: Traffic engineering computing
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