FCD data for on-street parking search time estimation

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 i...

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Bibliographic Details
Published in:IET intelligent transport systems 2018-09, Vol.12 (7), p.664-672
Main Authors: Mannini, Livia, Cipriani, Ernesto, Crisalli, Umberto, Gemma, Andrea
Format: Article
Language:English
Subjects:
advanced transport modelling
FCD data
floating car data
on‐street parking search time estimation
Research Article
traffic control
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Summary: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.
ISSN:1751-956X
1751-9578
1751-9578
DOI:10.1049/iet-its.2017.0223