This paper 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
Mannini, L., Cipriani, E., Crisalli, U., Gemma, A. (2018). FCD data for on-street parking search time estimation. IET INTELLIGENT TRANSPORT SYSTEMS [10.1049/iet-its.2017.0223].
FCD data for on-street parking search time estimation
crisalli, Umberto;
2018-01-01
Abstract
This paper 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| File | Dimensione | Formato | |
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129_07_2. FCD data for on-street parking search time estimation_2018 IET-ITS.pdf
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