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

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
Pubblicato
Rilevanza internazionale
Articolo
Esperti anonimi
Settore ICAR/05 - Trasporti
English
Con Impact Factor ISI
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].
Mannini, L; Cipriani, E; Crisalli, U; Gemma, A
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/2108/194605
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