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.
FCD data for on-street parking search time estimation
IET Intelligent Transport Systems ; 12 , 7 ; 664-672
2018-03-14
9 pages
Article (Journal)
Electronic Resource
English
Metadata by IET is licensed under CC BY 3.0
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