FCD data for on‐street parking search time estimation. Issue 7 (14th March 2018)

• Record Type: Journal Article
• Authors: Mannini, Livia; Cipriani, Ernesto; Crisalli, Umberto; Gemma, Andrea
• Is Part Of: IET intelligent transport systems. Volume 12:Issue 7(2018)
• Page Start: 664
• Page End: 672
• Publication Date: 2018-03-14
• Subjects: traffic control; FCD data -- on‐street parking search time estimation -- floating car data -- advanced transport modelling; Intelligent transportation systems -- Periodicals; Electronics in transportation -- Periodicals; 388.31205
• DOI: 10.1049/iet-its.2017.0223
• Languages: English
• ISSNs: 1751-956X

Abstract

Abstract : 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.