Open AccessFCD data for on‐street parking search time estimation
Author(s) -
Mannini Livia,
Cipriani Ernesto,
Crisalli Umberto,
Gemma Andrea
Publication year - 2018
Publication title -
iet intelligent transport systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.579
H-Index - 45
eISSN - 1751-9578
pISSN - 1751-956X
DOI - 10.1049/iet-its.2017.0223
Subject(s) - computer science , transport engineering , real time data , parking guidance and information , calibration , path (computing) , estimation , line (geometry) , floating car data , real time computing , engineering , traffic congestion , computer network , mathematics , systems engineering , world wide web , statistics , geometry
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.