DocumentCode
154626
Title
A procedure for urban route travel time forecast based on advanced traffic data: Case study of Rome
Author
Cipriani, Elisa ; Gori, S. ; Mannini, L. ; Brinchi, S.
Author_Institution
Eng. Dept., Roma Tre Univ., Rome, Italy
fYear
2014
fDate
8-11 Oct. 2014
Firstpage
936
Lastpage
941
Abstract
In this paper, authors report a procedure to forecast the route travel time, based on different advanced traffic data, both historical and current.
Keywords
Kalman filters; automobiles; mean square error methods; nonlinear filters; road traffic; sensor fusion; statistical distributions; EKF correction; Lungotevere; RMSE; Rome; advanced traffic data; extended Kalman filter correction; historical floating car data; link speed forecasting; link travel time forecasting; loop detector data; loop sensors; measurement data fusion technique; route travel time apportioning; second-order traffic model; signalized route; urban freeway; urban route travel time forecasting; Data integration; Data models; Detectors; Mathematical model; Predictive models; Probability distribution; Time measurement;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Transportation Systems (ITSC), 2014 IEEE 17th International Conference on
Conference_Location
Qingdao
Type
conf
DOI
10.1109/ITSC.2014.6957809
Filename
6957809
Link To Document