Abstract This paper explores the traffic state estimation on freeways in urban areas combining point-based and route-based data in order to properly feed a second order traffic flow model, recursively corrected by an Extended Kalman Filter. In order to overcome the possible lack of real-time information, authors propose to use simulation-based data in order to improve the accuracy of the traffic state estimation. This model was tested on a urban freeway stretch in Rome, for which a set of real-time data during the morning of a typical
Livia Mannini, Carrese, S., & Cipriani, E. (2015). On the Short-term Prediction of Traffic State: An Application on Urban Freeways in ROME. TRANSPORTATION RESEARCH PROCEDIA, 176-185 [10.1016/j.trpro.2015.09.067].
Titolo: | On the Short-term Prediction of Traffic State: An Application on Urban Freeways in ROME | |
Autori: | ||
Data di pubblicazione: | 2015 | |
Rivista: | ||
Citazione: | Livia Mannini, Carrese, S., & Cipriani, E. (2015). On the Short-term Prediction of Traffic State: An Application on Urban Freeways in ROME. TRANSPORTATION RESEARCH PROCEDIA, 176-185 [10.1016/j.trpro.2015.09.067]. | |
Handle: | http://hdl.handle.net/11590/300600 | |
Appare nelle tipologie: | 1.1 Articolo in rivista |