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

Mannini, L., 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].

On the Short-term Prediction of Traffic State: An Application on Urban Freeways in ROME

MANNINI, LIVIA;CARRESE, Stefano;CIPRIANI, ERNESTO
2015-01-01

Abstract

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
Mannini, L., 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].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11590/300600
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