Fast Parametric Estimation for Macroscopic Traffic Flow Model
نویسندگان
چکیده
منابع مشابه
Fast Parametric Estimation for Macroscopic Traffic Flow Model
The main traffic parameters such as the critical density and the free flow speed of a motorway segments are subject to changes over time due to traffic conditions (traffic composition, incidents, . . . ) and environmental factors (dense fog, strong wind, snow, . . . ). As such parameters have an impact on the performance of the traffic control strategies, they must be estimated on-line. Our app...
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The main differences between the deterministic macroscopic models stand in pressure expressions and representation of various phases observed experimentally. Starting from two assumptions, we build a multiphase model that represents macroscopic traffic flow on a single road. The conditions for transition between phases become clear. In addition, a simulation of some scenario are proposed to sup...
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The studies presented in this paper deal with traffic control in case of missing data and/or when the loop detectors are faulty. We show that the traffic state estimation plays an important role in traffic prediction and control. Two approaches are presented for the estimation of the main traffic variables (traffic density and mean speed). The state constructors obtained are then used for traff...
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ژورنال
عنوان ژورنال: IFAC Proceedings Volumes
سال: 2008
ISSN: 1474-6670
DOI: 10.3182/20080706-5-kr-1001.02205