Macroscopic Traffic Flow Control Via State Estimation
نویسندگان
چکیده
منابع مشابه
Macroscopic Traffic Flow Control via State Estimation
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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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 work discussed in this paper consists of a statistical assessment of various finite difference schemes for approximating macroscopic models of traffic flow. Using VISSIM we simulated traffic flow on a section of a freeway with arbitrary characteristics. VISSIM is a traffic flow simulator that uses a microscopic model for traffic. By using data from a microscopic simulation, we are able dete...
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ژورنال
عنوان ژورنال: Cybernetics and Information Technologies
سال: 2015
ISSN: 1314-4081
DOI: 10.1515/cait-2015-0013