<abstract xmlns="http://www.w3.org/1999/xhtml"><p>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 traffic flow control. Several numerical simulations show very promising results for both traffic state estimation and control.</p></abstract>

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 traffic flow control. Several numerical simulations show very promising results for both traffic state estimation and control.

Macroscopic Traffic Flow Control Via State Estimation

Université Lille Nord France, F-59000 Lille, France. U-Artois, LGI2A, (EA. 3926) Technoparc Futura, F-62400 Béthune, France

University of Sulaimani, Faculty of Engineering Sciences, Department of Civil Engineering, Sulaimani, Iraq

Cybernetics and Information Technologies

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

{"article-title":"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...

Macroscopic Traffic Flow Control Via State Estimation

Publié en ligne: 30 avr. 2015

Pages: 5 - 16

DOI: https://doi.org/10.1515/cait-2015-0013

© by H. Abouaïssa

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.