Single-Region Robust Perimeter Traffic Flow Control
Paper i proceeding, 2015

In this paper, we propose a two-stage robust perimeter flow control policy to prevent congestion in single- region transport networks. We describe the single-region traffic dynamics by utilising the so-called Macroscopic or Network Fundamental Diagram (MFD or NFD), a nonlinear relation be- tween network-wide mean flow and accumulation of vehicles. By using MFD relaxation conditions and structuring uncertainties, we reformulate the nonlinear flow dynamics to set of uncertain Linear Parametrically Varying (LPV) ones. In controller design stage one, we apply the concept of a two degree of freedom, induced L2 norm minimising LPV controller. Within the generalised performance output, we include tracking performance to follow a pre-defined critical accumulation in uncertain model environment. Output feedback LPV controller ensures generalised disturbance attenuation conditions with appropriate gated input flow at the perimeter. Second, an optimal quadratic control allocation algorithm is employed to distribute the ordered flow to entrance link green stages (flow equivalent green time) in a number of candidate junctions at the perimeter of the network. The constrained allocation techniques complement the robust controller enabling real-time applicability of the proposed methodology. Finally, the suggested robust control scheme is tested in macroscopic simulation environment. Results shows the via- bility of the method in rapid and accurate tracking behaviour under highly uncertain parameters of the MFD.

Författare

Balázs Adam Kulcsár

Chalmers, Signaler och system, System- och reglerteknik, Reglerteknik

Konstantinos Ampountolas

University of Glasgow

Azita Dabiri

Chalmers, Signaler och system, System- och reglerteknik, Reglerteknik

European Control Conference, ECC 2015; Linz; Austria; 15 July 2015 through 17 July 2015

2628-2633

Styrkeområden

Transport

Ämneskategorier

Transportteknik och logistik

Reglerteknik

DOI

10.1109/ECC.2015.7330934

ISBN

978-395242693-7