A Congestion Detection Based Traffic Control for Signalized Intersection

  • István Varga Budapest University of Technology and Economics, Budapest

Abstract

The paper investigates a traffic-responsive control method applicable at isolated signalized intersections. The proposed strategy involves three basic parts: a traffic model, a reconfigurable regulator, and a congestion detection filter. Road traffic dynamics is modeled by the well-known store-and-forward approach. The controller is based on the efficient Linear Quadratic Regulator algorithm. The filter is designed by using the modified version (for discrete time case) of the Fundamental Problem of Residual Generation. The main achievement of the system is the ability to deal with a time-varying model parameter, namely the saturation flow rate of the road links. To this end, an error term is estimated continuously by appropriate fault detection algorithm. The predicted error term is further used by the reconfigurable controller which finally aims to mitigate the number of vehicles waiting at the stop line, i.e. the delay caused by the intersection. A simulation study is also carried out to demonstrate the effectiveness of the controller extended by congestion detection filter.

Keywords: road traffic control, congestion detection
Published online
2017-12-12
How to Cite
Varga, I. (2018). A Congestion Detection Based Traffic Control for Signalized Intersection. Periodica Polytechnica Civil Engineering, 62(2), 398-403. https://doi.org/10.3311/PPci.10917
Section
Research Article