A model predictive control strategy for the auxiliary road adjacent to the freeway off-ramp

Author

Jinchao Rao ; Hui Wang

Author_Institution

State Key Lab. of Ind. Control, Zhejiang Univ., Hangzhou, China

fYear

2013

fDate

12-14 June 2013

Firstpage

152

Lastpage

157

Abstract

The congestion of the freeway off-ramp area has been a problem in China. This article proposes a model predictive control (MPC) approach for the auxiliary road near the off-ramp to solve the problem. The cell transmission model (CTM) is adopted to model the traffic network and the particle swarm optimization (PSO) is used as the optimization algorithm for MPC strategy. The control objective used in this paper is the total delay of all vehicles in the network. The performance of this method is compared with the existing control methods including no control, fixed-time control, and ALINEA strategy. The results illustrate that the method developed in this essay ensures a better performance than others and has potential benefits.

Keywords

particle swarm optimisation; predictive control; road traffic; ALINEA strategy; CTM; MPC; PSO; auxiliary road adjacent; cell transmission model; fixed-time control; freeway off-ramp area; model predictive control strategy; optimization algorithm; particle swarm optimization; traffic network model; Delays; Mathematical model; Optimization; Predictive models; Roads; Traffic control; Vehicles;

fLanguage

English

Publisher

ieee

Conference_Titel

Control and Automation (ICCA), 2013 10th IEEE International Conference on

Conference_Location

Hangzhou

ISSN

1948-3449

Print_ISBN

978-1-4673-4707-5

Type

conf

DOI

10.1109/ICCA.2013.6564994

Filename

6564994