System model building and dynamic online control of traffic flow. Issue 6 (1st November 2020)

• Record Type: Journal Article
• Authors: Huang, Xiao-Qiong; Han, Yun-Xiang
• Is Part Of: Mathematical and computer modelling of dynamical systems. Volume 26:Issue 6(2020)
• Page Start: 521
• Page End: 533
• Publication Date: 2020-11-01
• Subjects: Urban rail transportation -- metro -- model predictive control (MPC) -- system dynamics; Engineering -- Mathematical models -- Periodicals; Computer simulation -- Periodicals; 515.39
• DOI: 10.1080/13873954.2020.1810076
• Languages: English
• ISSNs: 1387-3954

Abstract

ABSTRACT: The Underground transportation system plays a vital role in public transportation and exhibits complicated dynamics. The model predictive control approach for underground train dispatching is proposed in this paper. The system modelling technique spatially aggregates trains to generate the traffic flow model in a network of interconnected control units. The state-space model for the underground train traffic of a metro line is investigated. Simulation results are reported to demonstrate the effectiveness of the optimization control model.