Communication-Based Train Control (CBTC) Systems use bidirectional train-wayside wireless communications to ensure the safe operation of rail vehicles. Due to unreliable wireless networks, the uncertainties in train status information leads to imperfect traction/braking commands, which will affect CBTC performance. In this paper, we use recent advance in cognitive control to positively improve control performance as well as reduce information uncertainties. A cognitive control system composed of Networked Control System (NCS)-based state-space model and entropic-state model is presented. The performance optimization problem based on communication period decision and Medium Access Control (MAC)-layer parameters adaption is formulated as a stochastic control process. Minimizing the energy consumption and information uncertainties is the objective of our model. Simulation result shows that the proposed cognitive control scheme can improve CBTC performance.
Performance improvement in Communication-Based Train Control (CBTC) Systems using cognitive control
2014-10-01
226493 byte
Conference paper
Electronic Resource
English
CBTC (Communication Based Train Control): system and development
British Library Conference Proceedings | 2006
|TRAIN CONTROL SYSTEM AND CARBORNE CONTROLLER INCLUDING COMMUNICATION BASED TRAIN CONTROL (CBTC)
European Patent Office | 2023
|Interconnection CBTC (Communication Based Train Control) system tie line turnout control method
European Patent Office | 2022
|Communication method, device and system of CBTC (Communication Based Train Control) equipment
European Patent Office | 2024
|European Patent Office | 2015
|