Parallel Control and Management for High-Speed Maglev Systems

Authored by Long Chen, Dewang Chen, Jiateng Yin, Hongze Xu

Date Published: 2017

DOI: 10.1109/tits.2016.2577037

Sponsors: No sponsors listed

Platforms: No platforms listed

Model Documentation: Other Narrative Flow charts

Model Code URLs: Model code not found

Abstract

This paper puts forward a systems approach for the parallel control and management of the high-speed maglev system ( HMS). An artificial HMS is first established by using a multiagent-based technique, and we demonstrate its consistence with the actual HMS. We then conduct some computational experiments and summarize some operational rules for the artificial HMS. Finally, the parallel control and management for the HMS are achieved by parallel execution of the artificial and actual HMSs with parallel interactions between them. We evaluate our approach overall by ensuring the safety and reliability of the HMS through parallel control and management. The solutions and recommendations for the safety control and effective management of the HMS can be provided by the proposed approach.

Tags

Agent-based modeling Design algorithms Optimization time Recovery Parallel control and management High-speed maglev system Artificial system Automatic train control Traffic management Scheduling model Railways Subway