Vehicle Operating Safe State Monitoring System Modeling Method Based on Automata

This paper aims to clarify the information flow for the vehicles operating safety states monitoring (VOSM) system and optimize VOSM system performance. Based on analyzing VOSM system structure and information sequence, the information model for VOSM system is built by automata theory. The relationship among three key parameters including vehicle’s motion attitude parameter (MAP), dynamic load parameter (DLP) and braking performance parameter (BPP) is analyzed and described in this paper. The results indicate that VOSM system model based on automata can effectively describe VOSM system information sequence, and reflects the process of the system state change. Through the model, it will be able to achieve intelligent scheduling in VOSM system, and provide theory basis and reference model for future development and optimization work.