Multi-parameter fusion method for hazardous state identification during the braking process of trucks

Failures associated with braking systems and insufficient following distances are primary causes of rear-end collisions and rollovers involving trucks. Through a comprehensive analysis of hazardous states during braking and their contributory factors, a vehicle en-route status detection device has been developed. This device can acquire real-time data on load, vehicle speed, and the state of the braking system. Hazard identification based on single parameters such as brake shoe wear, abnormal brake shoe temperatures, and brake light failures has been conducted using sensor data. By performing a dynamic analysis of vehicles during braking, a braking distance calculation model was established. This model was calibrated through vehicle coasting tests. The reliability of the braking distance model was validated through both Automatic Dynamic Analysis of Mechanical Systems (ADAMS) simulation and practical vehicle tests. Considering the relationships among the following distances, brake line pressures, and braking distances, a novel multi-parameter identification method for hazardous states during the braking process is proposed.