Road Recognition Based on Vehicle Vibration Signal and Comfortable Speed Strategy Formulation Using ISA Algorithm

Area of Science:

• Automotive Engineering
• Vibration Analysis
• Road Surface Characterization

Background:

• Vehicle vibration, induced by road roughness, significantly impacts passenger comfort and health.
• International standard ISO 2631-1 provides a framework for assessing vibration effects on humans.
• Optimizing vehicle speed based on road conditions is crucial for ride comfort.

Purpose of the Study:

• To develop a comfortable speed strategy formulation method for vehicles.
• To establish a technical application route for the proposed strategy.
• To analyze the relationship between acceleration and comfortable vehicle speed.

Main Methods:

• A simulation platform was developed using Matlab/Simulink to model road roughness and vehicle vibration.
• Seven statistical time-domain features were extracted from vibration signals.
• Machine learning models including Random Forest (RF), Extreme Learning Machine (ELM), and Radial Basis Function Neural Network (RBF-NN) were used for road identification.
• Two comfortable speed strategies were formulated using an improved simulated annealing (ISA) algorithm.

Main Results:

• Simulated road roughness signals accurately represented different road grades.
• Vehicle vibration acceleration signals effectively enabled road recognition.
• ELM demonstrated high accuracy and speed in road identification.
• The ISA-II algorithm achieved low error and computation time for comfortable speed calculation.
• Significant differences in comfortable speeds were observed across various road grades.

Conclusions:

• The developed methods accurately simulate road conditions and identify road types using vibration data.
• Machine learning, particularly ELM, is effective for real-time road recognition.
• The ISA-II algorithm provides an efficient and accurate approach to formulating comfortable speed strategies.
• Implementing comfortable speed strategies can significantly enhance vehicle ride comfort and passenger well-being.