Modeling and Optimization of Heavy Vehicle Cargo Transportation System Based on Feature Extraction Algorithm

From the point of view of system engineering, this paper comprehensively considers the planning characteristics of six problems, such as optimization object, transportation service mode, network capability, commodity flow integrity, optimization criteria and solution method. Starting with the basic transportation scenario modeling, this paper subdivides the problem of multimodal transport path planning according to the nature of goods, and further systematically studies the complex transportation scenario modeling and precise solution strategy design of multimodal transport path planning. Taking the dynamic response characteristics of heavy vehicle cargo transportation as the research object, the closed-loop “intelligent speed control-heavy vehicle-cargo packaging-road geometric alignment” system (ITGRS) was established by ADAMS/Truck and MATLAB/smulink as the test platform. From the perspective of multi-body system dynamics and vehicle-road interaction, the impact mechanism of vibration and impact response of packaging system and road geometric alignment design defects on driving safety was emphatically analyzed. The GRS platform proposed in this paper has important practical significance in standardizing and guiding the safe transportation of goods, road alignment design and traffic operation safety.