Modeling And Evaluation Of Vehicle Driving Training Simulator Training Scene

As the main teaching equipment for driver training,the vehicle driving training simulator is widely used in driving and training institutions.In order to effectively improve the quality of driver training,the driving training institution has continuously improved the requirements of the training simulator scene.Based on the training content of the training scene,the display fidelity and the human-machine environment,the paper establishes a comprehensive evaluation index system for the driving training training scene.And relying on the Creator modeling environment,the highway driving training scene was built,and the subjective evaluation of the advantages and disadvantages of the whole training scene was carried out through the experiment of the experimenter.By analyzing the characteristics of highway driving,mountain road driving,and severe weather conditions driving,the realistic degree and ergonomic factors of the training simulator are fully considered.From the perspective of the training scene content "all incomplete",the model "like the image" and "the truth is not true",five first-level indicators and 16 representative subjective evaluation secondary indicators were selected,and the motor vehicle was established.A syllabus-based training scene evaluation system.Based on the existing scene library,the main process of scene modeling is analyzed.The Creator modeling software is used to build traffic models including mountains,rivers,trees,roads,buildings and transportation facilities.Through structural optimization and model optimization.All models were integrated and rendered in real time,eventually creating part of the driving scene.According to the established training scene evaluation index,the driving training training scene is evaluated by the group decision hierarchy analysis method(GAHP).Among them,the index scale method is selected,and the weighted geometric mean method and the weighted arithmetic mean method are used to assemble the individual judgment matrix to assemble the expert preference,and the indicators determined by the results of the two assembly methods are verified to be consistent.The level indicator is relative to the target layer weight.Finally,10 participants were selected to test the training scene.After the experiment,the scores were scored according to the index score table,and the total score of the experience was calculated by the weight determined by the weighted geometric mean individual ordering(AIJ).According to the classification of the pros and cons of the scene,more than 80% of the 10 experiencers think that the training scenario is good.