Research On Intelligentity And Acceptance Evaluation Of Autonomous Vehicles Based On Closed Field Experiment

At present,the self-driving car evaluation is an important problem to be solved before the commercialization of automatic driving,mainly reflected in two aspects.The first is how to ensure the scientific and operability of the intelligent test and evaluation of the autonomous vehicle,and the second is how to solve the problem of the acceptance of the automatic driving technology for the market and users.In view of the above problems,this paper conducts an in-depth study on the intelligence and acceptance of autonomous vehicles based on the autopilot closed field experiment.In the aspect of intelligent driving evaluation of autonomous vehicles,based on the key data indicators of autonomous driving,combined with fuzzy comprehensive evaluation method,this paper proposes an intelligent driving evaluation method based on key data indicators and fuzzy comprehensive evaluation.In the aspect of intelligence evaluation,this paper constructs an intelligent driving evaluation model for autonomous vehicles,establishes an intelligent evaluation index system,and determines four key data indicators: speed variance,acceleration variance,yaw angle change rate variance,and steering wheel angle change rate variance.An intelligent evaluation method for autonomous vehicles based on key data indicators and fuzzy synthesis is proposed.In terms of intelligence testing,this paper invites six drivers to perform six manual driving on the basis of nine typical scenarios of Changan University's self-driving car test site,and uses the “Xinda” auto-driving car to perform three automatic driving.Get nine sets of test data.During the test,the evaluation data of the quality of the nine driving conditions by five experts was obtained,and the evaluation method proposed in this paper was verified by the data.The analysis results show that the evaluation results of the improved method are more consistent with the driver's driving level.The method proposed in this paper is more scientific than the fuzzy comprehensive evaluation method.In the evaluation of the acceptance of autonomous driving technology,this paper will identify the two factors of safety and trust and the acceptance index of re-acquisition will be highlighted in the technical acceptance model under the background of autonomous driving,and establish the acceptance of automatic driving technology.Degree model ATAM.Thispaper designed a questionnaire,organized 300 volunteers to take the “Xinda” self-driving car,and filled out the questionnaire before and after the experience.In the statistical data analysis,the validity and reliability of the questionnaire were examined,the path coefficients between each factor and the index were calculated,and the ATAM model was verified and improved.The analysis results show that trust,perceived usefulness and perceived security positively affect people's intentions of using the self-driving car and the willingness to ride.Perceived ease of use can only predict behavioral intentions after the experience,and the results verify the automatic driving technology.The scientific model of the acceptance model ATAM.The self-driving vehicle intelligence evaluation method based on key data indicators and fuzzy comprehensive evaluation,and the automatic driving technology acceptance model ATAM,can evaluate the intelligence and acceptance of autonomous driving vehicles,and develop the automatic driving technology.The commercialization of self-driving cars has certain reference value.