| In recent years,the emergence of Cooperation Vehicle Infrastructure System provides new technical means for reducing traffic environmental pollution,relieving traffic congestion,improving traffic safety and improving traffic operating efficiency.As an emerging technology for intelligent transportation,Cooperation Vehicle Infrastructure System still suffers from adaptability problems such as low acceptance and mismatched driving habits,which greatly affects people’s trust and acceptance.As the part of the adaptability of Cooperation Vehicle Infrastructure System,acceptance and efficiency are urgently needed to be further studied to meet the adaptability requirements of Cooperation Vehicle Infrastructure System during the sustainable development process.This paper aims to clarify the adaptability of Cooperation Vehicle Infrastructure System.using driving simulation technology as the technical support,adopting questionnaire survey,Technology Acceptance Model,Structural Equation Modeling,Graph Theory and other methods and models,it focuses on the research of the adaptability of Cooperation Vehicle Infrastructure System in terms of acceptance and efficacy.Firstly,this paper studied the definition of the adaptability of Cooperation Vehicle Infrastructure System,considered the human factors that affect the adaptability,and selected indexes from three aspects including psychological factors,operation behaviors,and vehicle operation states to evaluate the adaptability.It used the questionnaire survey to design the experiment in order to acquire data of the acceptance,designed the driving simulation environment using driving simulation technology,simulation software and other equipment,and the experimental task in order to acquire data of the efficacy.Secondly,the acceptance model of Cooperation Vehicle Infrastructure System was established based on the Technology Acceptance Model,and the hypothesis of the model is given according to the relevant literature at home and abroad;the reliability and validity of the questionnaire survey data were tested by SPSS software;the hypothesis of the model was tested by PLS-SEM,the results show that the model is reasonable and effective to describe the acceptance of Cooperation Vehicle Infrastructure System,and some suggestions were given to improve the public’s acceptance according to the test results.Thirdly,this paper analyzed the efficacy of Cooperation Vehicle Infrastructure System in terms of driver’s operation behavior and vehicle operation states.The characteristic graph was constructed in the four scenarios including forward collision warning,curve warning,construction area warning and dense fog warning under the warning prompt of Cooperation Vehicle Infrastructure System by using the Graph Theory based on the chart description,and the similarity of the characteristic graph was analyzed.The speed and acceleration of the drivers through the forward collision,curve,construction area,dense fog range and the previous 500 m warning range were also statistically analyzed.It is found that Cooperation Vehicle Infrastructure System has certain effect on influencing the driver’s operation behavior and reducing the driving speed and acceleration with the warning prompt.Finely,the evaluation indicators of the adaptability of Cooperation Vehicle Infrastructure System were established according to the research results of acceptance and efficacy.The adaptability of Cooperation Vehicle Infrastructure System was evaluated by Analytic Hierarchy Process(AHP).And it is found that the adaptability of Cooperation Vehicle Infrastructure System is improved after experiencing the system.In a summary,this paper studied the adaptability theories of Cooperation Vehicle Infrastructure System,designed adaptive test experiments including acceptance and efficacy,determined the psychological factors that affect the acceptance of Cooperation Vehicle Infrastructure System,Clarified the micro-driving behavior characteristics of the drivers in the vehicle-road coordination environment,and evaluated the adaptability,which lays the foundation for improving the drivers’ acceptance of Cooperation Vehicle Infrastructure System and designing the assistance driving service based on the driver’s personalization in the future. |