Pedestrians To Autonomous Vehicles Acceptance Research And Improvement Analysis

With the continuous construction and development of smart cities and intelligent transportation,autonomous vehicles will become an inevitable product in the field of transportation.Its market application is expected to improve traffic safety,traffic efficiency and social efficiency.The existing researches on autonomous vehicles mostly focus on autonomous driving technology.In fact,autonomous vehicles are still in the evaluation stage.Moreover,China’s road traffic environment is complex and the flow of people and vehicles is dense.And there is no reliable data to support the concept that autonomous vehicles are safer than manual driving.Therefore,as the most vulnerable and important users on the road,pedestrians’ acceptance of autonomous vehicles is not clear.Aiming at the insufficiency of pedestrian behavior and pedestrian acceptance in the autonomous driving environment,this article uses pedestrians as the research object to carry out its research on the acceptance of autonomous vehicles and its improvement methods.Firstly,based on the original Theory of Planned Behavior(TPB)and Car Technology Acceptance Model(CTAM)research and the review of existing studies,the TPB Theory and CTAM Model were improved.Combining the two models,the influence of vehicle model design and travel mode choice on behavioral intention was introduced to explore the key factors affecting pedestrian acceptance of autonomous vehicles.Then,a questionnaire was designed based on the model.Random surveys were conducted on pedestrians from the four aspects of personal attributes,pedestrians’ behavior,pedestrian technical acceptance and the combination of the two models.A total of 1160 valid questionnaires were collected,and empirical analysis of the survey samples was conducted by descriptive statistics and reliability and validity test.Secondly,based on TPB theory and CTAM model optimization and combination,the pedestrian acceptance model of autonomous vehicles was analyzed by using the Ordered Logit model.Personal attribute variables,pedestrians’ behavior variables,vehicle technology acceptance variables and the two models combined with related variables were integrated into the Ordered Logit model to screen out the key influencing factors of pedestrian acceptance of autonomous vehicles.The results verified the applicability of the optimization and combination of TPB theory and CTAM model,and analyzed the influencing factors based on the model calibration results.Finally,the factors influencing the acceptance of autonomous vehicles based on the obtained pedestrians are analyzed for improvement.This paper sequentially analyzes the sensitivity analysis of pedestrian crossing risk intention based on the binomial logit model,the analysis of pedestrian technical preferences based on the second-order cluster analysis,and the analysis of the difference in pedestrian demand based on the combination of TPB theory and CTAM model.Finally,based on the influence factors of pedestrian acceptance of autonomous vehicles,improvement analysis methods were carried out.This paper analyzed in turn the sensitivity of pedestrian crossing risk preferences based on the binomial logit model,the technical preferences of pedestrians based on second-order cluster analysis,and the difference in pedestrian demand based on the combination of TPB theory and CTAM model.It verifies the high degree of fit of the built model through various model verification indicators.Then it enhances the understanding of the acceptance intention of autonomous vehicles from the perspectives of pedestrian behavior and pedestrian technology preference respectively,and proposes targeted countermeasures from multiple perspectives through in-depth analysis of influencing factors.The research conclusion has certain improvement theory and data support,and provides reference value for realizing the market application and management of autonomous vehicles.