Search

To explore the influencing factors and mechanism of people’s trust on autonomous vehicles(AVs), the trust model of AVs was designed from six perspectives: information content, information carrier, information channel, system transparency, technical capability and situation management. The structure validity, convergent validity and discriminant validity of confirmatory factor analysis, the intermediary effect analysis and path analysis were used for the fitting test of the structural equation model. It was found that information channel, system transparency and information carrier have significant effect on AVs trust. Information content, information carrier and information channels not only affect AVs trust directly, but also affect AVs trust through the intermediary variable of system transparency. [ABSTRACT FROM AUTHOR]

Aimed at how to determine expert weights in group evaluation， a group evaluation method based on the convincing force of evaluators was proposed from the perspective of the attention degree of expert information in order to improve the credibility of evaluation results. It was found that this method not only guarantees the completeness of evaluators’ evaluation information， but also integrates evaluators’ experience information and other information in the evaluation process to ensure the accuracy of evaluation results. Firstly， the evaluation context was set and the research hypotheses were made， and then a distinction between evaluators and evaluation requestors was made. Secondly， the computational model of convicing force was constructed and its validity was expounded upon. Finally， a nonlinear programming model was used to calculate the final evaluation result of every evaluated object. [ABSTRACT FROM AUTHOR]