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In order to study the influence of autonomous vehicles on short and medium distance mode choice for intercity travel, this paper incorporates the latent psychological variables that affect the choice behavior of autonomous vehicles into the latent class conditional logit model and establishes a hybrid choice model to conduct the empirical research based on the theory of planned behavior. The results show that compared with the traditional multinomial logit model, the latent class conditional logit model has higher fitting goodness. Travelers can be divided into three subgroups: class1, class2, and class 3, accounting for 40.7%, 24.4%, and 34.9%, respectively. At a 5% confidence level, gender, education, occupation, monthly household income, children, and IC card significantly affect the sample’s latent class.

Aiming at the problem of configuration selection of hybrid electric bus, a method of configuration optimization of plug-in hybrid electric bus is proposed. Several hybrid system configurations (P2, EVT+2AMT, EVT+CL1) for bus are presented, and the basic parameters of each system and the advantages and disadvantages of each configuration are introduced. The life cycle cost differentiation model of hybrid system configuration is established with the vehicle life cycle cost as the optimization index. On the premise of meeting the vehicle dynamics, the system configuration with the lowest life cycle cost is selected as the optimal configuration. To verify the rationality of the optimal hybrid system configuration, the fuel price and vehicle service life are selected as sensitivity factors to analyze the sensitivity of the life cycle cost differentiation model.