A scheduling method of sharing automated taxi based on multi-objective decision

In this paper, we proposed a scheduling method of sharing automated taxi service based on multi-objective decision, which defines that the system provides transportation services in urban areas and achieves effective ways of door-to-door transportation service. Considering the user's willingness to carpool and the cost of travel time and route, we established a model and proposed an improved PSO algorithm for model solving. In this way, we can realize sharing travel. Ultimately, we conducted a small case study, using Matlab to carry out simulation experiments, applying the automated taxi system to a business district. In order to achieve system optimization based on known passengers' travel demand such as origin, destination, and travel time, we prefer users with the same travel route when the automated taxi matches. The results show that the model is suitable for small case studies, and the algorithm has good convergence and stability.