Research On Route Planning Of Operating Vehicle Sharing Considering The Degree Of Passenger Trust

In the context of the rapid development of transportation in China,the amount of travel is increasing,and the frequency of passengers taking taxis is also increasing.Especially after the subway stops running,passengers usually choose to take operating vehicles,especially near railway stations.However,passengers will face the problem of waiting for operating vehicles for a long time when taking taxis,and the phenomenon of "stacking" of passengers is particularly obvious.Evacuating these passengers is a problem we need to solve.In view of the above situation,the mode of ride-sharing travel can effectively solve the above problems,and is conducive to the improvement of vehicle occupancy rate and utilization rate.At the same time,in the current social situation,an important reason affecting the development of ride-sharing is that passengers lack a sense of security when they travel in ride-sharing.The lack of security is mainly due to the distrust of ride-sharing people,and the degree of trust of passengers in ride-sharing travel mode is relatively low.In order to solve the above problems,this paper considers the trust problem of passengers on the basis of vehicle sharing,with the purpose of more effectively evacuating passengers who have difficulty in taking a taxi at night and improving their enthusiasm in choosing ride-sharing.Specific research contents are as follows:First of all,by dividing the vehicle sharing mode,the categories of the vehicle sharing mode in this paper are determined,and the factors affecting passengers’ choice of ride-sharing are summarized.Among them,the degree of trust of passengers is one of the main factors affecting passengers’ choice of ride-sharing.Finally,the study of ride-sharing considering the degree of trust of passengers is determined.In terms of passenger trust degree,the fuzzy comprehensive evaluation method is used to measure the passenger trust evaluation in the combination,which is the basis for the subsequent quantification of passenger trust degree.In the vehicle sharing model,the vehicle sharing model and algorithm considering the degree of passenger trust are established by taking the total distance of vehicle and the total trust value of passenger as the objective function,and restricting the capacity of vehicle,the distance of vehicle and the response of station service.Secondly,the improved genetic algorithm is used to optimize the vehicle sharing model.The algorithm in this paper adopts the methods of station coding,fragment crossing and internal two-bit exchange variation for vehicle sharing problem.Finally,taking the area near Xinfadi of Beijing as the research object and Beijing South Railway Station as the station for evacuating passengers,in this experimental environment,the destination of the vehicle is obtained by clustering algorithm as the destination of the passengers,and the experiment results are analyzed according to the ride-sharing model and algorithm considering the degree of passenger trust.The results show that the improved genetic algorithm can be used to plan suitable routes.By comparing the sharing mode which only considers distance optimization and the sharing mode which considers passenger’s trust degree,the trust level of sharing is improved and the enthusiasm of passengers is improved.The effect of the trust index on the result of the combination is analyzed through the case of the combination,and the result verifies the validity of the model.