Research On Optimization Of Passenger Transport Organization By Taiyuan Railway Station Based On Intelligence

In order to improve the intelligent service level and organizational efficiency of passenger transport,explore different ways to adjust the production organization mode,and study the organization optimization scheme of railway passenger transport based on intelligence,so as to put forward the update needs and application ideas of intelligent technology for the realization of the organization mode optimization scheme,which is an important development direction in the field of railway passenger transport organization.Especially in promoting the integration of intelligent new technology and railway business,accelerating the intelligent and high-speed mobile equipment,intelligent and unmanned transportation management,business service facilitation,humanization and other aspects.In this paper,intelligent technologies such as face recognition,big data and Internet of things are combined with elements such as station scale,layout and streamline.Taking Taiyuan Station as an example,this paper proposes an optimization plan for passenger transport organization applicable to large railway passenger stations.The optimization plan for passenger transport organization is designed in detail around three main links: inbound organization,waiting organization and outbound organization.At the same time,after taking full account of the intelligent optimization of the organization mode of passenger transport,the optimization space will be brought to the emergency plans under abnormal conditions such as large area delay of passenger trains,fire,public health emergencies,starting the hot standby train bottom to organize passenger transfer,and so on.Intelligent means will be used to improve the efficiency and quality of emergency treatment.In this paper,Any Logic simulation software is used for pedestrian database modeling,the simulation environment is constructed according to the structure of Taiyuan station,the flow chart and pedestrian route are set according to the actual situation,the equipment parameters and pedestrian parameters related to the model are set according to the data obtained from the investigation,and the appropriate time period is selected as the simulation object.The operation of the existing passenger transport organization mode and the intelligent optimized passenger transport organization mode of Taiyuan Station were simulated respectively,and the output data such as passenger queuing time and passing time were obtained respectively.The feasibility of the intelligent passenger transport organization optimization scheme designed in this paper was verified by comparison.On this basis,the paper also carries on the quantitative analysis and evaluation to the optimization plan of the intelligent passenger transport organization.This paper analyzes and studies the constituent factors of the evaluation of the passenger transportation organization program,establishes the evaluation index system of the passenger transportation organization program,including the four first-level indexes of streamline planning,equipment and facilities,service information and emergency organization,and further divides the 12 second-level indexes.Combined with the results of questionnaire and expert evaluation,AHP is used to determine the weight of the two-level evaluation indexes.The fuzzy comprehensive evaluation method is used to get the evaluation results between "good" and "excellent".Meanwhile,the space for further optimization and upgrading of the intelligent passenger transportation organization plan is found out,which provides the theoretical basis and improvement direction for the subsequent optimization and improvement.