Research On Passenger Classification And Metro Epidemic Prevention And Control Based On SCD

Smart Card Data(SCD)has a large sample size,continuous collection,and rich spatiotemporal information.It records a large number of passengers’ travel information,and the travel patterns of passengers can be mined from the travel information.Using travel information to classify passengers is helpful for conducting research on specific groups of people,optimizing urban transportation systems,and building social networks of people.While urban rail transit brings many conveniences,it also brings challenges to the emergency management of public health events.Public travel has a crucial impact on the spread of diseases.According to the passenger travel rules,a passenger travel simulation model is established to study the impact of infectious diseases on passengers.It is of great significance to the city’s response to the epidemic.Taking the credit card data of Hangzhou subway as an example,this paper conducts data mining and passenger classification of the credit card data,and studies the spread of infectious diseases among the population.The main work contents are as follows:1.Using the card swiping data after cleaning,the station passenger flow,travel time,and station area identification of Hangzhou Metro passengers are counted.The user card number is used as an index to extract individual travel trajectories,and the construction includes entry time,entry route,entry site,exit.station time,outbound routes and user travel chains of outbound stations,extract passenger travel intensity characteristics,temporal characteristics and spatial characteristics from them,and use the second-order clustering algorithm to establish a hierarchical clustering model for passenger travel.Passengers perform initial hierarchical clustering,and then perform second-level clustering based on temporal and spatial characteristics,and finally divide passengers into 8 categories,and analyze the travel rules and overall characteristics of different categories of passengers.2.Based on the Net Logo simulation platform,a multi-agent simulation model for the spread of infectious diseases is established,and the spatial movement laws of 8 types of passengers are used as the main features of the model to simulate the activities of the 8types of passengers in the subway,and to design simulation experiments of control measures.Make comparisons,observe the spread of infectious diseases,analyze the changes in the number of susceptible,infected,and recovered people,and analyze the impact of control measures on the spread of infectious diseases.3.Through the simulation test of the infectious disease control strategy,compare the three movement modes of passengers,the three infection probabilities under preventive measures,the number of different passengers in the environment,and the changes in the spread of infectious diseases when the three types of passengers are removed,and intuitively display the management and control from two perspectives The impact of measures on the spread of infectious diseases: slowing the growth rate of the epidemic and flattening the epidemic curve(that is,reducing the peak of cases),the results show the effectiveness of measures such as limiting the flow of people,seating in different places,and increasing the number of trains to control the spread of the disease,And put forward 5suggestions for control measures.