A model for generating passenger traffic at city public transport stops has been developed. The key parameters, features, and limitations of the passenger traffic model are outlined. The categories of passengers that have characteristic features of behavior during daily movement around the city are identified. Two tasks were solved: an algorithm for generating hourly passenger traffic (based on the Poisson distribution) was developed; an algorithm for selecting a destination station for each passenger was created, taking into account its attractiveness. The total number of passengers arriving at city public transport stops, distributed per hour, is calculated. The results of the summation are presented in the form of a graph. The developed model of passenger traffic is planned to be used in the organization of management of the transport complex of the city to study the passenger flow between the stops of the city, as well as to improve the operation of the passenger transport system.


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    Title :

    Algorithm for Generating Passenger Traffic at Stops for the Urban Transport System Model


    Additional title:

    Studies in Systems, Decision and Control




    Publication date :

    2022-04-03


    Size :

    13 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English





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