Optimization of passenger transportation management under the conditions of unstable seasonable passenger traffic

Passenger public transport is very important for the social-economic development of any territory, and that is why consideration of the issues of sustainable functioning and optimization of the transportation management is relevant, which underlies the authors' research. Owing to this, the article addresses the problem of passenger transportation management optimization under the conditions of unstable seasonable passenger traffic in cities. The leading method to study this transport problem is dynamic programming, which is based on the package of recurrence relations. The article presents an optimization criterion in the situational task to manage passenger traffic, demonstrates the objective function that allows optimal additional distribution of passenger vehicles along each city route depending on the time of year, identifies the optimal number of passenger vehicles and substantiates the method of dynamic programming in solving a transportation problem. As the result of the study, an algorithm that determines the required number of rolling stock on the route of public transport by dynamic programming has been developed and the results of calculations depending on the period of instability of seasonal passenger traffic have been provided. The materials of the article are of practical value for applied researchers in the auto transport complex.

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