Определение потребных размеров движения пригородных поездов с учетом суточной и внутрисуточной неравномерностей распределения пассажиропотока

Abstract

Objective: Automation of processing data on passenger traffi c in an arbitrary direction in order to determine the number of “threadsˮ in the time schedule for suburban passenger traffi c in the future. Verifi cation of the adequacy of the existing infrastructure and design solutions for reconstruction in terms of ensuring the required throughput capacity of railway lines. Methods: The calculation of the number of trains is carried out by mathematical modeling of passenger traffi c distribution by hours of the day on each day of the week of the initial month. The identifi cation of trains with non-daily destination is made by comparing the calculation results for each day of the week. Results: An algorithm has been developed for calculating on a computer the perspective amount of suburban train traffi c, taking into account the uneven distribution of passenger traffi c by hours of the day and days of the week. Practical importance: The data obtained using the presented algorithm makes it possible to simplify the development of advance time schedules, taking into account the needs of the population in transportation. The results of the work can be used in feasibility studies for the reconstruction of station layout development and passenger devices, as well as serve as the basis for the technical re-equipment of lines in order to increase their throughput (replacement of signaling and communication equipment, construction of second main tracks, reconstruction of yard necks, etc.). The results of the calculation also make it possible to identify schedule “threadsˮ for withdrawal of trains on days of the week when they are not in demand, but at the same time take into account non-daily trains when developing a standard time schedule. The form of presentation of the results takes into account the spatial irregularity of passenger traffi c and makes it possible to distinguish zonal trains.