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DETERMINATION OF THE THROUGHPUT CAPACITY OF STOP POINTS OF URBAN PUBLIC TRANSPORT
Author(s) -
A I Fadeev,
Э. В. Фомин,
S. Alhusseini
Publication year - 2020
Publication title -
the russian automobile and highway industry journal
Language(s) - English
Resource type - Journals
eISSN - 2658-5626
pISSN - 2071-7296
DOI - 10.26518/2071-7296-2020-17-2-248-261
Subject(s) - throughput , queue , queueing theory , point (geometry) , computer science , public transport , process (computing) , set (abstract data type) , capacity planning , point of interest , transparency (behavior) , transport engineering , operations research , engineering , computer network , mathematics , telecommunications , computer security , geometry , artificial intelligence , wireless , programming language , operating system
. One of the most important parameters of the transport system is the capacity of line, which in urban public transport system is usually determined by the stop points throughput capacity. When determining the throughput capacity of stop points, it is necessary to consider the random nature of the transport flows at the stop and the process of boarding and alighting passengers. In this work, the stop point is considered as a multi-channel single-phase queuing system (QS). On this basis, an approach to determining the throughput capacity of stop points in urban passenger transport is proposed and justified. Materials and methods . Two mathematical models of a stop point as QS are considered: analytical and simulation. Based on the obtained analysis results from these models, recommendations are offered for calculating the actual throughput capacity of a stop point. Results. In this article, as example a specific stop points are taken, to evaluate the performance of the proposed mathematical models and formulate recommendations to determine its throughput capacity. Discussion and conclusion . The proposed procedure for determining the stop points throughput capacity, consisting of identifying critical stop points with the highest passengers traffic, determining the service process parameters of fleet, and calculating the probability of queue occurrence, allows to set the maximum traffic intensity for the lines of urban public transport. Financial transparency: the authors have no financial interest in the presented materials or methods. There is no conflict of interest.

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