sibadiНаучный рецензируемый журнал "Вестник СибАДИ"The Russian Automobile and Highway Industry Journal2071-72962658-5626The Siberian State Automobile and Highway University10.26518/2071-7296-2022-19-3-370-397sibadi-1466Research ArticleТРАНСПОРТTRANSPORTМетодика определения корреспонденций пассажиров общественным транспортом из операций валидаций электронных проездных билетовMethodology for determining passengers correspondence by public transport from electronic tickets validation operationshttps://orcid.org/0000-0001-6581-7087ФадеевА. И.FadeevA. I.

Фадеев Александр Иванович – д-р техн. наук, доц. кафедры транспорта

г. Красноярск

Aleksandr I. Fadeev – Dr of Sci., Associate Professor of the Transport Department

Krasnoyarsk

9135335784@mail.ruhttps://orcid.org/0000-0003-3028-0675АлхуссейниС.AlhusseiniS.

Алхуссейни Сами – аспирант кафедры транспорта

г. Красноярск

Sami Alhusseini – Postgraduate student of the Transport Deparment

Krasnoyarsk

eng.sami20143@gmail.comСибирский федеральный университетРоссияSiberian Federal UniversityRussian Federation202229062022193370397Copyright © Фадеев А.И., Алхуссейни С., 20222022Фадеев А.И., Алхуссейни С.Fadeev A.I., Alhusseini S.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://vestnik.sibadi.org/jour/article/view/1466

Введение. Существующие методы определения пассажирских потоков вследствие их трудоемкости и ограниченной эффективности не позволяют осуществлять на должном уровне мониторинг транспортного спроса. В настоящее время для создания эффективных решений (в том числе на общественном транспорте) используются технологии, основанные на сборе, интеграции и анализе больших данных (Urban computing, Big data, Internet of things).Материалы и методы. В рамках данного подхода разработана методика определения корреспонденций пассажиров общественным транспортом из операций валидаций электронных проездных билетов (Electronic Travel Tickets): смарт-карт (smart card), транспортных карт, магнитных карт, мобильных телефонов или других электронных устройств (Electronic Gadgets), реквизиты которых фиксируются в автоматизированной системе оплаты проезда Automated Fare Collection (AFC) при выполнении операции валидации.Методика, основанная на определении и оценке множества допустимых вариантов связанности последовательности пассажирских поездок, позволяет рассчитывать параметры пассажирских корреспонденций с учетом множества факторов, оказывающих влияние на выбор пассажиром маршрутов поездок. Например, в отличие от ранее выполненных исследований, учтена практика оплаты проезда в любой точке маршрута, не обязательно сразу же после посадки в транспортное средство.Результаты. Доказано, что пассажирские корреспонденции, рассчитанные посредством разработанной методики, статистически соответствуют генеральному множеству поездок общественным транспортом в пределах допустимых погрешностей, в результате обеспечивается оценка характеристик спроса общественного транспорта.Обсуждение и заключение. Применение разработанной методики позволяет организовать непрерывный мониторинг пассажирских потоков, технико-эксплуатационных показателей функционирования общественного транспорта и таким образом реализовать концепцию устойчивого развития общественного транспорта посредством проектирования транспортного предложения, соответствующего спросу.

Introduction. Current methods for determining passenger ridership, due to their complexity and limited efficiency, do not allow monitoring transport demand at the proper level (in terms of comprehensiveness and continuity). Nowadays, technologies based on the collection, integration and analysis of big data (Urban computing, Big data, Internet of things) are used to create effective solutions in many aspects of our lives (including for urban transit).Materials and methods. Within the framework of this approach, a methodology for determining the correspondence of transit passengers from the operations of validating any kind of electronic travel tickets: smart cards, transport cards, magnetic cards has been developed. Each operations details are recorded in the Automated Fare Collection (AFC) system during the validation.This methodology based on the definition and evaluation the set of acceptable options of passenger trips sequences, which form the passenger correspondence, taking into account many factors that effect on the route choice by a passenger. For example, in contrast to previous studies, the practice of paying for trip at any point on the route, not necessarily immediately after boarding the vehicle, was taken into account.Results. It was proved that passenger correspondence calculated using the developed methodology statistically corresponds to the general set of transit passenger ridership within acceptable errors. The chaacteristics of transit demand is provided in the results.Discussion and conclusion. The application of the developed methodology makes it possible to organize continuous monitoring of passenger flows, technical and operational indicators of the functioning of transit system and thus implement the concept of sustainable development of public transport by designing public transit supply that meets demand.

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The authors declare that there are no conflicts of interest present.