MODEL OF POPULATION MIGRATION IN AGGLOMERATIONS WITHIN THE FRAMEWORK OF THE “SMART CITY” PARADIGM
DOI:
https://doi.org/10.37943/AITU.2020.26.65.009Keywords:
transport systems, smart city, population migration model, correspondence matricesAbstract
The urban agglomeration is a multitude of united settlements according to economic, labor, cultural, household, and recreational characteristics. Agglomeration is perceived as an integral territorial union; therefore, it is essential to consider it in the framework of the “smart city” paradigm. All movements of the population within the agglomeration, despite the seeming chaos, can be presented systematically and identified certain patterns. These regularities will optimize the city’s infrastructure by shaping its transport system in such a way that it will be possible to exclude potentially emergency sections on the roads and reduce the traffic load on highways. In order to optimize the infrastructure of the agglomeration, the existing model of transport networks and population movement (migration) within it are considered.
The article presents an analysis of the “smart city” paradigm, describes its multidimensional structure and levels on which the urban infrastructure is built, and provides mathematical models based on which the agglomeration transport system is formed. To describe the model of population movement within the framework of an agglomeration, a data warehouse is considered, which contains information about an urban transport network comprising a set of points and communications laid between them. Based on this transport network, a route network is formed, which is a collection of all transport routes.
The paper describes a model of a transport and distribution system taking into account temporal and spatial characteristics and a model of an intelligent city transport system based on a hyper network. The models of transport systems used foreign countries’ experience, where there is a tendency to improve navigation and monitoring systems within the transport intelligent system of the city, are described.
References
Городская агломерация [Электронный ресурс] // Режим доступа: https://bigenc.ru/geography/text/2371705 – Дата доступа:22.11.2020.
Komninos, N. (2018). Smart cities. The SAGE Encyclopaedia of the Internet, 783-789.
Яворский, В.В. (2019). Обработка данных в хранилище интеллектуальной транспортной системе города с использованием оркестрации. IV Международная научно-практическая конференция «Информатика и прикладная математика», – Алматы, 59-64.
Утепбергенов, И.Т. (2019). Организация хранилищ данных для СМАРТ систем городского общественного транспорта // Алматы, 114-119.
Пугачев, И.Н. (2015). Теоретические принципы и методы повышения эффективности функционирования транспортных систем городов // Уральский государственный университет. – Екатеринбург, 21-39.
Дмитриев, И.И. (2017). Умные дороги и интеллектуальная транспортная система // Строительство уникальных зданий и сооружений, 8-28.
Ахмедиярова, А.Т., Сонькин, М.А., Яворский, В.В., Фофанов, О.Б., Клюева, Е.Г., & Чванова, А.О. (2019). Формирование хранилища данных путей передвижения в городе. In Информационные технологии в науке, управлении, социальной сфере и медицине: сборник научных трудов VI Международной конференции, 14-19 октября 2019 г., Томск. — Томск, 2019. (pp. 73-78).
Клюева, Е.Г., Яворский, В.В., Адамов, А.А. (2019). Определение оптимального разбиения элементов матриц при параллельном умножении на гетерогенных процессорах. Материалы научной конференции ИИВТ КН МОН РК «Инновационные IT и Smart-технологии», посвященной 70-летнему юбилею профессора Утепбергенова И.Т. — Алматы: ИИВТ МОН РК. (pp. 176-181).
Интеллектуальная транспортная система: «умный» город в движении [Электронный ресурс] // Режим доступа: https://rostec.ru/news/intellektualnaya-transportnaya-sistema-umnyy-gorod-v-dvizhenii/ – Дата доступа: 25.11.2020.
Intelligent Transportation Systems for Sustainable Development in Asia and the Pacific [Электронный ресурс]
Downloads
Published
How to Cite
Issue
Section
License
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Authors who publish a manuscript in this journal agree to the following terms:
- The authors reserve the right to authorship of their work and transfer to the journal the right of first publication under the terms of the Creative Commons Attribution License, which allows others to freely distribute the published work with a mandatory link to the the original work and the first publication of the work in this journal.
- Authors have the right to conclude independent additional agreements that relate to the non-exclusive distribution of the work in the form in which it was published by this journal (for example, to post the work in the electronic repository of the institution or publish as part of a monograph), providing the link to the first publication of the work in this journal.
- Other terms stated in the Copyright Agreement.