К содержанию
РецензированоEN2025

PROBLEMS OF DEVELOPING URBAN PASSENGER TRANSPORT SYSTEMS AND THE ROLE OF ARTIFICIAL INTELLIGENCE

ZingirovSaydolim Zhuraevich

Международный журнал искусственного интеллекта · 05 · 543–550 · 2025

Аннотация

This article highlights the main problems in the development of urban passenger transport systems and the role of artificial intelligence (AI) technologies in their solution. AI- based systems play an important role in traffic flow management, traffic congestion reduction, traffic speed increase, and passenger flow analysis. The article also analyzes how AI increases theefficiency of the urban transport system through functions suchas real-time data processing, route optimization, and service quality monitoring. As a result, the possibilities of sustainable andintelligent management ofurban transport infrastructureusingAI technologies are shown. Keywords: artificial intelligence, urban transport, traffic, passenger flow, optimization, efficiency Introduction. Today, the rapid expansion of cities, the acceleration of the urbanization process, and the growing demand of the population for transport make the development of urban passenger transport systems an urgent issue. As population density increases, new and complex problems arise for the city's internal transport systems. In particular, such issues as traffic congestion, environmental pollution, inconvenience for passengers, ensuring the continuity and safety of traffic require more and more attention. To effectively solve these problems, the use of modern technologies, in particular, the capabilities of artificial intelligence (AI), isexpanding [1-3]. Traditional transport systems are often dependent on the human factor, which leads to certain limitations and errors. Meanwhile, modern artificial intelligence systems can perform many functions, such as accurate traffic flow management, passenger flow forecasting, traffic jam prevention, and traffic optimization, by collecting, processing, and analyzing data in real time. In particular, thanks to intelligent transport systems based on artificial intelligence (ITS - Intelligent Transport Systems), it will be possible to achieve automatic control by integrating it withurban infrastructure[4]. At the same time, through the introduction of AI technologies, efficiency will be achieved in many areas, such as adapting the schedule of buses, subways, and other public transport, optimizing routes, creating real-time passenger information systems, and monitoring the technical condition of vehicles. This not only creates convenience for passengers, but also plays an important role in ensuring environmental sustainability, reducing fuel consumption, and reducing theoverall costs of thetransport system [5]. From this point of view, this scientific work is aimed at analyzing existing problems in the development of urban passenger transport systems and a deep study of the role of artificial intelligence technologies in solving these problems. The article examines current problems in the transport system, the main functions of artificial intelligence, advanced foreign experience, existing technologies, and the possibilities of their implementation. Also, the prospects of using artificial intelligence in thecities ofUzbekistan, in particular, inthe transport system ofAndijan, willbeassessed based onthecurrent situation and proposals [6]. 225 INTERNATIONAL JOURNAL OF ARTIFICIAL INTELLIGENCE ISSN:2692-5206,ImpactFactor:12,23 AmericanAcademicpublishers,volume05,issue08,2025 Journal: https://www.academicpublishers.org/journals/index.php/ijai The purpose of this study is to develop scientific and practical foundations for the implementation of artificial intelligence technologies and to provide practical recommendations for bringing the urban transport system to a more efficient, safe, and environmentally friendly state. Resultandconclusion. As a result of the analysis of urban passenger transport systems, the following problems were identified: 1.unbalanced development of urban transport types (dominance ofbus communication). 2.formation of barriers due tohigh load onthe road network and, as a consequence, an increase inthelevel ofmotorization, an increase in thenumber and sizeofthe city's population. 3. lack of disorganized parking spaces and parking spaces, parking spaces for cars and automobiles. Low level of development of road infrastructure - the same level of location of roads and railways, lack ofpriority movement ofpublictransport. 4.lowdevelopment ofsuburban transport, concentration ofpassengers using suburban transport, etc. In the context of a modern large city, the main volume of passenger traffic is carried out mainlybypublictransport, among which themost widespread. Today, the problem of traffic congestion is the main one for millionaire cities. Experience shows that the following organizational and road-building methods are used to solvetransport problems: - organization of alternative movement of vehicles with even and odd numbers on different days oftheweek; -introduction ofpaid entry zonesinto thecentral part ofthecity; - Strengthening measures against offenders for parking vehicles in improper locations, un

Доказательный фрагмент

«This article highlights the main problems in the development of urban passenger transport systems and the role of artificial intelligence (AI) technologies in their solution.»

Образец извлечения

Демо-превью

This article highlights the main problems in the development of urban passenger transport systems and the role of artificial intelligence (AI) technologies in their solution. Полный текст публикации CiteX не хранит — доступ к первоисточнику открывается по DOI согласно лицензии издателя и выбранному плану.

DOI не указан
Цитирований
0
Тип
Журнал
Страна
Узбекистан
Ключевые слова
artificial intelligence, urban transport, traffic, passenger flow, optimization, efficiency
Спросить CiteX об этой работе

Смежные источники

[2]ТехникаENРецензированоОткрытый доступ
RESEARCH RESULTS CLEANING GRAIN HARVEST COMBINE HARVESTER

ЖУРНАЛ ТЕХНИЧЕСКИХ ИССЛЕДОВАНИЙЭлмурод Сотволдиевич Умаров, Зиёдбек Шавкатович Халилов +12021

5