ALGORITHM DESIGN FOR IDENTIFYING RATIONAL PARAMETERS OF EXPRESS BUS SERVICE IN URBAN SETTINGS
Taran I. Lytvyn V. Muratbekova G.
2025Faculty of Transport and Aviation Engineering, Silesian University of Technology
Scientific Journal of Silesian University of Technology. Series Transport
2025#129237 - 259 pp.
In modern urban environments, the efficiency of public transportation systems plays a crucial role in ensuring sustainable mobility and reducing traffic congestion. Among various public transport services, bus systems remain the most flexible and widely used mode of transit. However, growing travel demand and increasing road traffic intensity often lead to delays, decreased service reliability, and reduced passenger satisfaction. One effective solution to these challenges is the implementation of express bus services, which offer limited-stop operations aimed at reducing travel time and improving overall system efficiency. This study focuses on the development of an algorithm for determining the rational parameters of the express mode of bus traffic in urban areas. The proposed approach considers factors such as passenger flow distribution, traffic conditions, and operational constraints to identify optimal solutions that enhance service performance and passenger convenience. The results are expected to contribute to the improvement of urban public transport systems by providing a methodological framework for efficient express service planning and management.
bus route , express mode , number of stops , quality of service , rational parameters , transport efficiency
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Department of Roads and Bridges, Rzeszow University of Technology, Powstańców Warszawy Ave. 12, Rzeszów, 35959, Poland
Transport Management Department, Dnipro University of Technology, D. Yavornytskoho Ave.19, Dnipro, 49005, Ukraine
Department of Organization Air Transportation and Logistics, Academy of Civil Aviation, 44 Akhmetova st, Almaty, 050039, Kazakhstan
Department of Roads and Bridges
Transport Management Department
Department of Organization Air Transportation and Logistics
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