Methodology for developing a demand-responsive transport system
Abstract
The article discusses the methodology for developing a demand-responsive transport system aimed at improving the efficiency of urban passenger transportation. The architecture of the mobile application, algorithms for route optimization and demand forecasting, as well as integration with the existing transport infrastructure are described. The importance of using machine learning and data analysis to adapt the system to changing conditions is emphasized. The results of the study demonstrate the potential of the described system to improve the quality of transport services and reduce costs.
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Review
Рецензент: Ю.А. Короткова, канд. техн. наук, доц., МАДИ
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