ENHANCING PUBLIC PASSENGER TRANSPORT ROUTE SELECTION METHODS. A COMPREHENSIVE REVIEW AND FUTURE DIRECTIONS
Keywords:
Public transport, route selection, geographic information systems, demand analysis, multi-criteria decision analysis, machine learning, predictive analytics, adaptive systems.Abstract
Efficient public passenger transport systems play a pivotal role in addressing urban mobility challenges. The selection of optimal transport routes is a critical aspect of ensuring the effectiveness of these systems. This scientific article reviews current methods for selecting public passenger transport routes and explores avenues for improvement. By analyzing existing methodologies, identifying challenges, and proposing innovative solutions, this article aims to contribute to the advancement of public transportation planning.
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