IMPROVING PUBLIC TRANSPORT ROUTE PLANNING ON URBAN STREETS
DOI:
https://doi.org/10.5281/zenodo.20048289Keywords:
smart cities; public transportation; simulation; multimodal transportation; behavior-enabled routing; quality of experience; quality of serviceAbstract
Urban streets serve as the primary arteries for public transport systems, yet inefficient route planning
often leads to congestion, delays, high operational costs, and low ridership. This paper explores strategies for
optimizing public transport routes on city streets, focusing on network design, infrastructure improvements,
data-driven optimization, and integration with urban planning. Drawing on best practices from cities such as
Curitiba, Bogotá, and Singapore, as well as lessons applicable to rapidly growing cities such as Tashkent,
the study examines mathematical models, GIS and AI applications, Bus Rapid Transit (BRT) implementation,
and Complete Streets principles. The analysis highlights how targeted interventions—dedicated lanes, signal
priority, stop optimization, and multimodal integration—can enhance efficiency, sustainability, equity, and the
attractiveness of public transport. Recommendations include phased implementation, stakeholder engagement,
and performance monitoring to achieve reliable, user-oriented systems that reduce private vehicle dependency
and support livable cities.
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