Urban streets serve as the primary arteries for public transport systems, yet inefficient route planningoften leads to congestion, delays, high operational costs, and low ridership. This paper explores strategies foroptimizing 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 asCuritiba, 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, signalpriority, stop optimization, and multimodal integration—can enhance efficiency, sustainability, equity, and theattractiveness of public transport. Recommendations include phased implementation, stakeholder engagement,and performance monitoring to achieve reliable, user-oriented systems that reduce private vehicle dependencyand support livable cities.
| Mualliflar | Maxmudov , Zuxriddin |
|---|---|
| Jurnal | Innovation science and technologiy |
| Nashr sanasi | 2026-04-01 |
| Jild | 2 |
| Son | 4 |
| Til | Ingliz |
| DOI | 10.5281/zenodo.20048289 |
DOI: 10.5281/zenodo.20048289 · Maqolaning asl sahifasi
smart cities; public transportation; simulation; multimodal transportation; behavior-enabled routing; quality of experience; quality of service
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