Road Network Partitioning
dc.contributor.author | Glenn, Liam | en |
dc.contributor.author | Ritter, Brooke | en |
dc.contributor.author | Sonawane, Swanand | en |
dc.contributor.author | Chatelain, Cliff | en |
dc.contributor.author | Zhu, Wavin | en |
dc.date.accessioned | 2025-06-04T15:19:43Z | en |
dc.date.available | 2025-06-04T15:19:43Z | en |
dc.date.issued | 2025-05 | en |
dc.description.abstract | This is a new project that works on building a web application that started in the Spring semester of 2025. Road network partitioning is essential for efficiently managing and analyzing large-scale transportation networks. It involves dividing a road system into smaller, more manageable segments or regions based on different factors, such as traffic flow, geographic location, and connectivity. It helps distribute traffic load evenly, reduce congestion in busy areas, enable faster and more effective routing for navigation systems, and support city planners in designing better road networks. In the Spring of 2025, our team began designing a web application that handles the partitioning of different road networks efficiently and seamlessly. Our system will incorporate multiple partitioning algorithms, allowing users to run simulations on various datasets and compare different partitioning methods through a history feature. Furthermore, we will also have a feature that lets the users run simulations using their own partitioning algorithm. The application will feature a user authentication system, an interface for creating new partitions, and a history page to track previous results. While the project is currently in the design and implementation phase, our goal is to provide a scalable and intuitive solution for traffic analysts, urban planners, and researchers. Future enhancements will include additional partitioning techniques and a more refined, user-friendly interface to further improve usability and performance. | en |
dc.identifier.uri | https://hdl.handle.net/10919/135053 | en |
dc.title | Road Network Partitioning | en |
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