Project Bantay: Breadth-First Search and Dijkstra Implementation for Community-Accessible Disaster Response
- DOI
- 10.2991/978-94-6239-638-8_33How to use a DOI?
- Keywords
- Breadth-First Search; Dijkstra algorithm; flood propagation; graph optimization; disaster response
- Abstract
This research presents adapted implementations of Breadth-First Search (BFS) and Dijkstra’s algorithm for real-time flood prediction and evacuation routing. The work shows how government sensor data can be transformed into accessible disaster information for communities. The BANTAY system uses optimized graph algorithms that achieve O(V + E) complexity for flood spread prediction and O((V + E) log V) for evacuation routing,with processing times under one second across Metro Manila’s Pasig-Marikina-Tullahan Basin. The system connects a React frontend with a FastAPI backend and PAGASA sensor APIs that update every 30 seconds. This work demonstrates how classical algorithm optimization enables practical applications that serve communities for proactive disaster response rather than reactive emergency management. The system is publicly accessible at https://bantay-pmt.org/.
- Copyright
- © 2026 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Chris Nicole Piamonte AU - John Paul M. Curada AU - Marie Criz Zaragoza PY - 2026 DA - 2026/04/30 TI - Project Bantay: Breadth-First Search and Dijkstra Implementation for Community-Accessible Disaster Response BT - Proceedings of the Workshop on Computation: Theory and Practice (WCTP 2025) PB - Atlantis Press SP - 629 EP - 645 SN - 2589-4900 UR - https://doi.org/10.2991/978-94-6239-638-8_33 DO - 10.2991/978-94-6239-638-8_33 ID - Piamonte2026 ER -