Abstract
Natural disasters like earthquakes and floods can have a serious impact on road networks, which are critical to supply chain infrastructure and to provide connectivity. These extreme events can result in isolating people in the affected area from hospitals and emergency response. This paper presents an agent-based model for understanding flood propagation and developing inundation mapping. The results from the mapping are used to identify the roads prone to floods based on elevation data and flood simulation. A simulation environment was set up in SUMO, and the costs associated with the traffic disruption are evaluated. This paper discusses the integration of various techniques for a comprehensive flood prediction and rerouting system.
Recommended Citation
V. Gude et al., "Agent based Modeling for Flood Inundation Mapping and Rerouting," Procedia Computer Science, vol. 168, pp. 170 - 176, Elsevier B.V., May 2020.
The definitive version is available at https://doi.org/10.1016/j.procs.2020.02.279
Meeting Name
Complex Adaptive Systems Conference (2019: Nov. 13-15, Malvern, PA)
Department(s)
Engineering Management and Systems Engineering
Keywords and Phrases
Agent-Based Modeling; Flood mapping; SUMO; Traffic Rerouting; Traffic Simulation
International Standard Serial Number (ISSN)
1877-0509
Document Type
Article - Conference proceedings
Document Version
Final Version
File Type
text
Language(s)
English
Rights
© 2020 The Authors, All rights reserved.
Creative Commons Licensing
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.
Publication Date
13 May 2020
