AI Chat Paper
Note: Please note that the following content is generated by AMiner AI. SciOpen does not take any responsibility related to this content.
{{lang === 'zh_CN' ? '文章概述' : 'Summary'}}
{{lang === 'en_US' ? '中' : 'Eng'}}
Chat more with AI
PDF (4.2 MB)
Collect
Submit Manuscript AI Chat Paper
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline
Research Article | Open Access

Adaptive path planning for arriving at firelines in dynamic wildfires and complex landscapes

Zeren Gesang1Bo Yu1,2Jiasong Zhu3,4,5,6Wenyu Jiang3,4,5,6( )
Transportation Department of Tibet Autonomous Region, Tibet 850001, China
Tibet Transportation Development Group, Tibet 850001, China
College of Civil and Transportation Engineering, Shenzhen University, Shenzhen 518060, China
Institute of Urban Smart Transportation & Safety Maintenance, Shenzhen University, Shenzhen 518060, China
National Key Laboratory of Green and Long-Life Road Engineering in Extreme Environment, Shenzhen University, Shenzhen 518060, China
MNR Key Laboratory for Geo-Environmental Monitoring of Great Bay Area, Shenzhen University, Shenzhen 518060, China
Show Author Information

Abstract

Timely deployment of firefighting efforts during the early stages of wildfires is essential to minimize disaster losses. However, complex landscapes and dynamic wildfire behaviors pose significant challenges to firefighters’ rapid arrival at firelines. This paper introduces an adaptive path planning model designed to provide optimal routes in such dynamic environments. A “wildfire–environment–personnel” (WEP) framework was proposed to capture the spatiotemporal interactions among key elements of wildfire scenarios. By integrating a wildfire spread model and a firefighter travel model, the framework simulates the dynamic interplay between wildfires and personnel in wildland settings. A WEP-based model was tailored to calculate adaptive routes from the starting point to the dynamic fireline. Model validation was conducted with a wildfire-prone area in Foshan city as the study site. In an experimental scenario, our model demonstrated a significant advantage over traditional methods, reducing arrival time by more than 60% and accurately identifying the dynamic intersection point of the fireline. These findings underscore the model’s potential for practical application in real-world wildfire suppression and rescue operations.

Graphical Abstract

References

【1】
【1】
 
 
Safety Emergency Science
Article number: 9590004

{{item.num}}

Comments on this article

Go to comment

< Back to all reports

Review Status: {{reviewData.commendedNum}} Commended , {{reviewData.revisionRequiredNum}} Revision Required , {{reviewData.notCommendedNum}} Not Commended Under Peer Review

Review Comment

Close
Close
Cite this article:
Gesang Z, Yu B, Zhu J, et al. Adaptive path planning for arriving at firelines in dynamic wildfires and complex landscapes. Safety Emergency Science, 2025, 1(1): 9590004. https://doi.org/10.26599/SES.2025.9590004

2175

Views

239

Downloads

0

Crossref

Received: 12 December 2024
Revised: 02 January 2025
Accepted: 08 January 2025
Published: 19 February 2025
© The Author(s) 2025.

This is an open access article under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0, http://creativecommons.org/licenses/by/4.0/).