A Self-Adaptive Escape Route Planning Model Based on Dynamic Wildfire Information
Background: Escape routes are important measures for firefighters to ensure their own safety, providing predetermined paths to safe areas. Their establishment needs to consider numerous factors, such as the timeliness and safety of the routes. Aims: Optimize the path planning method previously studi...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-12-01
|
| Series: | Fire |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2571-6255/7/12/459 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1846104669298884608 |
|---|---|
| author | Hesun Wang Junhao Sheng Xindong Li Hongyang Zhao Dandan Li |
| author_facet | Hesun Wang Junhao Sheng Xindong Li Hongyang Zhao Dandan Li |
| author_sort | Hesun Wang |
| collection | DOAJ |
| description | Background: Escape routes are important measures for firefighters to ensure their own safety, providing predetermined paths to safe areas. Their establishment needs to consider numerous factors, such as the timeliness and safety of the routes. Aims: Optimize the path planning method previously studied by our team to ensure the dynamic nature, timeliness, and safety of the routes. Methods: (1) Propose a comprehensive safety index that encompasses both spatial and temporal safety indices, providing a more holistic approach to route safety. (2) Introduce spatial adaptive factors and spatial safety windows corresponding to the spatial safety index within the comprehensive safety index. (3) Present a new concept, the “observation cycle”, as a standard for the frequency of updating wildfire spread information, thereby addressing the issue of a lack of real-time input information. Based on this, we propose a reliable dynamic update rule for its updating. Results: Compared to the unoptimized model, the final optimized model’s planned escape routes offer impressive dynamic performance, effectively guarding against sudden changes in wildfire conditions, enhancing route safety, and ensuring timeliness. Conclusions: This research ensures that firefighters can effectively guard against the threats posed by sudden changes in wildfire conditions when escaping in wildfire environments, while also guaranteeing timeliness and safety. |
| format | Article |
| id | doaj-art-856faee1c3ea44a298b9ebaac3f3a205 |
| institution | Kabale University |
| issn | 2571-6255 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Fire |
| spelling | doaj-art-856faee1c3ea44a298b9ebaac3f3a2052024-12-27T14:25:46ZengMDPI AGFire2571-62552024-12-0171245910.3390/fire7120459A Self-Adaptive Escape Route Planning Model Based on Dynamic Wildfire InformationHesun Wang0Junhao Sheng1Xindong Li2Hongyang Zhao3Dandan Li4College of Mechanical and Electrical Engineering, Northeast Forestry University, Harbin 150040, ChinaCollege of Mechanical and Electrical Engineering, Northeast Forestry University, Harbin 150040, ChinaCollege of Mechanical and Electrical Engineering, Northeast Forestry University, Harbin 150040, ChinaCollege of Mechanical and Electrical Engineering, Northeast Forestry University, Harbin 150040, ChinaCollege of Mechanical and Electrical Engineering, Northeast Forestry University, Harbin 150040, ChinaBackground: Escape routes are important measures for firefighters to ensure their own safety, providing predetermined paths to safe areas. Their establishment needs to consider numerous factors, such as the timeliness and safety of the routes. Aims: Optimize the path planning method previously studied by our team to ensure the dynamic nature, timeliness, and safety of the routes. Methods: (1) Propose a comprehensive safety index that encompasses both spatial and temporal safety indices, providing a more holistic approach to route safety. (2) Introduce spatial adaptive factors and spatial safety windows corresponding to the spatial safety index within the comprehensive safety index. (3) Present a new concept, the “observation cycle”, as a standard for the frequency of updating wildfire spread information, thereby addressing the issue of a lack of real-time input information. Based on this, we propose a reliable dynamic update rule for its updating. Results: Compared to the unoptimized model, the final optimized model’s planned escape routes offer impressive dynamic performance, effectively guarding against sudden changes in wildfire conditions, enhancing route safety, and ensuring timeliness. Conclusions: This research ensures that firefighters can effectively guard against the threats posed by sudden changes in wildfire conditions when escaping in wildfire environments, while also guaranteeing timeliness and safety.https://www.mdpi.com/2571-6255/7/12/459escape routedynamismfirefighter safetytravel ratesleast-cost path modellingabrupt shifts in wildfire behavior |
| spellingShingle | Hesun Wang Junhao Sheng Xindong Li Hongyang Zhao Dandan Li A Self-Adaptive Escape Route Planning Model Based on Dynamic Wildfire Information Fire escape route dynamism firefighter safety travel rates least-cost path modelling abrupt shifts in wildfire behavior |
| title | A Self-Adaptive Escape Route Planning Model Based on Dynamic Wildfire Information |
| title_full | A Self-Adaptive Escape Route Planning Model Based on Dynamic Wildfire Information |
| title_fullStr | A Self-Adaptive Escape Route Planning Model Based on Dynamic Wildfire Information |
| title_full_unstemmed | A Self-Adaptive Escape Route Planning Model Based on Dynamic Wildfire Information |
| title_short | A Self-Adaptive Escape Route Planning Model Based on Dynamic Wildfire Information |
| title_sort | self adaptive escape route planning model based on dynamic wildfire information |
| topic | escape route dynamism firefighter safety travel rates least-cost path modelling abrupt shifts in wildfire behavior |
| url | https://www.mdpi.com/2571-6255/7/12/459 |
| work_keys_str_mv | AT hesunwang aselfadaptiveescaperouteplanningmodelbasedondynamicwildfireinformation AT junhaosheng aselfadaptiveescaperouteplanningmodelbasedondynamicwildfireinformation AT xindongli aselfadaptiveescaperouteplanningmodelbasedondynamicwildfireinformation AT hongyangzhao aselfadaptiveescaperouteplanningmodelbasedondynamicwildfireinformation AT dandanli aselfadaptiveescaperouteplanningmodelbasedondynamicwildfireinformation AT hesunwang selfadaptiveescaperouteplanningmodelbasedondynamicwildfireinformation AT junhaosheng selfadaptiveescaperouteplanningmodelbasedondynamicwildfireinformation AT xindongli selfadaptiveescaperouteplanningmodelbasedondynamicwildfireinformation AT hongyangzhao selfadaptiveescaperouteplanningmodelbasedondynamicwildfireinformation AT dandanli selfadaptiveescaperouteplanningmodelbasedondynamicwildfireinformation |