Home Journals Articles Updates About
CN
image
收藏切换
Dynamically coordinated routing optimization for mountainous forest fire emergency supply delivery using multi-modal vehicles
收藏切换
PDF
Yufeng Zhou1, Jiahao Cheng2, **, Zimei Pan1, Changshi Liu3
China Safety Science Journal | 2026, 36(5) : 270 - 278
Less
收藏切换
China Safety Science Journal | 2026, 36(5): 270-278
• Public Safety and Emergency Management •
Dynamically coordinated routing optimization for mountainous forest fire emergency supply delivery using multi-modal vehicles
Full
Yufeng Zhou1, Jiahao Cheng2, **, Zimei Pan1, Changshi Liu3
Affiliations
  • 1 School of Management Science and Engineering, Chongqing Technology and Business University, Chongqing 400067, China
  • 2 School of Transportation and Logistics, Southwest Jiaotong University, Chengdu Sichuan 611756, China
  • 3 School of Management, Hunan University of Technology and Business, Changsha Hunan 410205, China
Published: 2026-05-28 doi: 10.16265/j.cnki.issn1003-3033.2026.05.0356
Outline
收藏切换

To address the challenges of multi-modal vehicle coordination and dynamic scheduling in emergency supply delivery for mountain forest fires, this study proposes an optimized route planning method for emergency supply distribution. Considering factors such as mountainous road network structures, demand urgency, motorcycle and drone participation, and air-ground collaborative delivery, a dynamic collaborative truck-drone-motorcycle route optimization model for mountain forest fire emergency supply delivery is constructed, aiming to minimize delivery time. An improved adaptive large neighborhood search (IALNS) algorithm with a repair operator is designed to solve the model, and it is compared with traditional ALNS and tabu search algorithms(TSA). Research findings indicate: The proposed model and algorithm are applicable to emergency supply delivery in mountainous forest fire scenarios. The IALNS outperforms both ALNS and TSA. Dynamic coordination strategies yield superior results compared to static coordination, reducing the total delivery time by 2.49% to 25.75%. Leveraging the advantages of motorcycles and drones is essential for establishing an optimized multi-vehicle collaborative delivery model.

forest fire  /  emergency deliveries  /  dynamically coordinated  /  vehicle routing problem(VRP)  /  adaptive large neighborhood search(ALNS)
Yufeng Zhou, Jiahao Cheng, Zimei Pan, Changshi Liu. Dynamically coordinated routing optimization for mountainous forest fire emergency supply delivery using multi-modal vehicles[J]. China Safety Science Journal, 2026 , 36 (5) : 270 -278 . DOI: 10.16265/j.cnki.issn1003-3033.2026.05.0356
Appendix
Less
Year 2026 volume 36 Issue 5
PDF
246
122
Cite this Article
BibTeX
Article Info
doi: 10.16265/j.cnki.issn1003-3033.2026.05.0356
  • Receive Date：2025-12-12
  • Online Date：2026-06-26
  • Published：2026-05-28
Article Data
Affiliations
History
  • Received：2025-12-12
  • Revised：2026-03-01
Funding
Affiliations
    1 School of Management Science and Engineering, Chongqing Technology and Business University, Chongqing 400067, China
    2 School of Transportation and Logistics, Southwest Jiaotong University, Chengdu Sichuan 611756, China
    3 School of Management, Hunan University of Technology and Business, Changsha Hunan 410205, China
References
Share
https://castjournals.cast.org.cn/joweb/zgaqkxxb/EN/10.16265/j.cnki.issn1003-3033.2026.05.0356
Share to
QR

Scan QR to access full text

Cite this article
BibTeX
Citations
表12种不同金属材料的力学参数
科
Family		 属数
Number of
genus		 种数
Number of
species		 占总种数比例
Percentage of
total species (%)		 属
Genus		 种数
Number of
species		 占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
关闭全屏
  • BibTeX
  • EndNote
  • RefWorks
  • TxT
Links
Articles
Latest Articles
Most Read
Collections
Updates
Events
News
Multimedia
About
About Us
Contact
No. 86 Xueyuan South Road, Haidian District, Beijing
100081
010-62199257
qkjq@cast.org.cn

Copyright © 2025 China Association for Science and Technology. All rights reserved. For all open access content, the relevant licensing terms apply.
Sponsored by the Office of the Leading Group for Cybersecurity and Informatization of CAST, and supported by Science and Technology Review Publishing House