Optimization analysis of the distribution path for hybrid vehicle-drone emergency medical supplies in the event of natural disaster

Haidong Huang; Guanxiang Zhang; Bingning Wang

doi:10.1117/12.3050816

20 January 2025 Optimization analysis of the distribution path for hybrid vehicle-drone emergency medical supplies in the event of natural disaster

Haidong Huang, Guanxiang Zhang, Bingning Wang

Author Affiliations +

Proceedings Volume 13422, Fourth International Conference on Intelligent Traffic Systems and Smart City (ITSSC 2024); 134220Z (2025) https://doi.org/10.1117/12.3050816
Event: Fourth International Conference on Intelligent Traffic Systems and Smart City (ITSSC 2024), 2024, Xi'an, China

Abstract

Emergency medical supplies have challenges related to promptness and expenses associated with transportation during natural catastrophes. Utilizing drone delivery is a key approach to address the complete logistical problem. Thus, to enhance the efficient spread of emergency medication, this study suggests a cooperative distribution approach called "vehicle-drone." The model makes use of a different two-level distribution model: materials are delivered by drone from the regional disaster centers to the related disaster points at the second level, and materials are delivered by vehicles from the first-level distribution center to the regional disaster centers and the edge areas at the first level. The OPTICS-FCM algorithm groups the regional catastrophe centers together and assigns them as secondary distribution centers. The classic particle swarm technique is used to optimize the course of the vehicle, but the Adaptive Elite Genetic technique (AEGA) is employed to optimize the path of the drone, considering time window restrictions and limitations in the drone's range. Given the simulation results, the "vehicle-drone" cooperative distribution model may effectively address the challenges associated with medical emergency distributions. It achieved this by reducing both the time and cost involved compared to the traditional single-vehicle distribution approach.

(2025) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Haidong Huang, Guanxiang Zhang, and Bingning Wang "Optimization analysis of the distribution path for hybrid vehicle-drone emergency medical supplies in the event of natural disaster", Proc. SPIE 13422, Fourth International Conference on Intelligent Traffic Systems and Smart City (ITSSC 2024), 134220Z (20 January 2025); https://doi.org/10.1117/12.3050816

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

;

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE