Author(s)

Ziwen Fang ¹

Affiliation(s)

¹ Institute of international education, North China Electric Power University, Baoding 071000, China

Corresponding Author

ABSTRACT

Natural disasters can be destructive and cause a wide range of attacks, thus emergent rescue can be crucial. DroneGo disaster response system play an important role in the rescue after disasters. DroneGo fleet is expected to provide both transportation of medical packages and video of damaged and serviceable transportation road networks. We take the hurricane happened in Puerto Rico in 2017 as an example to analyse the DroneGo system. Firstly we develop integer programming model to find the best packing configuration. Then, the selection of locations to position cargo containers can be variant. In order to find the optimal solution, we use level analytical method and develop multiple attribute decision-making  model. Finally, the genetic algorithm plays a vital role in optimization of air routes. In addition, we combine the solution to the packing problem and optimal locations to position cargo containers, thus the packing configuration and flight plans are determined. Schedule can be the summary of the previous questions. We make the table for clear explanation.

KEYWORDS

CITE THIS PAPER

Ziwen Fang. Analysis and Optimization of DroneGo Disaster Response System. Environment, Resource and Ecology Journal (2020) 4: 1-15. DOI: http://dx.doi.org/10.23977/erej.2020.040101.

REFERENCES

[1] Ho Young Jeong, Seokcheon Lee, Byung Duk Song Truck-Drone Hybrid Delivery Routing: Payload-Energy dependency and No-Fly Zones International Journal of Production Economics, 10.1016/j.ijpe.2019.01.010 .
[2] Wikipedia: Genetic Algorithm. 2018.11.26. https://en.wikipedia.org/wiki/Genetic_Algorithm
[3] Wikipedia: Particle Swarm Optimization. 2018.9.15.
https://en.wikipedia.org/wiki/Particle_Swarm_Optimization
[4] ZHANG J N, LIU Y N, WANG G UAV route planning based on PSO algorithm [J]. Transducer and Microsystem Tech- nologies, 1000-9787(2017)03-0058-04
[5] YU H D, WANG C Q, JIA F, LIU Yang, et al. Path Planning for Multiple UAVs  Based on Hybrid Particle Swarm Optimization with Differential Evolution [J]. Electronics Optics& Control , 2018, 25(5): 22-25, 45.
[6] Google:Maps. https:google.cn/maps/place/
[7] CAO L Q, WU L W, Route Planning for drones base on the genetic algorithm [J].Technology Innovation and Application, 2018, 24(5): 24-0027-04.

Sponsors, Associates, and Links

• International Journal of Geological Resources and Geological Engineering
  
  
• Big Geospatial Data and Data Science
  
  
• Solid Earth and Space Physics
  
  
• Environment and Climate Protection
  
  
• Journal of Cartography and Geographic Information Systems
  
  
• Offshore and Polar Engineering
  
  
• Physical and Human Geography
  
  
• Journal of Atmospheric Physics and Atmospheric Environment
  
  
• Trends in Meteorology
  
  
• Journal of Coastal Engineering Research
  
  
• Focus on Plant Protection
  
  
• Toxicology and Health of Environment
  
  
• Geoscience and Remote Sensing
  
  
• Advances in Physical Oceanography
  
  
• Biology, Chemistry, and Geology in Marine
  
  
• Water-Soil, Biological Environment and Energy
  
  
• Geodesy and Geophysics
  
  
• Journal of Structural and Quaternary Geology
  
  
• Journal of Sedimentary Geology
  
  
• International Journal of Polar Social Research and Review