Exploring Mixed-Grid Environments for Drone-Based Last-Mile Logistics Optimization
Author:
Affiliation:
1. University of Perugia,Dept. of Computer Science and Mathematics,Italy
2. University of Padua,Dept. of Mathematics,Italy
3. Roanoke College,Dept. of Math., CS, & Physics
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10298257/10298281/10298455.pdf?arnumber=10298455
Reference9 articles.
1. On the evaluation of a drone-based delivery system on a mixed euclidean-manhattan grid;sorbelli;IEEE Transactions on Intelligent Transportation Systems,2022
2. Dispatching point selection for a drone-based delivery system operating in a mixed Euclidean–Manhattan grid
3. Neighborhood-Specific Traffic Impact Analysis of Restaurant Meal Delivery Trips: Planning Implications and Case Studies in Chicago
4. Distance metrics matter: analysing optimisation algorithms for the last mile problem;brown;International Journal of Logistics Systems management,2021
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