Drone Delivery Scheduling Optimization Considering Payload-induced Battery Consumption Rates-Reference-Cited by-同舟云学术

Drone Delivery Scheduling Optimization Considering Payload-induced Battery Consumption Rates

Published:2019-05-10 Issue:3-4 Volume:97 Page:471-487
ISSN:0921-0296
Container-title:Journal of Intelligent & Robotic Systems
language:en
Short-container-title:J Intell Robot Syst

Author:

Torabbeigi Maryam,Lim Gino J.^ORCID,Kim Seon Jin

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Industrial and Manufacturing Engineering,Mechanical Engineering,Control and Systems Engineering,Software

Link

http://link.springer.com/content/pdf/10.1007/s10846-019-01034-w.pdf

Reference41 articles.

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3. Mercedes-Benz co., Vans & drones in zurich, (access date: July, 2018). [Online]. Available: https://www.mercedes-benz.com/en/mercedes-benz/vehicles/transporter/vans-drones-in-zurich/

4. McFarland, M.: Ups drivers may tag team deliveries with drones, 2007 (access date: July, 2018). [Online]. Available: http://money.cnn.com/2017/02/21/technology/ups-drone-delivery/index.html

5. DHL, Successful trial integration of dhl parcelcopter into logistics chain, 2016 (access date: July, 2018). [Online]. Available: http://www.dhl.com/en/press/releases/releases_2016/all/parcel_ecommerce/successful_trial_integration_dhl_parcelcopter_logistics_chain.html

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