Grants and Contributions:
Title:
Crowdsourcing Framework for Last Mile Delivery By Leveraging Artificial Intelligence and Blockchain
Agreement Number:
952656
Agreement Value:
$145,200.00
Agreement Date:
May 1, 2020 - Apr 30, 2023
Description:
The purpose of the project is to develop an efficient and effective open framework for last-mile delivery (LMD) to reduce cost and optimize the delivery time. The proposed framework will leverage emerging technologies and business models. In particular, it will utilize artificial intelligence (AI), blockchain, and crowdsourcing techniques. The outcome of the project will be an open and extensible framework by design. In particular, the framework will be agnostic towards the operational environment (e.g., city road network, district planning) and carrier resources.
Organization:
National Research Council Canada
Expected Results:
In the short term, anticipated outcomes will be strengthened collaborations across industry, academia, and government to support research excellence. In the medium term, anticipated outcomes will be the development of new and potentially disruptive technologies with collaborators. In the long term, find collaborative solutions to public policy challenges and create stronger innovation systems.
Location:
Victoria, British Columbia, CA V8P 5C2
Reference Number:
172-2020-2021-Q1-952656
Agreement Type:
Grant
Report Type:
Grants and Contributions
Recipient Business Number:
108162470
Recipient Type:
Academia
Recipient's Legal Name:
University of Victoria
Federal Riding Name:
Victoria
Federal Riding Number:
59041
Program:
Collaborative Science, Technology and Innovation Program - Collaborative R&D Initiatives
Program Purpose:
Collaborate on multiparty research and development programs to catalyze transformative, high-risk, high-reward research with the potential for game-changing scientific discoveries and technological breakthroughs in priority areas.
NAICS Code:
541710 - R&D in the physical, engineering and life sciences