Decentralized last-mile delivery and optimization using AI
This article presents an innovative approach to optimizing decentralized delivery routes using artificial intelligence (AI). It demonstrates the integration of real-time weather data into a genetic algorithm for route optimization, providing a practical example of how AI can enhance delivery services. Despite the challenges such as high development costs and natural limitations of AI, the potential benefits of this approach are substantial. The article also discusses future trends, including the increasing availability of real-time data, advances in AI techniques, and potential integration with other technologies like autonomous vehicles.
Authors
- Марія ЮХИМЧУК (ORCID: https://orcid.org/0000-0002-8131-9739)
- Viacheslav Kovtun (ORCID: https://orcid.org/0000-0002-7624-7072)
- Yurii Horchuk
- Yuliia Leshchenko
Institutions
- Vinnytsia National Technical University (UA)
Publication Details
- Published
- 2024-10-11
- DOI
- https://doi.org/10.1109/dessert65323.2024.11122188
- Primary Topic
- Transportation and Mobility Innovations
- Type
- article
- Field-Weighted Citation Impact
- 0.00