Optimization Model and Algorithms of Vehicle Scheduling
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: closed (10 October 2024) | Viewed by 8183
Special Issue Editor
Special Issue Information
Dear Colleagues,
Today, although information can travel fast at a low cost, the transportation of freight or other physical objects via various types of vehicles largely relies on traditional forms, and, possibly, we will continue to use them until there are further advancements in additive manufacturing or other point-of-use production technologies. While the scale of distribution and transportation has become larger due to the globalization of social and economic systems, people need such advanced information technology services more frequently, such as e-commerce. Additionally, global disasters, such as the COVID-19 pandemic, can restrict people’s mobility while requiring quick access to personal protective equipment (PPE) and other daily necessities.
The efficient planning of vehicle routing not only improves the efficiency of a system, but also reduces natural resource consumption and protects the environment. Although algorithmic studies play a central role in vehicle routing and scheduling, modern technology provides us with new tools, such as big computation power, artificial intelligence (AI), machine learning (ML), big data, sensor technology, auto navigation, and drones.
This Special Issue aims to collect advanced research on VRP to provide an update on the state-of-the-art studies being carried out and to provide directions for future research. We invite original research papers on VRP related to these topics: algorithmic modeling, real-time control, AI/ML/big data, energy, the environment, disasters, and new application areas.
Dr. Jaejin Jang
Guest Editor
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Keywords
- supply chain
- vehicle routing
- algorithmic study
- uncertainty
- AI and sensor application
- environment
- disaster
- new application
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