Abstract
In this survey, the issues of urban routing are analyzed, and critical considerations for smart and cost-effective delivery services are highlighted. Smart cities require intelligent services and solutions to address their routing issues. This article gives a brief description of current services that either apply classical methods or services that employ machine learning approaches. Furthermore, a comparison of the most promising research options in regard to VRP is provided. Finally, an initial design of a holistic scheme that would optimally combine several tools and approaches to serve the needs of different users with regard to the VRP is presented.
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1 articles.
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1. Variable Neighborhood Search Based on Reinforcement Learning for Green Vehicle Routing Problem;2024 International Conference on Artificial Intelligence in Information and Communication (ICAIIC);2024-02-19