Travel Planning
Travel planning research focuses on developing intelligent systems capable of generating personalized, comprehensive, and rational itineraries, addressing the complexities of real-world constraints. Current efforts leverage large language models (LLMs), often combined with automated planners or formal verification tools, to improve the accuracy and robustness of generated plans, tackling challenges like long-horizon planning and constraint satisfaction. These advancements aim to enhance user experience by automating complex planning tasks and optimizing for various criteria, such as travel time and data transfer needs in the context of autonomous vehicles. The field's progress contributes to both the development of advanced AI planning techniques and the improvement of practical travel applications.