Route Recommendation

Route recommendation research aims to optimize travel routes, considering factors like time, distance, user preferences, and real-time disruptions. Current efforts focus on personalization using user data and machine learning models (e.g., deep learning architectures, nature-inspired algorithms), as well as incorporating large language models for more flexible and adaptable route planning, especially in handling unexpected events. This field significantly impacts intelligent transportation systems, improving efficiency in various applications such as urban planning, logistics, and emergency response, while also offering insights into human behavior and decision-making in navigation.