Travel Time Estimation

Travel time estimation (TTE) aims to accurately predict the time required to travel between two points, considering factors like departure time and route. Current research emphasizes improving prediction accuracy and uncertainty quantification using diverse techniques, including deep learning models (e.g., recurrent neural networks, transformers, and graph convolutional networks), hierarchical models to capture inter-trip correlations, and hybrid approaches combining historical and real-time data. Accurate TTE is crucial for optimizing transportation systems, improving navigation applications, and enhancing logistics efficiency, impacting both scientific understanding of traffic dynamics and practical applications in urban planning and mobility services.