Traffic flow forecasting is crucial for making appropriate route guidance and vehicle
scheduling schemes in intelligent transportation systems. However, recent graph-based …

Research on travel time prediction shows its importance in the rational planning of travel
arrangements and traffic congestion mitigation. The scale of taxi and online ride-hailing …

To address the current objective of short‐term traffic flow prediction on roads, this paper
aims to predict not only the future traffic flow on roads, but also the average speed of future …

Travel time estimation (TTE) is a critical function in intelligent driving systems. Current
research and applications related to TTE primarily focus on urban environments. The …

Accurate vessel travel time estimation is crucial for optimizing port operations and ensuring
port safety. Existing vessel travel time prediction models primarily rely on path-finding …

To clarify the applications of the sixth-generation (6G) mobile communication technology
and neural networks in the smart public transport system, firstly, this system's overall …

This study utilizes taxi trajectory data to uncover urban residents' travel patterns, offering
critical insights into the spatial and temporal dynamics of urban mobility. A fusion clustering …

In digital twin systems for freeways, it is essential to track individual vehicles. When sensing
devices cannot fully cover an entire road, it is necessary to accurately predict the travel time …

This paper provides a comprehensive exploration of urban travel demand forecasting and its
implications for intelligent transportation systems, emphasizing the crucial role of intelligent …

Nowadays, the overwhelming majority of people choose to go to work during commuting
time, causing great pressure on the traffic system. And methods of effectively predicting the …