Rapid global urbanization has led to a growing urban population, posing challenges in
transportation management. Persistent issues such as traffic congestion, environmental …

Abstract The Macroscopic Fundamental Diagram (MFD) provides a convenient and
computationally efficient tool for urban traffic monitoring and control. However, the accurate …

Traffic flow forecasting on a large-scale sensor network is of great practical significance for
policy decision-making, urban management, and transport planning. Recently, several …

Vehicle re-identification aims to match and identify the same vehicle crossing multiple
surveillance cameras and obtain traffic information such as travel time. The Automatic …

The study of road traffic flow theory utilizes physics and applied mathematics to analyze
relevant parameters and their relationships quanlitatively and quantitatively, in order to …

With the widespread application of intelligent transportation systems and navigation
software, traffic prediction should be modeled in finer granularity to facilitate lane-changing …

Accurate prediction of transient temperature field (TTF) dynamic variation for electric drive
assembly (EDA) can effectively monitor its future abnormal temperature, thereby ensuring …

Lane-level traffic prediction is crucial for refined smart city applications, yet the scarcity and
quality issues of datasets hinder its development. To overcome these challenges, this study …

This paper introduces Multistep-ahead and Interpretable Sequential Modeling Scheme
(MISMS), a pioneering approach for long-term dynamic forecasting that enhances model …

Effective traffic prediction is crucial due to a surge in deliveries by commerce and
urbanization. This has led to a notable rise in traffic within megacities, causing route delays …