Generative design (GD) has gained widespread attention in the built environment domain,
revolutionising traditional methodologies in the field. It operates on a set of rules, utilising …

Multi-step highway traffic flow prediction is crucial for intelligent transportation systems, and
existing works have made significant advancements in this field. However, the physical …

At present, traffic state prediction primarily relies on purely data-driven methods, ignoring the
incorporation of physical constraints within the field of traffic flow. Taking this as a starting …

Reliable and accurate traffic flow prediction is crucial for the construction and operation of
smart highways, supporting scientific traffic management and planning. However, accurately …

Semantic segmentation is an important research topic in the environment perception of
intelligent vehicles. Many semantic segmentation networks based on bilateral architecture …

Accurately predicting the highway traffic speed can reduce traffic accidents and transit time,
and it also provides valuable reference data for traffic control in advance. Three essential …

Vehicle-based traffic speed forecasting aims to predict the average speed of vehicles on the
road in the future, which is an essential side information in intelligent vehicles and beneficial …

Traffic time series prediction is crucial to the development of urban intelligent transportation
systems (ITS). Traditional prediction models are mainly designed to extract the spatio …

Advanced traffic flow management and control systems aimed at continuously monitoring
vehicles are quite popular due to video camera affordability and their wide applicability in …

In the field of intelligent welding, using industrial robots to track complex shaped welds is a
challenging task. When welding complex seams, the welding tools carried by industrial …