As conventional machine learning models often struggle with scarcity and structural
variation of training data, this paper proposes a novel regression transfer learning …

Traffic flow prediction plays a pivotal role in intelligent transportation systems. While
previous efforts have made significant advances in modeling spatio-temporal dependencies …

Surrogate‐based traffic signal optimization (TSO) is a computationally efficient alternative to
simulation‐based TSO. By replacing the simulation‐based objective function, a surrogate …

Traffic speed prediction is an important topic in Intelligent Transport Systems (ITS). Although
traffic speed prediction for real-life applications is burgeoning, the study of explaining and …

Urban transportation systems encounter significant challenges in extracting meaningful
traffic patterns from extensive historical datasets, a critical aspect of smart city initiatives. This …

Traffic speed prediction is an important topic in Intelligent Transport Systems (ITS). Although
traffic speed prediction for real-life applications is burgeoning, the study of explaining and …

The implementation of traffic control strategies relies on real-time perception of traffic
congestion. Although short-term traffic flow prediction can be achieved through exploring the …