A great lack of 5G design is the traditional bottom-up development of network evolution,
which has not effectively considered the requirements of applications and, particularly …

Vehicle trajectory data underpins various applications in intelligent transportation systems,
such as traffic surveillance, traffic prediction, and traffic control. Traditional vehicle trajectory …

City-scale traffic data, such as traffic flow, speed, and density on every road segment, are the
foundation of modern urban research. However, accessing such data on a city scale is …

Spatiotemporal data from urban road traffic are pivotal for intelligent transportation systems
and urban planning. Nonetheless, missing data in traffic datasets is a common challenge …

Map matching of trajectory data has wide applications in path planning, traffic flow analysis,
and intelligent driving. The process of map matching involves matching GPS trajectory …

Trip data that records each vehicle's trip activity on the road network describes the operation
of urban traffic from the individual perspective, and it is extremely valuable for transportation …

Sensor and machine learning technologies have improved the perception of traffic systems
by providing detailed data about individual vehicle trajectories. Combining data from …

Travelers may travel to locations they have never visited, which we call potential
destinations of them. Especially under a very limited observation, travelers tend to show …

Signal timing parameters are essential components in traffic signal control (TSC). It affects
not only traffic management, but also traffic safety. However, due to the confidential issues of …

Traffic flow data has been used in various disciplines, including geography, transportation,
17 urban planning, and public health. However, existing datasets often have limitations such …