In order to evaluate and quantify the interrelationship between the physical properties of the fluid and the flow variables, [4] simulates a two-level cyclone using computational fluid dynamics and ...

This work addresses short-term traffic flow prediction by proposing a big-data-based framework. The proposed framework uses data fusion to deal with heterogeneous data generated from various sources.

Accurately predicting the occurrence, amplitude, and propagation speed of traffic flow shockwaves are essential for dynamic traffic control to mitigate traffic congestion. However, traditional ...