Abstract: The present invention discloses an urban traffic velocity estimation method based on multi-source crowd sensing data. This method, based on roadside pedestrian data and road navigation data collected by smart phones, obtains a final estimated velocity through the steps of missing data filling, self-view velocity aggregation and multi-view velocity fusion. This fine-grained large-scale urban traffic velocity estimation method can achieve velocity estimation on all types of roads, including suburban road sections and paths, instead of just focusing on main roads in a city center. According to the present invention, based on data driving, the urban traffic velocity estimation method does not need to install additional devices on roads, and is low in cost and high in universality. Compared with the prior art, the urban traffic velocity estimation method has higher practicability, theoretical property and applicability, and is of great significance for improving traffic management and planning.

Abstract: A power module includes a first shell, a second shell, a circuit board assembly, and a heat dissipation encapsulation. The second shell is closed relative to the first shell and forms an accommodating space together with the first shell. The circuit board assembly is disposed in the accommodating space, and includes a circuit board body, a plurality of power components disposed on the circuit board body, and a plurality of electrical connectors electrically connected to the circuit board body. The electrical connectors are exposed from the first shell. The heat dissipation encapsulation is filled in the accommodating space and covers the circuit board assembly.