Method and device for updating prediction model for vehicle passenger flow volume
A technology for predicting models and passenger flow, applied in the computer field, can solve problems such as resource waste, congestion, narrow roads and traffic, and achieve the effects of accelerating convergence speed, improving model training efficiency, and reducing computing costs.
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[0026] The solutions provided in this specification will be described below in conjunction with the accompanying drawings.
[0027] figure 1 A specific application scenario of the embodiment of this specification is shown. figure 1 It is a schematic diagram of urban traffic lines. Among them, white lines are used to represent urban roads, dark gray areas are water areas, and light gray areas isolated by white lines are construction areas. It can be understood that the building area may be a residential area, an office area, a life service area (such as a supermarket, etc.) and the like. These areas can be used as the starting point or destination point of urban population flow. In the context of big data and smart terminals, urban population can usually be described by end users. Furthermore, each trip of a user from a starting point to a target point may correspond to a piece of travel data. For a predetermined time period, such as a daytime (such as 6:00 am to 6:00 pm, ...
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