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Road network data processing method, device and equipment

A technology of road network data and processing methods, which is applied in the field of data processing, can solve the problems of road condition prediction model complexity, prediction effect and performance impact, and the inability to guarantee the temporal and spatial correlation of road network roads, so as to improve the prediction effect and performance, The effect of reducing complexity

Pending Publication Date: 2021-07-23
ALIBABA GRP HLDG LTD
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Problems solved by technology

[0004] However, none of these commonly used road network segmentation methods can guarantee the temporal and spatial correlation between the road network roads. There may be many irrelevant (such as non-connected) roads in each sub-road network, or the strongly related The two roads are divided into two sub-road networks, which affects the complexity, prediction effect and performance of the road condition prediction model based on the sub-road network

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  • Road network data processing method, device and equipment
  • Road network data processing method, device and equipment
  • Road network data processing method, device and equipment

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Embodiment Construction

[0072] Aiming at the technical problem that the current road network segmentation method cannot guarantee the correlation between the road network roads and affects the complexity, prediction effect and performance of the road condition prediction model, the embodiment of the present invention provides a road network data processing method and device When segmenting the road network with the equipment, first determine the congestion degree of the road sections in the connected road network according to the historical road condition data of the connected road network, and then determine the congestion weight of the road section according to the congestion degree of the road section; finally, according to the congestion weight of the road section, use the graph The division method divides the connected road network to obtain multiple target sub-road networks. That is, in the embodiment of the present invention, the road network is segmented based on the degree of congestion and c...

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Abstract

The invention provides a road network data processing method, device and equipment, relates to the technical field of data processing, and is used for reducing the complexity of a road condition prediction model and improving the prediction effect and performance. The method comprises the following steps: determining the congestion degree of a road section in a connected road network according to historical road condition data of the connected road network; determining the congestion weight of the road section according to the congestion degree of the road section; and dividing the connected road network by adopting a graph division method according to the congestion weight of the road section to obtain a plurality of target sub-road networks.

Description

technical field [0001] The present invention relates to the technical field of data processing, in particular to a road network data processing method, device and equipment. Background technique [0002] With the development of the city, the scale of the road network is getting larger and larger, the number of vehicles is increasing, and the traffic conditions are becoming more and more complex. On the one hand, effective road condition prediction can help travelers accurately estimate travel time and plan travel routes reasonably; on the other hand, it can guide vehicles to pass and reduce traffic congestion. Therefore, the research on road condition prediction is of great significance. [0003] Since each road in the road network is not independent of each other, its road conditions will be affected by multiple upstream and downstream roads. Therefore, most of the current road condition prediction methods are based on the establishment of road network prediction models ba...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G08G1/01
CPCG08G1/0129G08G1/0137
Inventor 冀晨光谷骞刘凯奎
Owner ALIBABA GRP HLDG LTD
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