Traffic information processing method and device

Abstract

The invention relates to the field of artificial intelligence, and provides a traffic information processing method and device, which can provide a more reasonable and reliable traffic control strategy and can improve the traffic service quality. The method comprises the following steps: determining a target traffic model from a plurality of candidate traffic models by adopting historical trafficdata, wherein each candidate traffic model comprises at least one of a driver model, a road propagation model or a road network evaluation model, and the candidate traffic models correspond to historical traffic data, parameters of the target traffic model are adjusted according to the current traffic data, and the parameters of the target traffic model are used for describing the current trafficoperation state; and generating a traffic control strategy based on the adjusted parameters of the target traffic model, the traffic control strategy comprising at least one of driver navigation information, traffic signal control information or road network boundary control information.

Description

technical field [0001] The embodiments of the present application relate to the field of artificial intelligence, and in particular to a traffic information processing method and device. Background technique [0002] At present, traffic information (such as flow, speed, density, etc.) is processed by using traffic models in the traffic field (road basic map model, road network curve model, etc.) to obtain different road units (such as intersections, road sections, or road networks) The processing results of the status of traffic information are used to build road information systems (such as traffic signal control systems, etc.). [0003] Specifically, first determine the preset traffic model corresponding to the road unit, and then use the traffic data reported by vehicle sensors or road sensors to calibrate the parameters of the preset traffic model (that is, determine the relevant parameters of the preset traffic model), for example, road basic The parameters of the grap...

AI Technical Summary

Problems solved by technology

[0004] However, in the above method, the preset traffic model may deviate from the actual situation, resulting in a large deviation in the traffic information processing results, and the road information system constructed thus has poor application effect.

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