Navigation route processing method and device, storage medium and electronic equipment

By combining navigation routes with the characteristics of available parking spaces and traffic flow, a predictive model is used to optimize navigation route planning, solving the problem of unreasonable navigation route planning and improving the flexibility and efficiency of navigation routes.

CN117664161BActive Publication Date: 2026-07-21TENCENT TECHNOLOGY (SHENZHEN) CO LTD
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Patent Information

Application Number
CN202211056186.3
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2022-08-31
Publication Date
2026-07-21
Estimated Expiration
2042-08-31

AI Technical Summary

Technical Problem

Existing navigation route planning methods suffer from poor parameter flexibility, resulting in unreasonable navigation routes that cannot adapt to rapidly changing road conditions, thus affecting user travel efficiency.

Method used

By determining the navigation route and parking lots between the navigation start and end points, the available parking space characteristics of each parking lot and the traffic flow status characteristics of each navigation route are obtained. The probability of selecting each parking path is predicted using a target prediction model, and path planning is performed by combining the correlation between traffic flow status and available parking spaces.

Benefits of technology

It improves the flexibility of navigation routes, enables real-time analysis and discovery of traffic flow and parking space change patterns, enhances the rationality of route planning, shortens parking space search time, and improves navigation efficiency.

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Abstract

The application discloses a navigation route processing method and device, a storage medium and an electronic device, and can be applied to the field of maps. The method comprises the following steps: determining a group of navigation routes and a group of parking lots between a navigation starting point and a navigation ending point, obtaining a group of parking paths, each parking path comprising a combination of a navigation route and a parking lot; determining a vacant parking space feature for describing a historical vacant parking space of each parking lot in a target period, the target period being a period from the navigation starting point to the navigation ending point; determining a traffic flow state feature for describing a historical traffic flow state of each navigation route corresponding to the target period; inputting the vacant parking space feature of each parking lot and the traffic flow state feature of each navigation route into a target prediction model to obtain a target parking path, the target prediction model being used for predicting a selection probability of each parking path based on the correlation between the vacant parking space feature of each parking lot and the traffic flow state feature of each navigation route.
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