Method for predicting arrival time of vehicles, electronic device and storage medium

Abstract

This application relates to the field of vehicle technology, providing a vehicle arrival time prediction method, electronic device, and storage medium. The method includes: acquiring a monitoring image of a target station along a corresponding travel route based on vehicle location information, where the target station is the closest station to the vehicle and the station the vehicle is about to reach; determining the vehicle's arrival information based on the vehicle's travel information, location information, and the monitoring image; if the arrival information indicates the vehicle is entering the target station, determining the next station along the travel route based on the vehicle's travel direction; and predicting the arrival time of the vehicle at the next station based on real-time environmental information from the target station to the next station. This method can accurately determine the vehicle's arrival information.

Claims

1. A method for predicting vehicle arrival time, improved in that the method includes: Based on the vehicle's location information, a monitoring image of the target station on the corresponding driving route is obtained, wherein the target station is the station closest to the vehicle on the driving route and which the vehicle is about to arrive at; the vehicle's arrival information is determined based on the vehicle's driving information, the location information, and the monitoring image. If the arrival information indicates that the vehicle is entering the target station, the next station from the route is determined based on the vehicle's direction of travel; based on the real-time environmental information from the target station to the next station, the arrival time of the vehicle at the next station is predicted.

2. The vehicle arrival time prediction method according to claim 1, wherein, The location information indicates the location of the vehicle. Determining the vehicle's arrival information based on the vehicle's driving information, the location information, and the monitoring image includes: determining the vehicle's operating status based on the driving information; if the distance between the vehicle's location and the target platform is less than a preset distance, and the operating status is a deceleration state or a stationary state, determining the vehicle's arrival information based on the monitoring image.

3. The vehicle arrival time prediction method according to claim 2, wherein, The step of determining the vehicle's entry information based on the monitoring image includes: using a vehicle detection model to detect the monitoring image and obtaining a detection result; if the detection result indicates that the monitoring image includes a vehicle identifier, detecting whether the vehicle identifier matches a preset identifier for the vehicle; if the vehicle identifier matches the preset identifier, determining that the vehicle has entered the target station; if the detection result indicates that the monitoring image does not include the vehicle identifier, or that the vehicle identifier does not match the preset identifier, determining that the vehicle has not entered the target station.

4. The vehicle arrival time prediction method according to claim 1, wherein, The step of determining the next station of the target station from the travel route based on the vehicle's travel direction includes: determining a set of stations located downstream of the target station from the travel route based on the travel direction; and selecting the station closest to the target station from the set of stations as the next station of the target station.

5. The vehicle arrival time prediction method according to claim 1, wherein, The method of predicting the arrival time of a vehicle at the next station based on real-time environmental information from the target station includes: acquiring multiple sample data of the vehicle traveling from the target station to the next station, each sample data including sample environmental information from the target station to the next station and the travel time of the vehicle from the target station to the next station; calculating the similarity between the real-time environmental information and each sample environmental information; selecting target sample data from the multiple sample data based on the similarity; and determining the arrival time based on the travel time in the target sample data and the actual departure time of the vehicle from the target station.

6. The vehicle arrival time prediction method according to claim 5, wherein, If there are multiple target sample data, determining the arrival time based on the travel time in the target sample data and the actual departure time of the vehicle from the target station includes: determining the predicted travel time of the vehicle from the target station to the next station based on the similarity corresponding to each target sample data and the travel time in each target sample data; and calculating the arrival time based on the predicted travel time and the actual departure time.

7. The vehicle arrival time prediction method according to claim 1, wherein, The real-time environmental information includes: road congestion index and weather information from the target station to the next station. Predicting the arrival time of the vehicle at the next station based on the real-time environmental information from the target station to the next station further includes: obtaining a first correction coefficient corresponding to the road congestion index and a second correction coefficient corresponding to the weather information; determining the predicted driving speed of the vehicle from the target station to the next station based on the vehicle's average driving speed over a preset time period, the first correction coefficient, and the second correction coefficient; and determining the arrival time based on the distance between the target station and the next station, the predicted driving speed, and the vehicle's actual departure time from the target station.

8. The vehicle arrival time prediction method according to claim 1, wherein, The method includes: adjusting the vehicle's schedule information based on the number of passengers in the vehicle and the arrival time.

9. An electronic device, improved in that it comprises: A storage device and a processor, wherein the storage device stores a computer program, and the processor executes the computer program to implement the vehicle arrival time prediction method as described in any one of claims 1 to 8.

10. A computer-readable storage medium, improved in that the computer-readable storage medium stores computer-readable instructions, which, when executed by a processor of an electronic device, implement the vehicle arrival time prediction method as described in any one of claims 1 to 8.

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