CN-116844338-B - Road abnormality early warning method, device, medium and electronic equipment

CN116844338BCN 116844338 BCN116844338 BCN 116844338BCN-116844338-B

Abstract

The application discloses a road abnormality early warning method, a device, a medium and electronic equipment, which relate to the technical field of Internet of vehicles, wherein the vehicle-mounted equipment in the method can detect the abnormality type, the abnormality influence range and the abnormality persistence information of the road abnormality on the road on which a vehicle runs; the method comprises the steps of calculating according to the abnormality type, the abnormality influence range and the abnormality persistence information to obtain an abnormality severity index, responding to the detection of the abnormality of the road, generating abnormality early warning information corresponding to the abnormality of the road, detecting road side equipment, judging whether to report the abnormality early warning information to the detected road side equipment according to the abnormality severity index, and if so, reporting the abnormality early warning information to the road side equipment. The application can effectively improve the road early warning reliability in the road cooperative road early warning scene and effectively reduce the road cooperative work load of the vehicle-mounted equipment and the road side equipment.

Inventors

HAO RUI
GUO CHAO
NIE MOURONG

Assignees

驭新智行科技(宁波)有限公司

Dates

Publication Date: 20260512
Application Date: 20230731

Claims (9)

1. A road anomaly early warning method, characterized by being applied to a vehicle-mounted device, the method comprising: Detecting abnormality type, abnormality influence range and abnormality persistence information of a road abnormality on a road on which a vehicle is traveling; Calculating according to the abnormality type, the abnormality influence range and the abnormality persistence information to obtain an abnormality severity index; generating abnormality early warning information corresponding to the road abnormality in response to detecting the road abnormality, and detecting a road side device; Judging whether to report the abnormality early warning information to the detected road side equipment according to the abnormality severity index; If yes, reporting the abnormal early warning information to the road side equipment; The calculating according to the abnormality type, the abnormality influence range and the abnormality persistence information to obtain an abnormality severity index includes: Determining an adjustment coefficient according to the current time period, road section and weather of the vehicle; Mapping the anomaly type, the anomaly impact range and the anomaly persistence information into second anomaly scores respectively; And calculating a weighted sum of the abnormality type, the abnormality influence range and a second abnormality score corresponding to the abnormality persistence information based on the adjustment coefficient to obtain the abnormality severity index.
2. The method of claim 1, wherein the determining whether to report the anomaly early warning information to the detected roadside device according to the anomaly severity index comprises: Continuously detecting the road abnormality and determining the detection accuracy of the road abnormality in the running process of the vehicle; And judging whether to report the abnormality early warning information to the detected road side equipment according to the abnormality severity index and the detection accuracy.
3. The method according to claim 1, wherein the generating the abnormality pre-warning information corresponding to the road abnormality includes: Obtaining abnormal description information of the road abnormality, wherein the abnormal description information comprises abnormal basic information and abnormal additional information, the abnormal basic information at least comprises an abnormal position and an abnormal type, and the abnormal additional information comprises at least one of an abnormal severity index and detection accuracy; detecting abnormality avoidance processing information of the vehicle for the road abnormality; and generating abnormality early warning information comprising the abnormality description information and the abnormality avoidance processing information.
4. A road anomaly early warning method, characterized by being applied to road side equipment, the method comprising: The method comprises the steps of receiving abnormality early warning information reported by vehicle-mounted equipment, wherein the abnormality early warning information is reported by the vehicle-mounted equipment according to an abnormality severity index, and the abnormality severity index is calculated according to an abnormality type, an abnormality influence range and abnormality persistence information of a road abnormality; the calculation mode of the abnormality severity index comprises the steps of determining an adjustment coefficient according to a current time period, a current road section and a current weather of a vehicle, mapping the abnormality type, the abnormality influence range and the abnormality persistence information into second abnormality scores respectively, and calculating a weighted sum of the second abnormality scores corresponding to the abnormality type, the abnormality influence range and the abnormality persistence information based on the adjustment coefficient to obtain the abnormality severity index; Generating abnormal sharing information according to the abnormal early warning information; And carrying out road sharing on the abnormal sharing information.
5. The method of claim 4, wherein the sharing the abnormal sharing information comprises: Detecting road side equipment to be confirmed from other road side equipment connected with the road side equipment aiming at the road abnormality indicated in the abnormality early warning information, wherein the road side equipment to be confirmed is the other road side equipment with potential of encountering the road abnormality for vehicles in a coverage area; Acquiring lane steering conditions, abnormal relative positions of roads and traffic flow corresponding to lanes in the coverage area of the road side equipment to be confirmed; Analyzing according to the lane steering condition and the abnormal relative position of the road to obtain the passing probability of vehicles entering the road in the lane; calculating according to the passing probability and the traffic flow to obtain an association index of the road side equipment to be confirmed and the road abnormality; according to the association index, confirming whether the road side equipment to be confirmed is affected road side equipment, wherein the affected road side equipment refers to other road side equipment affected by the road abnormality in the other road side equipment; and sending the abnormal sharing information to the affected road side equipment.
6. The method of claim 4, wherein the sharing the abnormal sharing information comprises: Detecting an abnormal notification condition of the road abnormality to obtain notification condition information of the road abnormality by the road side equipment; broadcasting the abnormal sharing information to vehicles located in the coverage range of the road side equipment according to the notification condition information; The method comprises the steps of detecting the abnormal notification condition of the road abnormality to obtain notification condition information of the road abnormality of the road side equipment, wherein the notification condition information comprises one or more of position verification information, accuracy verification information and broadcast processing information, and the notification condition information comprises one or more of the following modes: Detecting whether the road abnormality is located in the coverage area of the road side equipment according to the abnormality early warning information to obtain position verification information; Performing secondary detection on the road abnormality through road abnormality detection equipment to obtain accuracy verification information of the road abnormality; and analyzing the broadcasting range and the broadcasting duration of the road abnormality according to the abnormality early warning information to obtain broadcasting processing information.
7. A road abnormality warning apparatus, characterized by being applied to a vehicle-mounted device, comprising: The detection module is used for detecting the abnormal type, the abnormal influence range and the abnormal persistence information of the road abnormality on the road on which the vehicle runs; The calculation module is used for calculating according to the abnormality type, the abnormality influence range and the abnormality persistence information to obtain an abnormality severity index, and calculating according to the abnormality type, the abnormality influence range and the abnormality persistence information to obtain an abnormality severity index, wherein the abnormality severity index comprises the steps of determining an adjustment coefficient according to a current time period, a current road section and a current weather of the vehicle, mapping the abnormality type, the abnormality influence range and the abnormality persistence information into second abnormality scores respectively, and calculating a weighted sum of the second abnormality scores corresponding to the abnormality type, the abnormality influence range and the abnormality persistence information based on the adjustment coefficient to obtain the abnormality severity index; the preparation module is used for responding to detection of the road abnormality, generating abnormality early warning information corresponding to the road abnormality and detecting road side equipment; the determining module is used for judging whether to report the abnormality early warning information to the detected road side equipment according to the abnormality severity index; And the reporting module is used for reporting the abnormal early warning information to the road side equipment if the abnormal early warning information is received.
8. A storage medium having stored thereon a computer program which, when executed by a processor of a computer, causes the computer to perform the method of any one of claims 1 to 3 or any one of claims 4 to 6.
9. An electronic device comprising a memory storing a computer program, and a processor reading the computer program stored in the memory to perform the method of any one of claims 1 to 3 or any one of claims 4-6.

Description

Road abnormality early warning method, device, medium and electronic equipment Technical Field The application relates to the technical field of Internet of vehicles, in particular to a road abnormality early warning method, a road abnormality early warning device, a road abnormality early warning medium and electronic equipment. Background In the current sensing data sharing scene of the internet of vehicles, a scheme exists that vehicles and road side equipment at the road side perform road abnormality early warning through road cooperation. Under the current scheme, in the related art, after road abnormality is detected on a vehicle, road abnormality information is directly shared to road side equipment for early warning, under the current mode, the road abnormality information is directly shared to the road side equipment, various invalid early warning is caused under the condition that the severity degree of the road abnormality is low, the problem that the abnormality early warning is unreliable exists, and because the road is large in collaboration with various information amounts, the workload of vehicle-mounted equipment and the road side equipment can be increased meaninglessly due to the fact that the road abnormality information is directly shared. Therefore, in the current road early warning mode, the problems of lower reliability of the road early warning of the vehicle-road cooperation and higher workload of the vehicle-mounted equipment and the road side equipment exist. Disclosure of Invention The scheme provided by the embodiment of the application can effectively improve the road early warning reliability under the road cooperative road early warning scene and effectively reduce the vehicle-road cooperative work load of the vehicle-mounted equipment and the road side equipment. The embodiment of the application provides the following technical scheme: According to one embodiment of the application, the road abnormality early warning method is applied to vehicle-mounted equipment and comprises the steps of detecting abnormality type, abnormality influence range and abnormality persistence information of a road abnormality on a road on which a vehicle runs, calculating according to the abnormality type, the abnormality influence range and the abnormality persistence information to obtain an abnormality severity index, generating abnormality early warning information corresponding to the road abnormality in response to the detection of the road abnormality, detecting road side equipment, judging whether to report the abnormality early warning information to the detected road side equipment according to the abnormality severity index, and if yes, reporting the abnormality early warning information to the road side equipment. In some embodiments of the present application, the determining whether to report the abnormality early warning information to the detected roadside device according to the abnormality severity index includes continuously detecting the road abnormality and determining detection accuracy of the road abnormality during the driving of the vehicle, and determining whether to report the abnormality early warning information to the roadside device according to the abnormality severity index and the detection accuracy. In some embodiments of the present application, the calculating according to the anomaly type, the anomaly influence range and the anomaly persistence information to obtain an anomaly severity index includes determining an adjustment coefficient according to a current time period, a current road section and a current weather of the vehicle, mapping the anomaly type, the anomaly influence range and the anomaly persistence information to second anomaly scores respectively, and calculating a weighted sum of the second anomaly scores corresponding to the anomaly type, the anomaly influence range and the anomaly persistence information based on the adjustment coefficient to obtain the anomaly severity index. In some embodiments of the application, the generating of the abnormality pre-warning information corresponding to the road abnormality comprises obtaining abnormality description information of the road abnormality, wherein the abnormality description information comprises abnormality basic information and abnormality additional information, the abnormality basic information at least comprises an abnormality position and an abnormality type, the abnormality additional information comprises at least one of an abnormality severity index and detection accuracy, detecting abnormality avoidance processing information of the vehicle for the road abnormality, and generating the abnormality pre-warning information comprising the abnormality description information and the abnormality avoidance processing information. According to one embodiment of the application, the road abnormality early warning device is applied to vehicle-mounted equipment and comprises a detection m