CN111583632A - Vehicle driving risk coping method and device - Google Patents
Vehicle driving risk coping method and device Download PDFInfo
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- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
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Abstract
The embodiment of the application provides a vehicle driving risk coping method and device. The method comprises the following steps: acquiring a plurality of driving risk coping schemes of a vehicle according to historical traffic accident data of a target road section, monitoring equipment on the vehicle of the target road section and the monitoring level of the monitoring equipment; predicting the traffic accident rates of the vehicle in the plurality of driving risk coping schemes according to the historical traffic accident data to obtain a plurality of predicted traffic accident rates of the vehicle; and determining a driving risk coping scheme of the vehicle on the target road section according to the plurality of predicted traffic accident rates. According to the technical scheme, the accuracy of the vehicle driving risk selection coping scheme is improved, the safety of vehicle driving is further improved, and traffic accidents are reduced.
Description
Technical Field
The application relates to the technical field of vehicle networking, in particular to a vehicle driving risk coping method and device.
Background
In the field of car networking, how to deal with driving risks of vehicles is a key problem that safety auxiliary driving needs to face, the current vehicle handling driving risks are that vehicles start all safety monitoring devices, and if the safety monitoring devices have a plurality of safety protection levels, the highest protection level is generally selected.
However, turning on all the safety monitoring devices of the vehicle cannot lead to the lowest predicted traffic accident rate, because turning on the safety monitoring devices inevitably brings negative effects, for example, frequent alarming in a scene which is not particularly dangerous may affect normal driving of a driver, which is not beneficial to driving, and in addition, the vehicle turns on all the safety monitoring devices one by one, instead of selectively turning on the safety monitoring devices according to the actual conditions of the current road, which is not beneficial to coping with actual driving risks.
Disclosure of Invention
The embodiment of the application provides a vehicle driving risk coping method and device, so that the accuracy of selecting a driving risk coping scheme by a vehicle can be improved at least to a certain extent, the driving safety of the vehicle is improved, and traffic accidents are reduced.
Other features and advantages of the present application will be apparent from the following detailed description, or may be learned by practice of the application.
According to an aspect of an embodiment of the present application, there is provided a vehicle driving risk coping method, including: acquiring a plurality of driving risk coping schemes of a vehicle according to historical traffic accident data of a target road section, monitoring equipment on the vehicle of the target road section and the monitoring level of the monitoring equipment; predicting the traffic accident rates of the vehicle in the plurality of driving risk coping schemes according to the historical traffic accident data to obtain a plurality of predicted traffic accident rates of the vehicle; and determining a driving risk coping scheme of the vehicle on the target road section according to the plurality of predicted traffic accident rates.
According to an aspect of an embodiment of the present application, there is provided a vehicle driving risk coping apparatus including: the system comprises an acquisition unit, a display unit and a processing unit, wherein the acquisition unit is configured to acquire a plurality of driving risk coping schemes of a vehicle according to historical traffic accident data of a target road section, monitoring equipment on the vehicle on the target road section and monitoring levels of the monitoring equipment; the prediction unit is configured to predict the traffic accident rates of the vehicle in the plurality of driving risk coping schemes according to the historical traffic accident data, and obtain a plurality of predicted traffic accident rates of the vehicle; a determination unit configured to determine a driving risk coping scheme of the vehicle on the target road segment according to the plurality of predicted traffic accident rates.
In some embodiments of the present application, based on the foregoing scheme, the determining unit is configured to: and taking the driving risk coping scheme corresponding to the minimum predicted traffic accident rate in the plurality of predicted traffic accident rates as the driving risk coping scheme of the vehicle on the target road section.
In some embodiments of the present application, based on the foregoing scheme, the determining unit is further configured to: and if the minimum predicted traffic accident rate contains a plurality of minimum predicted traffic accident rates, determining a driving risk coping scheme of the vehicle on the target road section according to the number of monitoring devices in the driving risk coping schemes respectively corresponding to the minimum predicted traffic accident rates.
In some embodiments of the present application, based on the foregoing scheme, the determining unit is further configured to: and taking the driving risk coping scheme corresponding to the maximum monitoring equipment number in the driving risk coping schemes respectively corresponding to the minimum predicted traffic accident rates as the driving risk coping scheme of the vehicle on the target road section.
In some embodiments of the present application, based on the foregoing scheme, the determining unit is further configured to: and if the maximum monitoring equipment number comprises a plurality of monitoring levels, determining the driving risk coping scheme of the vehicle on the target road section according to the monitoring levels in the driving risk coping schemes respectively corresponding to the maximum monitoring equipment numbers.
In some embodiments of the present application, based on the foregoing scheme, the determining unit includes: the weighted summation subunit is configured to perform weighted summation on the monitoring levels in the driving risk corresponding schemes corresponding to the plurality of maximum monitoring equipment numbers respectively to obtain weighted values corresponding to the monitoring levels in the driving risk corresponding schemes corresponding to the plurality of maximum monitoring equipment numbers respectively; and the determining subunit is configured to use the driving risk handling scheme corresponding to the maximum weighted value in the weighted values corresponding to the monitoring levels in the driving risk handling schemes corresponding to the plurality of maximum monitoring device numbers as the driving risk handling scheme of the vehicle on the target road section.
In some embodiments of the present application, based on the foregoing scheme, the determining subunit is further configured to: and if the maximum weighted value comprises a plurality of maximum weighted values, selecting one driving risk coping scheme from the driving risk coping schemes respectively corresponding to the plurality of maximum weighted values as the driving risk coping scheme of the vehicle on the target road section.
In some embodiments of the present application, based on the foregoing scheme, the weighted sum subunit is configured to: acquiring the attention degree of the potential hazards of the traffic accidents monitored by the monitoring equipment on the vehicle; taking the degree of importance as a weight factor of the monitoring level of the monitoring equipment; and according to the weight factors, carrying out weighted summation on the monitoring levels in the driving risk corresponding schemes corresponding to the maximum monitoring equipment numbers respectively to obtain weighted values corresponding to the monitoring levels in the driving risk corresponding schemes corresponding to the maximum monitoring equipment numbers respectively.
In some embodiments of the present application, based on the foregoing scheme, the weighted sum subunit is further configured to: according to the historical traffic accident data of the target road section, the traffic accident rate caused by the traffic accident hidden danger monitored by the monitoring equipment on the vehicle is counted; and taking the traffic accident rate caused by the traffic accident hidden danger monitored by the monitoring equipment on the vehicle as the attention degree of the traffic accident hidden danger monitored by the monitoring equipment on the vehicle.
According to the technical scheme provided by some embodiments of the application, a plurality of driving risk coping schemes of the vehicle are obtained through historical traffic accident data of the target road section, monitoring equipment on the vehicle and monitoring levels of the monitoring equipment, the traffic accident rates of the vehicle corresponding to the driving risk coping schemes respectively are predicted, and a plurality of predicted traffic accident rates of the vehicle on the target road section are obtained, so that the vehicle can select the driving risk coping schemes on the target road section according to the predicted traffic accident rates.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the application.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and together with the description, serve to explain the principles of the application. It is obvious that the drawings in the following description are only some embodiments of the application, and that for a person skilled in the art, other drawings can be derived from them without inventive effort. In the drawings:
FIG. 1 is a diagram illustrating an exemplary system architecture to which aspects of embodiments of the present application may be applied;
FIG. 2 shows a flow chart of a vehicle driving risk coping method according to an embodiment of the present application;
FIG. 3 shows a flow chart of a vehicle driving risk coping method according to an embodiment of the present application;
FIG. 4 shows a flow chart of a vehicle driving risk coping method according to an embodiment of the present application;
FIG. 5 shows a flow chart of a vehicle driving risk coping method according to an embodiment of the present application;
fig. 6 shows a block diagram of a vehicle driving risk coping device according to an embodiment of the present application;
FIG. 7 illustrates a schematic structural diagram of a computer system suitable for use in implementing the electronic device of an embodiment of the present application.
Detailed Description
Example embodiments will now be described more fully with reference to the accompanying drawings. Example embodiments may, however, be embodied in many different forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of example embodiments to those skilled in the art.
Furthermore, the described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. In the following description, numerous specific details are provided to give a thorough understanding of embodiments of the application. One skilled in the relevant art will recognize, however, that the subject matter of the present application can be practiced without one or more of the specific details, or with other methods, components, devices, steps, and so forth. In other instances, well-known methods, devices, implementations, or operations have not been shown or described in detail to avoid obscuring aspects of the application.
The block diagrams shown in the figures are functional entities only and do not necessarily correspond to physically separate entities. I.e. these functional entities may be implemented in the form of software, or in one or more hardware modules or integrated circuits, or in different networks and/or processor means and/or microcontroller means.
The flow charts shown in the drawings are merely illustrative and do not necessarily include all of the contents and operations/steps, nor do they necessarily have to be performed in the order described. For example, some operations/steps may be decomposed, and some operations/steps may be combined or partially combined, so that the actual execution sequence may be changed according to the actual situation.
Fig. 1 shows a schematic diagram of an exemplary system architecture to which the technical solution of the embodiments of the present application can be applied.
As shown in fig. 1, the system architecture 100 may include a plurality of vehicles 101 and a server 102, where the vehicle 101 may be a vehicle in a vehicle networking, the server 102 may be a vehicle networking cloud server for performing data interaction with vehicles in a vehicle networking, and the vehicle 101 and the server 102 are connected through a network.
The network as previously described is a medium to provide communication links and may include, but is not limited to: a wireless network, a wired network, including but not limited to at least one of: wide area networks, metropolitan area networks, and local area networks. The wireless network includes, but is not limited to, at least one of: bluetooth, WI-FI, Near Field Communication (NFC for short).
The vehicle 101 interacts with the server 102 through the network to receive or send messages and the like, and when the vehicle 101 is in the target road section, historical traffic accident data of the target road section can be acquired from the server 102; obtaining a plurality of driving risk coping schemes of the vehicle 101 on the target road section according to the acquired historical traffic accident data of the target road section, the monitoring equipment on the vehicle 101 and the monitoring level of the monitoring equipment; then, according to the historical traffic accident data of the target road section, the traffic accident rates of the vehicles corresponding to the multiple driving risk coping schemes are predicted respectively, and the multiple predicted traffic accident rates of the vehicles 101 are obtained, so that the vehicles 101 can determine the driving risk coping schemes of the vehicles 101 on the target road section according to the multiple predicted traffic accident rates.
It should be understood that the number of vehicles 101 and servers 102 in fig. 1 is merely illustrative. There may be any number of vehicles 101 and servers 102, as desired for implementation. For example, the server 102 may be a server cluster composed of a plurality of servers, and the like.
It should be noted that the vehicle driving risk coping method provided in the embodiment of the present application is generally executed by the vehicle 101, and accordingly, the vehicle driving risk coping device is generally provided in the vehicle 101. However, in other embodiments of the present application, the server 102 may also have a similar function as the vehicle 101, so as to execute the solution for handling the driving risk of the vehicle provided by the embodiments of the present application.
The implementation details of the technical solution of the embodiment of the present application are set forth in detail below:
fig. 2 shows a flow chart of a vehicle driving risk coping method according to an embodiment of the present application, which may be performed by a vehicle 101, which may be the vehicle 101 shown in fig. 1, with reference to fig. 2, the method comprising:
step S210, acquiring a plurality of driving risk coping schemes of a vehicle according to historical traffic accident data of a target road section, monitoring equipment on the vehicle on the target road section and the monitoring level of the monitoring equipment;
step S220, according to the historical traffic accident data, predicting the traffic accident rates of the vehicle corresponding to the driving risk coping schemes respectively to obtain a plurality of predicted traffic accident rates of the vehicle;
and step S230, determining a driving risk coping scheme of the vehicle on the target road section according to the plurality of predicted traffic accident rates.
These steps are described in detail below.
In step S210, a plurality of driving risk coping schemes of a vehicle on a target road section are acquired according to historical traffic accident data of the target road section, monitoring equipment on the vehicle on the target road section and a monitoring level of the monitoring equipment.
The monitoring device on the vehicle is a device for monitoring the vehicle, and for example, the monitoring device may be a tire pressure sensor, an oil leakage monitoring device, a road visibility monitoring device, or the like. In addition, each monitoring device has one or more monitoring levels, the higher the level, the better the monitoring protection characteristic, for example, the tire pressure sensor has three levels when monitoring the tire pressure, the first level is the alarm of the increase of the tire pressure by 50%, the second level is the alarm of the increase of the tire pressure by 30%, and the third level is the alarm of the increase of the tire pressure by 10%.
After the vehicle enters the target road segment, historical traffic accident data of the target road segment, that is, data related to traffic accidents occurring on the target road segment, such as the number of traffic accidents, the types of traffic accidents, the occurrence reasons of the traffic accidents, and the like, can be obtained from a database of a traffic management department.
The driving risk coping scheme of the vehicle may be a scheme formed by turning on monitoring devices on the vehicle and turning on corresponding levels of the corresponding monitoring devices to cope with the driving risk. For example, there are two monitoring devices on a vehicle: device a and device B, each with two monitoring levels, the driving risk coping scheme for the vehicle may then include: driving risk coping scheme 1 (equipment a is turned on and the monitoring level thereof is one level), driving risk coping scheme 2 (equipment a is turned on and the monitoring level thereof is two levels), driving risk coping scheme 3 (equipment B is turned on and the monitoring level thereof is one level), driving risk coping scheme 4 (equipment B is turned on and the monitoring level thereof is two levels), driving risk coping scheme 5 (two equipment are turned on simultaneously, equipment a and equipment B are both one levels), driving risk coping scheme 6 (two equipment are turned on simultaneously, equipment a is one level, equipment B is two levels), driving risk coping scheme 7 (two equipment are turned on simultaneously, equipment a is two levels, equipment B is one level); driving risk coping scenario 8 (two devices are turned on simultaneously, device a and device B are both secondary).
Further, it should be noted that the determination of the driving risk handling scheme of the vehicle according to the monitoring device on the vehicle and the monitoring level of the monitoring device may be regarded as a theoretical driving risk handling scheme, however, the theoretical driving risk handling scheme is not necessarily a scheme actually adopted by the vehicle, and therefore, the theoretical driving risk handling scheme may be further adjusted according to the historical traffic accident data of the target road segment, and finally, a plurality of driving risk handling schemes of the vehicle are obtained.
Continuing the above example, if the traffic accident rate of the vehicle in the driving risk coping scheme 3, the driving risk coping scheme 4, the driving risk coping scheme 5, the driving risk coping scheme 6, the driving risk coping scheme 7, and the driving risk coping scheme 8 can be predicted based on the historical traffic accident data, and the traffic accident rate of the vehicle in which two devices are simultaneously turned on and the device B is primary can also be predicted, the traffic accident rate of the vehicle in which two devices are simultaneously turned on and the device B is secondary can be predicted, and the traffic accident rate of the vehicle in the driving risk coping scheme 1 and the driving risk coping scheme 2 cannot be predicted, so that the driving risk coping scheme can be adjusted, and the resulting driving risk coping scheme of the vehicle includes: driving risk coping scheme 3, driving risk coping scheme 4, driving risk coping scheme 5, driving risk coping scheme 6, driving risk coping scheme 7, driving risk coping scheme 8, driving risk coping scheme 9 (two devices are turned on at the same time and device B is the primary), driving risk coping scheme 10 (two devices are turned on at the same time and device B is the secondary).
Step S220, according to the historical traffic accident data, traffic accident rates of the vehicle corresponding to the multiple driving risk coping schemes are predicted, and multiple predicted traffic accident rates of the vehicle are obtained.
The historical traffic accident data generally records the type and the cause of the historical traffic accident, such as tire burst, oil leakage, too short vehicle sight distance, slippery road surface and the like, and also records whether the accident vehicle starts the monitoring equipment and the monitoring level of the starting of the monitoring equipment, so that the corresponding traffic accident rate of the vehicle in a certain driving risk coping scheme can be obtained by the ratio of the number of the traffic accidents in the certain driving risk coping scheme of the target road section to the total historical number of the traffic accidents of the target road section.
For example, if 100 total accidents occur on the target road segment according to the historical traffic accident data, wherein 20 accidents occur when the primary oil leakage monitoring device is turned on by the offending vehicle, the traffic accident rate corresponding to the driving risk coping scheme that the primary oil leakage monitoring device is turned on by the vehicle on the target road segment can be predicted to be 20/100-20%.
And step S230, determining a driving risk coping scheme of the vehicle on the target road section according to the plurality of predicted traffic accident rates.
After the plurality of predicted traffic accident rates are obtained through step S220, a driving risk coping scheme of the vehicle on the target road segment may be determined by comparing the plurality of predicted traffic accident rates.
According to the technical scheme provided by the embodiment, the multiple driving risk coping schemes of the vehicle are obtained according to the historical traffic accident data of the target road section, the traffic accident rates of the vehicle in the multiple driving risk coping schemes are predicted respectively, and the multiple predicted traffic accident rates of the vehicle in the target road section are obtained, so that the driving risk coping scheme of the vehicle in the target road section is selected according to the predicted traffic accident rates, the driving risk coping schemes of the vehicle are selected according to the actual road section conditions, the accuracy of the driving risk coping scheme selected by the vehicle is improved, the driving safety of the vehicle is improved, and the occurrence of traffic accidents is reduced.
In one embodiment of the present application, the manner of determining the driving risk handling scheme of the vehicle on the target road segment according to the plurality of predicted traffic accident rates may include:
and taking the driving risk coping scheme corresponding to the minimum predicted traffic accident rate in the plurality of predicted traffic accident rates as the driving risk coping scheme of the vehicle on the target road section.
It is easily understood that the minimum predicted traffic accident rate indicates that the probability of a traffic accident occurring on the target road segment by the vehicle is minimum, and therefore, in order to control the driving risk of the vehicle, the driving risk coping scheme corresponding to the minimum predicted traffic accident rate may be used as the driving risk coping scheme of the vehicle on the target road segment.
For example, if the traffic accident rates corresponding to the five driving risk handling schemes of the vehicle are predicted through step S220, respectively: the predicted traffic accident rate of the vehicle in the driving risk coping plan 1 is 10%, the predicted traffic accident rate of the vehicle in the driving risk coping plan 2 is 10%, the predicted traffic accident rate of the vehicle in the driving risk coping plan 3 is 30%, the predicted traffic accident rate of the vehicle in the driving risk coping plan 4 is 40%, and the predicted traffic accident rate in the vehicle driving risk coping plan 5 is 50%, wherein the predicted traffic accident rate of the vehicle in the driving risk coping plan 1 is the smallest, and therefore, the driving risk coping plan 1 can be taken as the driving risk coping plan of the vehicle in the target road section.
It should be noted that a plurality of minimum predicted traffic accident rates may occur, and therefore, when a plurality of minimum predicted traffic accident rates are included, a driving risk coping scheme of the vehicle on the target road section needs to be further determined according to the plurality of minimum predicted traffic accident rates.
In one embodiment of the present application, when the minimum predicted traffic accident rate includes a plurality, the method further comprises:
and if the minimum predicted traffic accident rates comprise a plurality of minimum predicted traffic accident rates, determining a driving risk coping scheme of the vehicle on the target road section according to the number of monitoring devices in the driving risk coping schemes respectively corresponding to the minimum predicted traffic accident rates.
In this embodiment, when the minimum predicted traffic accident rate is not more than one, but includes a plurality of minimum predicted traffic accident rates, the driving risk coping scheme of the vehicle on the target road segment may be further determined according to the number of monitoring devices in the driving risk coping scheme corresponding to each of the plurality of minimum predicted traffic accident rates.
For example, the traffic accident rates corresponding to the five driving risk handling schemes of the vehicle are predicted in step S220, and are respectively: the predicted traffic accident rate of the vehicle in the driving risk coping scheme 1 is 10%, the predicted traffic accident rate of the vehicle in the driving risk coping scheme 2 is 10%, the predicted traffic accident rate of the vehicle in the driving risk coping scheme 3 is 30%, the predicted traffic accident rate of the vehicle in the driving risk coping scheme 4 is 40%, and the predicted traffic accident rate in the vehicle driving risk coping scheme 5 is 50%, and it can be seen that the traffic accident rate of the vehicle in the driving risk coping scheme 1 and the traffic accident rate of the vehicle in the driving risk coping scheme 2 are both the minimum predicted traffic accident rate, and therefore, the determination can be further made according to the number of monitoring devices in the driving risk coping scheme 1 and the driving risk coping scheme 2 corresponding to the minimum predicted traffic accident rate.
Optionally, according to the number of the monitoring devices, the manner of determining the driving risk coping scheme of the vehicle on the target road section may be that any driving risk coping scheme corresponding to the number of the monitoring devices larger than the preset threshold is used as the driving risk coping scheme of the vehicle on the target road section, or the driving risk coping scheme corresponding to the maximum number of the monitoring devices is used as the driving risk coping scheme of the vehicle on the target road section.
In one embodiment, the determining the driving risk coping scheme of the vehicle on the target road segment according to the number of monitoring devices in the driving risk coping schemes respectively corresponding to the plurality of minimum predicted traffic accident rates includes:
and taking the driving risk coping scheme corresponding to the maximum monitoring equipment number in the driving risk coping schemes respectively corresponding to the minimum predicted traffic accident rates as the driving risk coping scheme of the vehicle on the target road section.
In this embodiment, when the minimum predicted traffic accident rate includes a plurality of minimum predicted traffic accident rates, the driving risk coping scheme corresponding to the maximum number of monitoring devices in the driving risk coping schemes corresponding to the plurality of minimum predicted traffic accident rates may be used as the driving risk coping scheme of the vehicle on the target road segment.
As mentioned above, the driving risk coping schemes include the activated monitoring devices and the corresponding levels of the monitoring devices, for example, the vehicle has 6 driving risk coping schemes, which are: the driving risk coping scheme 1 has the first level of monitoring equipment A and the first level of monitoring equipment B started, the driving risk coping scheme 2 has the first level of monitoring equipment C and the third level of monitoring equipment A started, the driving risk coping scheme 3 has the second level of monitoring equipment A started, the driving risk coping scheme 4 has the first level of monitoring equipment A, the first level of monitoring equipment B and the first level of monitoring equipment C started, the driving risk coping scheme 5 has the second level of monitoring equipment B, the second level of monitoring equipment C and the first level of monitoring equipment D started, the driving risk coping scheme 6 has the second level of monitoring equipment A, the second level of monitoring equipment B and the first level of monitoring equipment C started, the number of monitoring equipment in the driving risk coping scheme 1 is 2, the number of monitoring equipment in the driving risk coping scheme 2 is 2, and the number of monitoring equipment in the driving risk coping scheme 3 is 1, the number of the monitoring devices in the driving risk coping scheme 4 is 3, the number of the monitoring devices in the driving risk coping scheme 1 is 3, and the number of the monitoring devices in the driving risk coping scheme 5 is 4. If the driving risk coping schemes corresponding to the plurality of minimum predicted traffic accident rates are the driving risk coping scheme 1, the driving risk coping scheme 3 and the driving risk coping scheme 5, respectively, the driving risk coping scheme 5 can be used as the driving risk coping scheme of the vehicle on the target road section.
In another embodiment, if the maximum number of monitoring devices includes a plurality of maximum monitoring devices, the driving risk coping scheme of the vehicle on the target road section may be further determined according to the monitoring levels in the driving risk coping schemes respectively corresponding to the plurality of maximum monitoring devices, in this embodiment, the method further includes:
and if the maximum monitoring equipment number comprises a plurality of monitoring levels, determining the driving risk coping scheme of the vehicle on the target road section according to the monitoring levels in the driving risk coping schemes respectively corresponding to the maximum monitoring equipment numbers.
Specifically, when the maximum number of the monitoring devices is multiple, the monitoring device may be determined according to the monitoring level, and if the monitoring device does not start the monitoring level in the driving risk coping scheme, the monitoring level at which the monitoring device is started may be determined to be zero.
Optionally, determining the driving risk coping scheme of the vehicle on the target road section according to the monitoring levels may be to perform size comparison between the monitoring levels, and use the maximum monitoring level as the driving risk coping scheme of the vehicle on the target road section, and the monitoring level in the driving risk coping scheme may be the sum of the monitoring levels of each monitoring device, or may be an average value of the monitoring levels of each monitoring device.
For example, the driving risk coping schemes corresponding to the maximum monitoring devices are respectively a driving risk coping scheme 1, a driving risk coping scheme 2 and a driving risk coping scheme 3, wherein a first level of monitoring device a and a second level of monitoring device B are started in the driving risk coping scheme 1, a first level of monitoring device C and a third level of monitoring device a are started in the driving risk coping scheme 2, and a third level of monitoring device a is started in the driving risk coping scheme 3.
If the monitoring level in the driving risk coping scheme 1 is 2, the monitoring level in the driving risk coping scheme 2 is 4, and the monitoring level in the driving risk coping scheme 3 is 3 according to the sum of the monitoring levels of the monitoring devices, the driving risk coping scheme 2 can be used as the driving risk coping scheme of the vehicle on the target road section because the numerical value of the monitoring level in the driving risk coping scheme 2 is the largest.
If the monitoring level in the driving risk coping scheme 1 is 1, the monitoring level in the driving risk coping scheme 2 is 2, and the monitoring level in the driving risk coping scheme 3 is 3 according to the average value of the monitoring levels of the respective monitoring devices, since the numerical value of the monitoring level in the driving risk coping scheme 3 is the largest, the driving risk coping scheme 3 can be used as the driving risk coping scheme of the vehicle on the target road section.
In an embodiment of the present application, determining the driving risk coping scheme of the vehicle on the target road segment according to the monitoring level may also be a manner of performing weighted summation on the monitoring level, as shown in fig. 3, in this embodiment, determining the driving risk coping scheme of the vehicle on the target road segment according to the monitoring levels in the driving risk coping schemes respectively corresponding to a plurality of maximum monitoring device numbers may specifically include steps S310 to S320, and the following is now described in detail:
step S310, carrying out weighted summation on the monitoring levels in the driving risk coping schemes corresponding to the maximum monitoring equipment numbers respectively, and obtaining weighted values corresponding to the monitoring levels in the driving risk coping schemes corresponding to the maximum monitoring equipment numbers respectively.
Specifically, the monitoring levels in the driving risk handling scheme corresponding to the maximum monitoring device numbers may be weighted and summed according to the weighting factors, where the weighting factors may be determined according to the importance of the monitoring devices corresponding to the monitoring levels, and the importance may be determined according to the characteristics of the monitoring devices and the actual use conditions of the monitoring devices, for example, if the importance of the tire pressure sensor is smaller than the importance of the road visibility monitoring devices, if the weighting factor given to the road visibility monitoring devices is 0.6, the weighting factor smaller than 0.6, for example, 0.4, may be given to the tire pressure sensor.
After the weight factors are obtained, the monitoring levels in the driving risk handling scheme corresponding to the maximum number of the monitoring devices may be weighted and summed, for example, if the driving risk handling scheme starts the primary monitoring device a and the secondary monitoring device B, the weight factor given to the monitoring device a is 0.4, and the weight factor given to the monitoring device B is 0.7, the weight value of the monitoring levels in the driving risk handling scheme may be obtained as 0.4 + 1.7 — 2 — 1.8.
Step S320, regarding the driving risk handling scheme corresponding to the maximum weighted value among the weighted values of the monitoring levels in the driving risk handling schemes corresponding to the number of the maximum monitoring devices as the driving risk handling scheme of the vehicle on the target road section.
After the weighted values corresponding to the monitoring levels in the driving risk coping schemes corresponding to the plurality of maximum monitoring device numbers are obtained through step S310, the driving risk coping scheme corresponding to the maximum weighted value may be used as the driving risk coping scheme of the vehicle on the target road section.
Similarly, in the case that a plurality of maximum weighting values occur, it is further necessary to determine a driving risk coping scheme of the vehicle on the target road section according to the plurality of maximum weighting values.
In one embodiment, in a case where a plurality of maximum weighting values occur, the method for determining the driving risk coping scheme of the vehicle on the target road section according to the plurality of maximum weighting values may include:
and if the maximum weighted value comprises a plurality of maximum weighted values, selecting one driving risk coping scheme from the driving risk coping schemes respectively corresponding to the plurality of maximum weighted values as the driving risk coping scheme of the vehicle on the target road section.
In an embodiment of the present application, as shown in fig. 4, step S310 may specifically include:
step S3101, obtaining the importance degree of the potential hazards of the traffic accidents monitored by the monitoring equipment on the vehicle;
step S3102, setting the degree of importance as a weighting factor of the monitoring level of the monitoring device;
step S3103, according to the weight factors, performing weighted summation on the monitoring levels in the driving risk coping schemes corresponding to the plurality of maximum monitoring device numbers, to obtain weighted values corresponding to the monitoring levels in the driving risk coping schemes corresponding to the plurality of maximum monitoring device numbers.
These steps are explained in detail below:
in step S3101, the degree of importance of the potential risk of the traffic accident monitored by the monitoring device on the vehicle is acquired.
Specifically, one or more traffic accident hidden dangers such as tire burst, oil leakage, too short vehicle sight distance, slippery road surface and the like can be involved in the traffic accidents, and the monitoring equipment can monitor the traffic accident hidden dangers, for example, the traffic accident hidden danger monitored by the tire pressure sensor is tire burst, and the traffic accident hidden danger monitored by the engine oil leakage monitoring equipment is oil leakage and the like.
The potential risks of the traffic accident are potential risks of the traffic accident, the potential risks are emphasized, the traffic accident can be effectively prevented, the severity of the traffic accident caused by different potential risks of the traffic accident is possibly different, and therefore the emphasis degree on different potential risks of the traffic accident is possibly different.
Step S3102, the degree of importance is used as a weighting factor for the monitoring level of the monitoring device.
Specifically, the degree of importance obtained in step S3101 is used as a weighting factor for the monitoring level of the monitoring device to perform weighted summation calculation.
Step S3103, according to the weight factors, performing weighted summation on the monitoring levels in the driving risk coping schemes corresponding to the plurality of maximum monitoring device numbers, to obtain weighted values corresponding to the monitoring levels in the driving risk coping schemes corresponding to the plurality of maximum monitoring device numbers.
After the weighting factors are obtained in step S3102, weighted summation may be performed on the monitoring levels in the driving risk coping schemes corresponding to the number of the maximum monitoring devices, so as to obtain weighted values corresponding to the monitoring levels in the driving risk coping schemes corresponding to the number of the maximum monitoring devices, where the weighted summation is described above and is not described herein again.
In an embodiment of the present application, as shown in fig. 5, the manner of obtaining the importance of the potential risk of the traffic accident monitored by the monitoring device on the vehicle may include steps S31011 to S31012, which will be described in detail as follows:
step S31011, according to the historical traffic accident data of the target road section, the traffic accident rate caused by the traffic accident hidden danger monitored by the monitoring equipment on the vehicle is counted.
Specifically, because the traffic accident hidden danger exists, the traffic accident is easy to happen, and therefore the traffic accident rate caused by the traffic accident hidden danger can be counted according to historical traffic accident data of the target road section. The traffic accident potential which causes the traffic accident is usually recorded in the historical traffic accident data, so the traffic accident rate caused by the traffic accident potential can be calculated according to the historical traffic accident data.
Step S31012, regarding the traffic accident rate caused by the traffic accident potential monitored by the monitoring device on the vehicle as the importance degree of the traffic accident potential monitored by the monitoring device on the vehicle.
It can be understood that the greater the traffic accident rate caused by the traffic accident hidden danger, the more important the traffic accident hidden danger should be, therefore, the greater the importance degree of the traffic accident hidden danger is, therefore, the traffic accident rate caused by the traffic accident hidden danger monitored by the monitoring equipment on the vehicle can be used as the importance degree of the traffic accident hidden danger monitored by the monitoring equipment on the vehicle. For example, if the traffic accident rate caused by the hidden danger of a tire burst is calculated to be 30%, the attention degree of the hidden danger of the traffic accident monitored by the tire sensor can be 30%.
The following describes embodiments of the apparatus of the present application, which may be used to implement the vehicle driving risk coping method in the above-described embodiments of the present application. For details that are not disclosed in the embodiments of the apparatus of the present application, please refer to the embodiments of the vehicle driving risk coping method described above in the present application.
Fig. 6 shows a block diagram of a vehicle driving risk coping apparatus according to an embodiment of the present application, and referring to fig. 6, a vehicle driving risk coping apparatus 600 according to an embodiment of the present application includes: an acquisition unit 602, a prediction unit 604, and a determination unit 606.
The obtaining unit 602 is configured to obtain a plurality of driving risk handling schemes of a vehicle according to historical traffic accident data of a target road section, monitoring equipment on the vehicle on the target road section and monitoring levels of the monitoring equipment; a prediction unit 604, configured to predict traffic accident rates of the vehicle in the multiple driving risk handling schemes according to the historical traffic accident data, so as to obtain multiple predicted traffic accident rates of the vehicle; a determining unit 606 configured to determine a driving risk coping scheme of the vehicle on the target road segment according to the plurality of predicted traffic accident rates.
In some embodiments of the present application, the determining unit 606 is configured to: and taking the driving risk coping scheme corresponding to the minimum predicted traffic accident rate in the plurality of predicted traffic accident rates as the driving risk coping scheme of the vehicle on the target road section.
In some embodiments of the present application, the determining unit 606 is further configured to: and if the minimum predicted traffic accident rate contains a plurality of minimum predicted traffic accident rates, determining a driving risk coping scheme of the vehicle on the target road section according to the number of monitoring devices in the driving risk coping schemes respectively corresponding to the minimum predicted traffic accident rates.
In some embodiments of the present application, the determining unit 606 is further configured to: and taking the driving risk coping scheme corresponding to the maximum monitoring equipment number in the driving risk coping schemes respectively corresponding to the minimum predicted traffic accident rates as the driving risk coping scheme of the vehicle on the target road section.
In some embodiments of the present application, the determining unit 606 is further configured to: and if the maximum monitoring equipment number comprises a plurality of monitoring levels, determining the driving risk coping scheme of the vehicle on the target road section according to the monitoring levels in the driving risk coping schemes respectively corresponding to the maximum monitoring equipment numbers.
In some embodiments of the present application, the determining unit 606 comprises: the weighted summation subunit is configured to perform weighted summation on the monitoring levels in the driving risk corresponding schemes corresponding to the plurality of maximum monitoring equipment numbers respectively to obtain weighted values corresponding to the monitoring levels in the driving risk corresponding schemes corresponding to the plurality of maximum monitoring equipment numbers respectively; and the determining subunit is configured to use the driving risk handling scheme corresponding to the maximum weighted value in the weighted values corresponding to the monitoring levels in the driving risk handling schemes corresponding to the plurality of maximum monitoring device numbers as the driving risk handling scheme of the vehicle on the target road section.
In some embodiments of the present application, the determining subunit is further configured to: and if the maximum weighted value comprises a plurality of maximum weighted values, selecting one driving risk coping scheme from the driving risk coping schemes respectively corresponding to the plurality of maximum weighted values as the driving risk coping scheme of the vehicle on the target road section.
In some embodiments of the present application, the weighted sum subunit is configured to: acquiring the attention degree of the potential hazards of the traffic accidents monitored by the monitoring equipment on the vehicle; taking the degree of importance as a weight factor of the monitoring level of the monitoring equipment; and according to the weight factors, carrying out weighted summation on the monitoring levels in the driving risk corresponding schemes corresponding to the maximum monitoring equipment numbers respectively to obtain weighted values corresponding to the monitoring levels in the driving risk corresponding schemes corresponding to the maximum monitoring equipment numbers respectively.
In some embodiments of the present application, the weighted sum subunit is further configured to: according to the historical traffic accident data of the target road section, the traffic accident rate caused by the traffic accident hidden danger monitored by the monitoring equipment on the vehicle is counted; and taking the traffic accident rate caused by the traffic accident hidden danger monitored by the monitoring equipment on the vehicle as the attention degree of the traffic accident hidden danger monitored by the monitoring equipment on the vehicle.
FIG. 7 illustrates a schematic structural diagram of a computer system suitable for use in implementing the electronic device of an embodiment of the present application.
It should be noted that the computer system 700 of the electronic device shown in fig. 7 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present application.
As shown in fig. 7, the computer system 700 includes a Central Processing Unit (CPU)701, which can perform various appropriate actions and processes, such as performing the methods described in the above embodiments, according to a program stored in a Read-Only Memory (ROM) 702 or a program loaded from a storage section 708 into a Random Access Memory (RAM) 703. In the RAM 703, various programs and data necessary for system operation are also stored. The CPU 701, the ROM 702, and the RAM 703 are connected to each other via a bus 704. An Input/Output (I/O) interface 705 is also connected to the bus 704.
The following components are connected to the I/O interface 705: an input portion 706 including a keyboard, a mouse, and the like; an output section 707 including a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and a speaker; a storage section 708 including a hard disk and the like; and a communication section 709 including a Network interface card such as a LAN (Local Area Network) card, a modem, or the like. The communication section 709 performs communication processing via a network such as the internet. A drive 710 is also connected to the I/O interface 705 as needed. A removable medium 711 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 710 as necessary, so that a computer program read out therefrom is mounted into the storage section 708 as necessary.
In particular, according to embodiments of the application, the processes described above with reference to the flow diagrams may be implemented as computer software programs. For example, embodiments of the present application include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising a computer program for performing the method illustrated by the flow chart. In such an embodiment, the computer program can be downloaded and installed from a network through the communication section 709, and/or installed from the removable medium 711. The computer program executes various functions defined in the system of the present application when executed by a Central Processing Unit (CPU) 701.
It should be noted that the computer readable medium shown in the embodiments of the present application may be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a Read-Only Memory (ROM), an Erasable Programmable Read-Only Memory (EPROM), a flash Memory, an optical fiber, a portable Compact Disc Read-Only Memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present application, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In this application, however, a computer readable signal medium may include a propagated data signal with a computer program embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. The computer program embodied on the computer readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wired, etc., or any suitable combination of the foregoing.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present application. Each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams or flowchart illustration, and combinations of blocks in the block diagrams or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The units described in the embodiments of the present application may be implemented by software, or may be implemented by hardware, and the described units may also be disposed in a processor. Wherein the names of the elements do not in some way constitute a limitation on the elements themselves.
As another aspect, the present application also provides a computer-readable medium, which may be contained in the electronic device described in the above embodiments; or may exist separately without being assembled into the electronic device. The computer readable medium carries one or more programs which, when executed by an electronic device, cause the electronic device to implement the method described in the above embodiments.
It should be noted that although in the above detailed description several modules or units of the device for action execution are mentioned, such a division is not mandatory. Indeed, the features and functionality of two or more modules or units described above may be embodied in one module or unit, according to embodiments of the application. Conversely, the features and functions of one module or unit described above may be further divided into embodiments by a plurality of modules or units.
Through the above description of the embodiments, those skilled in the art will readily understand that the exemplary embodiments described herein may be implemented by software, or by software in combination with necessary hardware. Therefore, the technical solution according to the embodiments of the present application can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (which can be a CD-ROM, a usb disk, a removable hard disk, etc.) or on a network, and includes several instructions to enable a computing device (which can be a personal computer, a server, a touch terminal, or a network device, etc.) to execute the method according to the embodiments of the present application.
Other embodiments of the present application will be apparent to those skilled in the art from consideration of the specification and practice of the embodiments disclosed herein. This application is intended to cover any variations, uses, or adaptations of the invention following, in general, the principles of the application and including such departures from the present disclosure as come within known or customary practice within the art to which the invention pertains.
It will be understood that the present application is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the application is limited only by the appended claims.
Claims (10)
1. A vehicle driving risk coping method, characterized by comprising:
acquiring a plurality of driving risk coping schemes of a vehicle according to historical traffic accident data of a target road section, monitoring equipment on the vehicle of the target road section and the monitoring level of the monitoring equipment;
predicting the traffic accident rates of the vehicle in the plurality of driving risk coping schemes according to the historical traffic accident data to obtain a plurality of predicted traffic accident rates of the vehicle;
and determining a driving risk coping scheme of the vehicle on the target road section according to the plurality of predicted traffic accident rates.
2. The method of claim 1, wherein determining a driving risk coping scheme for the vehicle on the target road segment according to the plurality of predicted traffic accident rates comprises:
and taking the driving risk coping scheme corresponding to the minimum predicted traffic accident rate in the plurality of predicted traffic accident rates as the driving risk coping scheme of the vehicle on the target road section.
3. The method of claim 2, further comprising:
and if the minimum predicted traffic accident rate contains a plurality of minimum predicted traffic accident rates, determining a driving risk coping scheme of the vehicle on the target road section according to the number of monitoring devices in the driving risk coping schemes respectively corresponding to the minimum predicted traffic accident rates.
4. The method according to claim 3, wherein the determining the driving risk coping scheme of the vehicle on the target road section according to the number of monitoring devices in the driving risk coping schemes respectively corresponding to the plurality of minimum predicted traffic accident rates comprises:
and taking the driving risk coping scheme corresponding to the maximum monitoring equipment number in the driving risk coping schemes respectively corresponding to the minimum predicted traffic accident rates as the driving risk coping scheme of the vehicle on the target road section.
5. The method of claim 4, further comprising:
and if the maximum monitoring equipment number comprises a plurality of monitoring levels, determining the driving risk coping scheme of the vehicle on the target road section according to the monitoring levels in the driving risk coping schemes respectively corresponding to the maximum monitoring equipment numbers.
6. The method according to claim 5, wherein the determining the driving risk coping scheme of the vehicle on the target road section according to the monitoring level in the driving risk coping schemes respectively corresponding to the plurality of maximum monitoring device numbers comprises:
carrying out weighted summation on the monitoring levels in the driving risk corresponding schemes corresponding to the maximum monitoring equipment numbers respectively to obtain weighted values corresponding to the monitoring levels in the driving risk corresponding schemes corresponding to the maximum monitoring equipment numbers respectively;
and taking the driving risk coping scheme corresponding to the maximum weighted value in the weighted values corresponding to the monitoring levels in the driving risk coping schemes corresponding to the maximum monitoring equipment numbers as the driving risk coping scheme of the vehicle on the target road section.
7. The method of claim 6, further comprising:
and if the maximum weighted value comprises a plurality of maximum weighted values, selecting one driving risk coping scheme from the driving risk coping schemes respectively corresponding to the plurality of maximum weighted values as the driving risk coping scheme of the vehicle on the target road section.
8. The method according to claim 6, wherein the weighted summation of the monitoring levels in the driving risk handling scheme corresponding to the maximum monitoring device quantities to obtain the weighted values corresponding to the monitoring levels in the driving risk handling scheme corresponding to the maximum monitoring device quantities includes:
acquiring the attention degree of the potential hazards of the traffic accidents monitored by the monitoring equipment on the vehicle;
taking the degree of importance as a weight factor of the monitoring level of the monitoring equipment;
and according to the weight factors, carrying out weighted summation on the monitoring levels in the driving risk corresponding schemes corresponding to the maximum monitoring equipment numbers respectively to obtain weighted values corresponding to the monitoring levels in the driving risk corresponding schemes corresponding to the maximum monitoring equipment numbers respectively.
9. The method of claim 8, wherein obtaining the importance of the potential traffic accident hazard monitored by the monitoring device on the vehicle comprises:
according to the historical traffic accident data of the target road section, the traffic accident rate caused by the traffic accident hidden danger monitored by the monitoring equipment on the vehicle is counted;
and taking the traffic accident rate caused by the traffic accident hidden danger monitored by the monitoring equipment on the vehicle as the attention degree of the traffic accident hidden danger monitored by the monitoring equipment on the vehicle.
10. A vehicle driving risk coping apparatus, characterized in that the apparatus comprises:
the system comprises an acquisition unit, a display unit and a processing unit, wherein the acquisition unit is configured to acquire a plurality of driving risk coping schemes of a vehicle according to historical traffic accident data of a target road section, monitoring equipment on the vehicle on the target road section and monitoring levels of the monitoring equipment;
the prediction unit is configured to predict the traffic accident rates of the vehicle in the plurality of driving risk coping schemes according to the historical traffic accident data, and obtain a plurality of predicted traffic accident rates of the vehicle;
a determination unit configured to determine a driving risk coping scheme of the vehicle on the target road segment according to the plurality of predicted traffic accident rates.
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