CN106373331A - Riding early-warning method and device - Google Patents
Riding early-warning method and device Download PDFInfo
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- CN106373331A CN106373331A CN201610860465.3A CN201610860465A CN106373331A CN 106373331 A CN106373331 A CN 106373331A CN 201610860465 A CN201610860465 A CN 201610860465A CN 106373331 A CN106373331 A CN 106373331A
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- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
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Abstract
The present invention discloses a riding early-warning method and device. The method includes the following steps that: car driving parameters corresponding to a car taken by a passenger is obtained; and if it is determined that the car driving parameters do not satisfy a vehicle safety riding condition, preset early-warning processing operation is performed to alert and prompt the passenger, so that the riding safety of the passenger can be ensured. According to the prior art, a passenger needs to judge the safety of riding according to the subjective consciousness of the passenger, and no systematized and automated tailored taxi service safety evaluation criteria and early-warning mechanisms exist, while, with the riding early-warning method and device adopted, the situations in the prior art can be avoided; and when the current riding environmental security level of the passenger is low, corresponding early-warning processing strategies can be taken, and the riding safety of the passenger can be ensured.
Description
Technical Field
The embodiment of the invention relates to a safety monitoring technology, in particular to a riding early warning method and device.
Background
With the development of the internet, more and more private car owners are added to the ranks of the drivers of the special cars. Although the special car service platform meets the difference requirements of users for going out and provides convenience, safety accidents caused by taking special cars frequently occur. At present, the safety problem of taking a special car is greatly concerned by people.
In the prior art, passengers mainly predict the safety of the special vehicle according to the historical passenger record (typical, favorable comment rate and order number) of the special vehicle driver recorded by the system; in the process of taking a car, the user is also required to judge the current safety of taking a car according to personal experience or alertness.
The main defects of the prior art are that the evaluation of the safety of the special vehicle completely depends on the safety consciousness and thinking judgment of passengers, and systematic and automatic safety evaluation standards and early warning mechanisms of the special vehicle are not realized.
Disclosure of Invention
In view of this, the embodiment of the invention provides a riding warning method and a riding warning device, so as to ensure riding safety of passengers.
In a first aspect, an embodiment of the present invention provides a riding warning method, including:
acquiring vehicle running parameters corresponding to a vehicle taken by a passenger;
and if the vehicle driving parameters are determined not to meet the safe vehicle taking conditions, executing preset early warning processing operation to perform early warning prompt on the passengers so as to ensure the safe taking of the passengers.
In a second aspect, an embodiment of the present invention further provides a riding warning device, including:
the acquisition module is used for acquiring vehicle running parameters corresponding to a vehicle taken by a passenger;
and the execution module is used for executing preset early warning processing operation to carry out early warning prompt on the passenger if the vehicle driving parameter is determined not to meet the safe riding condition of the vehicle, so as to ensure the riding safety of the passenger.
According to the embodiment of the invention, vehicle running parameters corresponding to the vehicle taken by the passenger are obtained; and if the vehicle driving parameters are determined not to meet the safe riding conditions of the vehicle, executing a preset early warning processing operation to perform early warning prompt on the passenger, solving the technical problems that the passenger needs to judge the riding safety according to subjective consciousness, and systematic and automatic special vehicle safety evaluation standards and early warning mechanisms are not realized in the prior art, and adopting a corresponding early warning processing strategy to ensure the riding safety of the passenger under the condition of determining that the current riding environment safety level of the passenger is low.
Drawings
Fig. 1 is a flowchart of a riding warning method according to a first embodiment of the present invention;
fig. 2 is a flowchart of a riding warning method according to a second embodiment of the present invention;
fig. 3 is a flowchart of a riding warning method according to a third embodiment of the present invention;
fig. 4 is a flowchart of a riding warning method according to a fourth embodiment of the present invention;
fig. 5 is a flow chart of a structure of a riding warning device according to a fifth embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, embodiments of the present invention are described in further detail below with reference to the accompanying drawings. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting of the invention.
It should be further noted that, for the convenience of description, only some but not all of the relevant aspects of the present invention are shown in the drawings. Before discussing exemplary embodiments in more detail, it should be noted that some exemplary embodiments are described as processes or methods depicted as flowcharts. Although a flowchart may describe the operations (or steps) as a sequential process, many of the operations can be performed in parallel, concurrently or simultaneously. In addition, the order of the operations may be re-arranged. The process may be terminated when its operations are completed, but may have additional steps not included in the figure. The processes may correspond to methods, functions, procedures, subroutines, and the like.
Example one
Fig. 1 is a flowchart of a riding warning method according to an embodiment of the present invention, where the method of the present embodiment may be executed by a riding warning device, the device may be implemented by hardware and/or software, and may be generally integrated in a server, for example, a server of various car-booking applications ("dribble trip" or "excellent step" and the like), and used in cooperation with a terminal device carried by a passenger. The method of the embodiment specifically includes:
and S110, acquiring vehicle running parameters corresponding to the vehicle taken by the passenger.
In the embodiment, the inventor creatively proposes that the judgment of the riding safety is not finished in a mode depending on the subjective judgment of the passenger, but is automatically finished by collecting the vehicle running parameters of the vehicle which the passenger takes.
The vehicle driving parameters specifically refer to parameters which can represent a vehicle driving environment or a driving state of a driver and the like and can be used for measuring riding safety of passengers.
Optionally, the vehicle driving parameter may be a driving habit factor determined by real-time driving behavior data of a driver of the vehicle (for example, average speed of the driver in normal driving, average driving acceleration, the number of times of braking of the driver in a set time period, the number of times of stepping on the accelerator of the driver in the set time period, the number of times of changing the turning direction, and the like); the vehicle driving parameters can also be the real-time riding track of passengers; the vehicle running parameter may also be a vehicle density around the vehicle on which the user is riding, or the like.
In this embodiment, the driver information corresponding to the vehicle taken by the passenger may be determined by the User name registered in the car appointment application by the driver or the CUID (Called User Identification number) of the terminal used in registration.
After a passenger finishes vehicle reservation through the vehicle reservation application program, the background server can acquire corresponding driver information and passenger information according to a vehicle reservation order, and further can acquire corresponding information of a terminal carried by the driver, a vehicle driven by the driver or a terminal carried by the passenger through the driver information and the passenger information, and further can acquire the vehicle driving parameters through the information.
And S120, if the vehicle driving parameters are determined not to meet the safe riding conditions of the vehicle, executing preset early warning processing operation to give early warning prompt to the passenger so as to ensure the riding safety of the passenger.
Wherein different safe vehicle riding conditions can be determined according to different types of vehicle running parameters.
Typically, if the vehicle driving parameter is a driving habit factor of a driver of the vehicle, the driving habit factor may be compared with a historical driving habit factor of the driver, and if the difference is large, it may be determined that the current driving behavior of the driver is abnormal, and it may be determined that the safe riding condition of the vehicle is not satisfied;
or, if the vehicle driving parameter is a real-time riding track, the real-time riding track may be matched with an ideal riding track (one or more navigation routes planned according to start and end point information input by a passenger), and if the difference between the real-time riding track and the ideal riding track is large, it may be determined that the current driving behavior of the driver is abnormal, and it may be determined that the safe riding condition of the vehicle is not satisfied;
or, if the vehicle driving parameter is the density of the vehicles around the vehicle taken by the passenger, the density value of the vehicles can be simply analyzed, and if the number of the vehicles around the vehicle is less, the driver is instructed to walk on a more remote road section, so that the condition that the safe taking of the vehicle is not met can be determined.
In this embodiment, the performing of the preset warning processing operation to perform the warning prompt for the passenger may be: the instant messaging software in the terminal equipment of the passenger is controlled to be started, so that the passenger can perform online instant messaging with a set friend in real time, safety early warning is realized, and the riding safety of the passenger is ensured;
the performing of the preset early warning processing operation to perform the early warning prompt on the passenger may also be sending the real-time riding track of the passenger and an ideal planned route to the passenger and/or a terminal device of a set friend of the passenger, so that the passenger and/or the friend of the passenger can monitor the real-time riding track in real time, thereby realizing the safety early warning and ensuring the riding safety of the passenger;
the performing of the preset early warning processing operation to perform the early warning prompt on the passenger can also be used for sending warning information to a set information platform and displaying a cancel operation control in the terminal device of the passenger so that the passenger can close the sending of the warning information at any time; or the alarm control is popped out from the terminal equipment of the passenger, so that the passenger can rapidly give an alarm in a set information platform through the alarm control, thereby realizing safety early warning and ensuring the riding safety of the passenger.
Optionally, the setting information platform may include: in the vehicle networking system, a vehicle closest to a vehicle in which the passenger is riding.
In a specific example, the passenger terminal may be controlled to automatically start a preset instant chat tool, and enter a preset chat group in the chat tool (for example, one or more family, relatives, or friends of the passenger are added in the chat group in advance), so that the user may communicate with the relatives and friends in real time in the chat group in a voice or video manner, so as to facilitate the user to alarm in real time.
In this embodiment, if the vehicle driving parameter does not satisfy the safe riding condition of the vehicle currently ridden by the passenger, that is, the vehicle driving parameter does not reach the set safety level, a preset early warning processing operation is performed to perform an early warning prompt on the passenger (for example, an instant messaging software of a terminal device is started), so that the riding safety of the passenger is ensured, and the safety awareness of the passenger is improved.
According to the embodiment of the invention, vehicle running parameters corresponding to the vehicle taken by the passenger are obtained; and if the vehicle driving parameters are determined not to meet the safe riding conditions of the vehicle, executing a preset early warning processing operation to perform early warning prompt on the passenger, solving the technical problems that the passenger needs to judge the riding safety according to subjective consciousness, and systematic and automatic special vehicle safety evaluation standards and early warning mechanisms are not realized in the prior art, and adopting a corresponding early warning processing strategy to ensure the riding safety of the passenger under the condition of determining that the current riding environment safety level of the passenger is low.
Example two
Fig. 2 is a flowchart of a riding warning method in a second embodiment of the present invention, which is optimized based on the foregoing embodiment, in this embodiment, the obtaining of the vehicle driving parameters corresponding to the vehicle taken by the passenger is optimized as follows: obtaining real-time driving behavior data of a vehicle driver of a vehicle on which the passenger is riding; extracting at least one driving habit factor in the real-time driving behavior data to serve as the vehicle driving parameter;
and meanwhile, optimizing the condition that the vehicle running parameters do not meet the safe vehicle riding conditions as follows: and if the difference value between the driving habit factor and the historical standard driving habit factor of the vehicle driver exceeds a driving difference threshold, determining that the vehicle driving parameter does not meet the safe vehicle riding condition. Correspondingly, the method of the embodiment specifically includes:
s210, acquiring real-time driving behavior data of a vehicle driver of the vehicle on which the passenger takes.
As described above, after determining the driver information and the passenger information, the real-time driving behavior data of the driver of the vehicle may be acquired based on various sensors (for example, an acceleration sensor, a speed sensor, a gravity sensor, a gyroscope, or the like) in the terminal device associated with the driver information and/or the passenger information, or based on various sensors or an image pickup device configured in the vehicle associated with the driver information.
Wherein the real-time driving behavior data may include: the speed value, the acceleration value or the direction of the vehicle head of the vehicle at a set time point, or the time point when the driver steps on the accelerator or brakes.
S220, extracting at least one driving habit factor in the real-time driving behavior data to serve as the vehicle driving parameter.
The driving habit factor specifically refers to a characteristic parameter that can be used to measure driving behavior habits of a vehicle driver, wherein the driving habit factor may include at least one of the following:
the method comprises the following steps of average speed value, average acceleration value, braking times in a set time period, throttle times in the set time period and direction change times in the set time period.
As described above, after the real-time driving behavior data is acquired, the driving habit factors can be obtained through simple data processing.
And S230, if the difference value between the driving habit factor and the historical standard driving habit factor of the vehicle driver exceeds a driving difference threshold, determining that the vehicle driving parameter does not meet the safe riding condition of the vehicle.
In this embodiment, the historical standard driving habit factor is determined from historical driving behavior data of the driver of the vehicle.
Typically, after a driver is registered in a car-booking application program, the car-booking application program may obtain daily driving behavior data of the driver in real time and report the daily driving behavior data to the server, and the server may determine a historical standard driving habit factor corresponding to the driver through a large amount of driving behavior data.
If it is determined that the driving habit factors of the vehicle driver of the vehicle taken by the passenger are greatly different from the historical standard driving habit factors of the vehicle driver in the current taking process, the real-time driving behavior of the vehicle driver of the vehicle taken by the passenger can be determined to be abnormal, and the passenger can be rapidly helped to judge that the safety level of the vehicle taken by the passenger is low.
For example, the average speed of the historical driving of the driver corresponding to the vehicle driver who obtained the ride is 60km/h, while the average speed of the driver is 130km/h during the ride, the difference between the average driving speed monitored in real time and the historical average driving speed exceeds the preset driving difference threshold (for example, the preset driving average speed difference threshold is 30km/h), the abnormal driving of the vehicle driver of the vehicle on which the passenger rides is determined, and the current safety level is low.
And S240, executing a preset early warning processing operation to give an early warning prompt to the passenger so as to ensure the riding safety of the passenger.
When the terminal detects that the current riding safety level is low, executing a preset early warning processing operation to give an early warning prompt to the passenger, and ensuring that the passenger can safely ride the bus through the preset early warning processing operation.
Optionally, the instant messaging software in the terminal device of the passenger can be controlled to be started, so that the passenger can perform online instant messaging with a set friend in real time, thereby realizing safety early warning and ensuring riding safety of the passenger.
In the embodiment of the invention, real-time driving behavior data of a vehicle driver of a vehicle on which a passenger takes is obtained; extracting at least one driving habit factor in the real-time driving behavior data to serve as the vehicle driving parameter; if the difference value between the driving habit factors and the historical standard driving habit factors of the vehicle driver exceeds a driving difference threshold, determining that the vehicle driving parameters do not meet the technical means of safe riding conditions of the vehicle, describing the driving behavior of the vehicle driver through a series of driving habit factors to capture the abnormal driving behavior of the driver, further achieving the technical effect of monitoring the abnormal driving behavior of the vehicle driver in real time, judging the current riding safety level for passengers, and adopting a corresponding early warning processing strategy to ensure the riding safety of the passengers under the condition of automatically detecting low safety level.
In addition to the above embodiments, before acquiring the vehicle driving parameters corresponding to the vehicle in which the passenger rides, the method may further include:
generating an appointment order corresponding to the passenger and the vehicle driver; acquiring a driver portrait corresponding to the driver of the vehicle according to the identity of the driver of the vehicle in the car booking order; providing the driver representation to the passenger so that the passenger can compare and verify the driver representation with the real-time driving behavior of the driver;
wherein the driver representation is determined from historical driving behavior data of the driver of the vehicle.
As described above, the server can acquire a large amount of driving behavior data of the driver according to the account number registered by the driver in the car appointment application or the CUID of the registration terminal, and can perform user portrayal for each driver by analyzing the driving behavior data to visually describe the driving habits of the driver.
For example, a driver has a relatively smooth historical driving behavior, a historical average driving speed value of about 80km/h, a relatively small number of brakes per hour, and less than 3 brakes, and is described as "conservative". If the driver's historical driving behavior is severe, the historical average driving speed value is about 120km/h, the number of braking times in one hour is large, more than 10 times, then this type of driver is described as "impulse type".
After a passenger reserves a vehicle in a car-booking application, the application provides a driver representation (e.g., "conservative" description of the driver) corresponding to the driver of the vehicle to the passenger after generating a car-booking order corresponding to the passenger and the driver of the vehicle, so that the passenger can compare and verify the driver representation with the real-time driving behavior of the driver.
This has the advantage that the passenger is further provided with an auxiliary method for verifying the safety of the ride, for example: if the driver portrait acquired by the user in advance is conservative, but the passenger finds that the driving speed, the brake and the accelerator times of the driver are more in the riding process, the driving behavior of the driver can be subjectively judged to be abnormal, and the safety alertness can be correspondingly improved.
EXAMPLE III
Fig. 3 is a flowchart of a riding warning method in a third embodiment of the present invention, which is optimized based on the above embodiment, in this embodiment, the obtaining of the vehicle driving parameters corresponding to the vehicle taken by the passenger is optimized as follows: acquiring a real-time riding track of the passenger as the vehicle driving parameter according to the real-time position information of the passenger and the riding place of the passenger;
and meanwhile, optimizing the condition that the vehicle running parameters do not meet the safe vehicle riding conditions as follows: and if the number of the road sections of the target level included in the real-time riding track exceeds a set number threshold, determining that the vehicle driving parameters do not meet the vehicle safe riding conditions. The method of the embodiment specifically includes:
and S310, acquiring the real-time riding track of the passenger as the vehicle driving parameter according to the real-time position information of the passenger and the riding place of the passenger.
In this embodiment, the server may obtain the real-time position information of the passenger according to a terminal carried by a driver or the passenger, and generate a real-time riding track according to a riding place of the passenger.
S320, if the number of the road sections of the target level included in the real-time riding track exceeds a set number threshold, determining that the vehicle driving parameters do not meet the safe riding conditions of the vehicle.
In this embodiment, the inventor considers that a driver with normal driving behavior generally selects a driving route that is smooth or a wide and comfortable road, and thus can determine whether the driving behavior of the driver of the vehicle is abnormal or not by the road segment level of each road segment included in the real-time riding track.
If the route selected by the driver comprises a plurality of small roads with lower road section levels or remote roads, the safety level of the vehicle taken by the current passenger can be determined to be low, and the safe taking condition of the vehicle is not met.
In particular, navigation is initiated when a passenger takes a vehicle, for which an optimal route and possibly a reasonable route are calculated, if the driver from the outset does not follow the route planned by the navigation, but picks up a route. If the number of the road sections actually traveled by the driver exceeds the number of the road sections preset by navigation (for example, 3, 4 or 5 road sections, etc.) in the whole journey, the safety level of the vehicle currently riding in the bus can be determined to be low, and the safe riding condition of the vehicle can not be met.
Further, an alternative to S320 may be: and if the journey time of the real-time navigation route determined by the real-time riding track and/or the difference value between the journey distance and at least one ideal planning route exceeds a route difference threshold, determining that the vehicle driving parameter does not meet the vehicle safe riding condition.
Wherein, after the passenger sends the car booking request through car booking class application program, the server can plan out one or more reasonable navigation routes, also promptly according to the starting and ending point information that the passenger input: and each planned navigation route updates and calculates the distance and time to the riding place according to the congestion condition of the road condition.
Meanwhile, a real-time navigation route can be generated according to the real-time riding track and terminal information input by passengers in advance. The server can monitor the real-time navigation route, calculate the distance elapsed time and/or distance corresponding to the real-time navigation route, and determine that the safety level of the current passenger taking the vehicle is low and the vehicle safety taking condition is not met if the difference value between the distance elapsed time and/or distance and the distance elapsed time and/or distance of the route planned by navigation exceeds a route difference threshold.
Specifically, two ideal navigation routes are planned for reaching a navigation terminal, wherein the time consumption of the first route is 1 hour, and the distance of the first route is 100 km; the journey time of the second route is 45 minutes, and the journey distance is 80 km; the preset route difference thresholds are 0.5 hour and 50 km. If the driver walks away, the distance of the real-time navigation route is detected and determined to be 2 hours and the distance of the real-time navigation route is 200km, and the difference between the distance of the real-time navigation route and the two ideal planning routes exceeds a route difference threshold, so that the safety level of the current passenger taking the vehicle is determined to be low, and the vehicle safety taking condition is not met.
And S330, executing a preset early warning processing operation to give an early warning prompt to the passenger so as to ensure the riding safety of the passenger.
Optionally, the real-time riding track of the passenger and an ideal planned route may be sent to the terminal device of the passenger and/or the friend setting of the passenger, so that the passenger and/or the friend of the passenger can monitor the real-time riding track in real time.
In this embodiment, a real-time riding track of the passenger is acquired as the vehicle driving parameter according to the real-time position information of the passenger and the riding place of the passenger; if the number of the road sections of the target level included in the real-time riding track exceeds a set number threshold, determining that the vehicle driving parameters do not meet the vehicle safe riding conditions; or, if the distance of the real-time navigation route determined by the real-time riding track is used and/or the difference value between the distance of the real-time navigation route and at least one ideal planning route exceeds a route difference threshold, determining that the vehicle driving parameters do not meet the technical means of safe riding conditions of the vehicle, describing the driving behavior of the driver of the vehicle through the real-time vehicle track to capture the abnormal driving behavior of the driver, further achieving the technical effect of monitoring the abnormal driving behavior of the driver of the vehicle in real time, judging the current riding safety level for passengers, and adopting a corresponding early warning processing strategy to ensure the riding safety of the passengers under the condition of automatically detecting low safety level.
Example four
Fig. 4 is a flowchart of a taking warning method in a fourth embodiment of the present invention, which is optimized based on the foregoing embodiment, in this embodiment, the obtaining of the vehicle driving parameters corresponding to the vehicle taken by the passenger is optimized as follows: acquiring vehicle density around the vehicle as the vehicle running parameter through an internet of vehicles system;
and meanwhile, optimizing the condition that the vehicle running parameters do not meet the safe vehicle riding conditions as follows: determining that the vehicle travel parameter does not satisfy a vehicle safe ride condition if the vehicle density is below a density threshold. The method of the embodiment specifically includes:
and S410, acquiring the vehicle density around the vehicle as the vehicle running parameter through an Internet of vehicles system.
In order to establish a more effective riding safety system, each vehicle and other social vehicles can be added into an internet of vehicles system, the traffic flow density (the number of vehicles within a set distance range) around the vehicle ridden by the passenger is calculated by the internet of vehicles system, and the vehicle density around the vehicle is taken as the vehicle running parameter.
And S420, if the vehicle density is lower than a density threshold value, determining that the vehicle running parameters do not meet the safe vehicle riding conditions.
And calculating the traffic flow near the vehicle according to the internet of vehicles, and if the traffic flow is lower than a density threshold preset by a terminal, judging that the vehicles around the vehicle taken by the passenger are too sparse. If the passenger is too sparse, when the passenger is unexpected and is not easy to contact with surrounding vehicles for rescue, the safety level of the current passenger taking the vehicle is determined to be lower, and the safe taking condition of the vehicle is not met.
And S430, executing a preset early warning processing operation to give an early warning prompt to the passenger so as to ensure the riding safety of the passenger.
Optionally, the method may include sending alarm information to a set information platform, and displaying a cancel operation control in the terminal device of the passenger, so that the passenger can close sending of the alarm information at any time; or
And popping up an alarm control in the terminal equipment of the passenger so that the passenger can rapidly give an alarm in a set information platform through the alarm control.
In the embodiment, the vehicle density around the vehicle is obtained as the vehicle running parameter through the vehicle networking system; and if the vehicle density is lower than the density threshold value, determining that the vehicle driving parameters do not meet the technical means of safe riding conditions of the vehicle, describing the vehicle density around the vehicle taken by the passenger in the driving behavior of the driver of the vehicle to capture the abnormal driving behavior of the driver, further achieving the technical effect of monitoring the abnormal driving behavior of the driver of the vehicle in real time, judging the current safety level of taking the vehicle for the passenger, and adopting a corresponding early warning processing strategy to ensure the riding safety of the passenger under the condition of automatically detecting the low safety level.
EXAMPLE five
Fig. 5 shows a structure diagram of a riding warning device according to a fifth embodiment of the present invention. As shown in fig. 5, the apparatus includes: an acquisition module 51 and an execution module 52, wherein:
an obtaining module 51, configured to obtain vehicle driving parameters corresponding to a vehicle in which a passenger rides;
and the execution module 52 is configured to execute a preset early warning processing operation to perform an early warning prompt on the passenger if it is determined that the vehicle driving parameter does not satisfy the safe riding condition of the vehicle, so as to ensure riding safety of the passenger.
According to the embodiment of the invention, vehicle running parameters corresponding to the vehicle taken by the passenger are obtained; and if the vehicle driving parameters are determined not to meet the safe riding conditions of the vehicle, executing a preset early warning processing operation to perform early warning prompt on the passenger, solving the technical problems that the passenger needs to judge the riding safety according to subjective consciousness, and systematic and automatic special vehicle safety evaluation standards and early warning mechanisms are not realized in the prior art, and adopting a corresponding early warning processing strategy to ensure the riding safety of the passenger under the condition of determining that the current riding environment safety level of the passenger is low.
On the basis of the foregoing embodiments, the obtaining module may include:
the driving behavior data acquisition unit is used for acquiring real-time driving behavior data of a vehicle driver of a vehicle on which the passenger takes the vehicle;
the driving habit factor extracting unit is used for extracting at least one driving habit factor in the real-time driving behavior data to serve as the vehicle driving parameter;
the execution module may specifically be configured to:
determining that the vehicle driving parameters do not satisfy vehicle safe riding conditions if a difference value between the driving habit factor and a historical standard driving habit factor of the vehicle driver exceeds a driving difference threshold;
wherein the historical standard driving habit factor is determined from historical driving behavior data of the vehicle driver.
On the basis of the above embodiments, the driving habit factor may include at least one of the following:
the method comprises the following steps of average speed value, average acceleration value, braking times in a set time period, throttle times in the set time period and direction change times in the set time period.
On the basis of the above embodiments, the driver representation providing module may further include:
generating an order corresponding to a passenger and a driver of the vehicle before acquiring vehicle driving parameters corresponding to a vehicle taken by the passenger;
acquiring a driver portrait corresponding to the driver of the vehicle according to the identity of the driver of the vehicle in the car booking order;
providing the driver representation to the passenger so that the passenger can compare and verify the driver representation with the real-time driving behavior of the driver;
wherein the driver representation is determined from historical driving behavior data of the driver of the vehicle.
On the basis of the foregoing embodiments, the obtaining module may include:
a taking track acquiring unit, configured to acquire a real-time taking track of the passenger as the vehicle driving parameter according to the real-time position information of the passenger and the taking place of the passenger;
the execution module may specifically be configured to:
if the number of the road sections of the target level included in the real-time riding track exceeds a set number threshold, determining that the vehicle driving parameters do not meet the vehicle safe riding conditions; or
And if the journey time of the real-time navigation route determined by the real-time riding track and/or the difference value between the journey distance and at least one ideal planning route exceeds a route difference threshold, determining that the vehicle driving parameter does not meet the vehicle safe riding condition.
On the basis of the foregoing embodiments, the obtaining module may include:
a vehicle density acquisition unit for acquiring vehicle density around the vehicle as the vehicle running parameter through an internet of vehicles system;
the execution module may specifically be configured to:
determining that the vehicle travel parameter does not satisfy a vehicle safe ride condition if the vehicle density is below a density threshold.
On the basis of the foregoing embodiments, the execution module may include:
and controlling to start instant messaging software in the terminal equipment of the passenger so that the passenger can perform online instant messaging with the set friends in real time.
On the basis of the foregoing embodiments, the execution module may include:
and sending the real-time riding track of the passenger and an ideal planned route to the terminal equipment of the set friends of the passenger and/or the passenger, so that the passenger and/or the friends of the passenger can monitor the real-time riding track in real time.
On the basis of the foregoing embodiments, the execution module may include:
sending alarm information to a set information platform, and displaying a cancel operation control in the terminal equipment of the passenger so that the passenger can close the sending of the alarm information at any time; or
And popping up an alarm control in the terminal equipment of the passenger so that the passenger can rapidly give an alarm in a set information platform through the alarm control.
On the basis of the foregoing embodiments, the setting information platform may include: in the vehicle networking system, a vehicle closest to a vehicle in which the passenger is riding.
The riding early warning device provided by the embodiment of the invention can be used for executing the riding early warning method provided by the embodiment of the invention, has corresponding functional modules and realizes the same beneficial effects.
It will be apparent to those skilled in the art that the modules or steps of the present invention described above may be implemented by a server as described above. Alternatively, the embodiments of the present invention may be implemented by programs executable by a computer device, so that they can be stored in a storage device and executed by a processor, where the programs may be stored in a computer-readable storage medium, and the above-mentioned storage medium may be a read-only memory, a magnetic disk or an optical disk, etc.; or separately as individual integrated circuit modules, or as a single integrated circuit module from a plurality of modules or steps within them. Thus, the present invention is not limited to any specific combination of hardware and software.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (12)
1. A riding early warning method is characterized by comprising the following steps:
acquiring vehicle running parameters corresponding to a vehicle taken by a passenger;
and if the vehicle driving parameters are determined not to meet the safe vehicle taking conditions, executing preset early warning processing operation to perform early warning prompt on the passengers so as to ensure the safe taking of the passengers.
2. The method of claim 1, wherein obtaining vehicle travel parameters corresponding to a vehicle in which the passenger is traveling comprises:
obtaining real-time driving behavior data of a vehicle driver of a vehicle on which the passenger is riding;
extracting at least one driving habit factor in the real-time driving behavior data as the vehicle driving parameter, wherein the driving habit factor comprises at least one of the following items: the method comprises the following steps of (1) setting an average speed value, an average acceleration value, the number of braking times in a set time period, the number of accelerator times in the set time period and the number of direction change times in the set time period;
determining that the vehicle travel parameter does not satisfy the vehicle safe-ride condition comprises:
determining that the vehicle driving parameters do not satisfy vehicle safe riding conditions if a difference value between the driving habit factor and a historical standard driving habit factor of the vehicle driver exceeds a driving difference threshold;
wherein the historical standard driving habit factor is determined from historical driving behavior data of the vehicle driver.
3. The method of claim 2, further comprising, prior to obtaining vehicle travel parameters corresponding to a vehicle in which the passenger is riding:
generating an appointment order corresponding to the passenger and the vehicle driver;
acquiring a driver portrait corresponding to the driver of the vehicle according to the identity of the driver of the vehicle in the car booking order;
providing the driver representation to the passenger so that the passenger can compare and verify the driver representation with the real-time driving behavior of the driver;
wherein the driver representation is determined from historical driving behavior data of the driver of the vehicle.
4. The method of claim 1, wherein obtaining vehicle travel parameters corresponding to a vehicle in which the passenger is traveling comprises:
acquiring a real-time riding track of the passenger as the vehicle driving parameter according to the real-time position information of the passenger and the riding place of the passenger;
determining that the vehicle travel parameter does not satisfy the vehicle safe-ride condition comprises:
if the number of the road sections of the target level included in the real-time riding track exceeds a set number threshold, determining that the vehicle driving parameters do not meet the vehicle safe riding conditions; or
And if the journey time of the real-time navigation route determined by the real-time riding track and/or the difference value between the journey distance and at least one ideal planning route exceeds a route difference threshold, determining that the vehicle driving parameter does not meet the vehicle safe riding condition.
5. The method of claim 1, wherein obtaining vehicle travel parameters corresponding to a vehicle in which the passenger is traveling comprises:
acquiring vehicle density around the vehicle as the vehicle running parameter through an internet of vehicles system;
determining that the vehicle travel parameter does not satisfy the vehicle safe-ride condition comprises:
determining that the vehicle travel parameter does not satisfy a vehicle safe ride condition if the vehicle density is below a density threshold.
6. The method according to any one of claims 1-5, wherein performing a pre-determined pre-warning processing operation to alert the passenger comprises:
controlling and starting instant messaging software in the terminal equipment of the passenger so that the passenger can perform online instant messaging with a set friend in real time; or,
sending the real-time riding track of the passenger and an ideal planned route to terminal equipment of a set friend of the passenger and/or the passenger together so that the passenger and/or the friend of the passenger can monitor the real-time riding track in real time; or,
sending alarm information to a set information platform, and displaying a cancel operation control in the terminal equipment of the passenger so that the passenger can close the sending of the alarm information at any time; or
And popping up an alarm control in the terminal equipment of the passenger so that the passenger can rapidly give an alarm in a set information platform through the alarm control.
7. The method of claim 6, wherein the provisioning information platform comprises: in the vehicle networking system, a vehicle closest to a vehicle in which the passenger is riding.
8. A ride warning device, comprising:
the acquisition module is used for acquiring vehicle running parameters corresponding to a vehicle taken by a passenger;
and the execution module is used for executing preset early warning processing operation to carry out early warning prompt on the passenger if the vehicle driving parameter is determined not to meet the safe riding condition of the vehicle, so as to ensure the riding safety of the passenger.
9. The apparatus of claim 8, wherein the means for obtaining comprises:
the driving behavior data acquisition unit is used for acquiring real-time driving behavior data of a vehicle driver of a vehicle on which the passenger takes the vehicle;
a driving habit factor extracting unit, configured to extract at least one driving habit factor from the real-time driving behavior data, where the driving habit factor is used as the vehicle driving parameter, and the driving habit factor includes at least one of the following: the method comprises the following steps of (1) setting an average speed value, an average acceleration value, the number of braking times in a set time period, the number of accelerator times in the set time period and the number of direction change times in the set time period;
the execution module is specifically configured to:
determining that the vehicle driving parameters do not satisfy vehicle safe riding conditions if a difference value between the driving habit factor and a historical standard driving habit factor of the vehicle driver exceeds a driving difference threshold;
wherein the historical standard driving habit factor is determined from historical driving behavior data of the vehicle driver.
10. The apparatus of claim 9, further comprising a driver representation providing module to:
generating an order corresponding to a passenger and a driver of the vehicle before acquiring vehicle driving parameters corresponding to a vehicle taken by the passenger;
acquiring a driver portrait corresponding to the driver of the vehicle according to the identity of the driver of the vehicle in the car booking order;
providing the driver representation to the passenger so that the passenger can compare and verify the driver representation with the real-time driving behavior of the driver;
wherein the driver representation is determined from historical driving behavior data of the driver of the vehicle.
11. The apparatus of claim 8, wherein the means for obtaining comprises:
a taking track acquiring unit, configured to acquire a real-time taking track of the passenger as the vehicle driving parameter according to the real-time position information of the passenger and the taking place of the passenger;
the execution module is specifically configured to:
if the number of the road sections of the target level included in the real-time riding track exceeds a set number threshold, determining that the vehicle driving parameters do not meet the vehicle safe riding conditions; or
And if the journey time of the real-time navigation route determined by the real-time riding track and/or the difference value between the journey distance and at least one ideal planning route exceeds a route difference threshold, determining that the vehicle driving parameter does not meet the vehicle safe riding condition.
12. The apparatus of claim 8, wherein the means for obtaining comprises:
a vehicle density acquisition unit for acquiring vehicle density around the vehicle as the vehicle running parameter through an internet of vehicles system;
the execution module is specifically configured to:
determining that the vehicle travel parameter does not satisfy a vehicle safe ride condition if the vehicle density is below a density threshold.
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