CN109756845A - The recognition methods of cheating order and device in network about parking lot scape - Google Patents
The recognition methods of cheating order and device in network about parking lot scape Download PDFInfo
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Abstract
The application provides recognition methods and the device of order of practising fraud in a kind of network about parking lot scape.This method comprises: being generated according to start position and final position for about vehicle order and suggesting driving path；Control driving information is determined according to the suggestion driving path；Determine the corresponding true driving information of the about vehicle order；Determine whether the about vehicle order is cheating order according to the true driving information and the control driving information.The application can determine control driving information according to driving path is suggested, then determine about whether vehicle order is cheating order according to the comparison result of the true driving information of driver and the control driving information, to efficiently and accurately identify cheating order.
Description
Technical field
This application involves a kind of recognition methods for order of practising fraud in Internet technical field more particularly to network about parking lot scape
And device.
Background technique
With the fast development of Internet technology, about with it, conveniently advantage has come into people's lives to vehicle software.
About vehicle platform can provide subsidy to improve the enthusiasm of driver's order for the driver of order.Due to the presence of subsidy, part is taken charge of
Machine initiates false about vehicle order, then again by way of order to gain subsidy, the interests of serious damage about vehicle platform by cheating.Such as
What efficiently and accurately identifies that cheating order has become current urgent problem to be solved.
Summary of the invention
In view of this, the application provides recognition methods and the device of order of practising fraud in a kind of network about parking lot scape.
Specifically, the application is achieved by the following technical solution:
It practises fraud in a kind of network about parking lot scape the recognition methods of order, comprising:
For about vehicle order, is generated according to start position and final position and suggest driving path；
Control driving information is determined according to the suggestion driving path；
Determine the corresponding true driving information of the about vehicle order；
Determine whether the about vehicle order is cheating order according to the true driving information and the control driving information.
It practises fraud in a kind of network about parking lot scape the identification device of order, comprising:
Coordinates measurement unit generates according to start position and final position for about vehicle order and suggests driving path；
Information determination unit is compareed, control driving information is determined according to the suggestion driving path；
Real information determination unit determines the corresponding true driving information of the about vehicle order；
Cheating judging unit, determines that the about vehicle order is according to the true driving information and the control driving information
No is cheating order.
It practises fraud in a kind of network about parking lot scape the identification device of order, comprising:
Processor；
For storing the memory of machine-executable instruction；
Wherein, the recognition logic with order of practising fraud in network about parking lot scape stored by reading and executing the memory
Corresponding machine-executable instruction, the processor are prompted to:
For about vehicle order, is generated according to start position and final position and suggest driving path；
Control driving information is determined according to the suggestion driving path；
Determine the corresponding true driving information of the about vehicle order；
Determine whether the about vehicle order is cheating order according to the true driving information and the control driving information.
A kind of computer readable storage medium is stored with computer program on the computer readable storage medium, the journey
It is performed the steps of when sequence is executed by processor
For about vehicle order, is generated according to start position and final position and suggest driving path；
Control driving information is determined according to the suggestion driving path；
Determine the corresponding true driving information of the about vehicle order；
Determine whether the about vehicle order is cheating order according to the true driving information and the control driving information.
The application can determine control driving information according to driving path is suggested it can be seen from above description, then root
Determine about whether vehicle order is cheating order according to the true driving information of driver and the comparison result of the control driving information, from
And efficiently and accurately identify cheating order.
Detailed description of the invention
Fig. 1 is the recognition methods of order of practising fraud in a kind of network about parking lot scape shown in one exemplary embodiment of the application
Flow diagram.
Fig. 2 is the recognition methods of order of practising fraud in another network about parking lot scape shown in one exemplary embodiment of the application
Flow diagram.
Fig. 3 is the recognition methods of order of practising fraud in another network about parking lot scape shown in one exemplary embodiment of the application
Flow diagram.
Fig. 4 is a kind of path segments schematic diagram shown in one exemplary embodiment of the application.
Fig. 5 is another path segments schematic diagram shown in one exemplary embodiment of the application.
Fig. 6 is a kind of signal of the distance of the position coordinates and control driving trace shown in one exemplary embodiment of the application
Figure.
Fig. 7 is a kind of identification dress for order of practising fraud in network about parking lot scape shown in one exemplary embodiment of the application
The structural schematic diagram set.
Fig. 8 is the identification device of order of practising fraud in a kind of network about parking lot scape shown in one exemplary embodiment of the application
Block diagram.
Specific embodiment
Example embodiments are described in detail here, and the example is illustrated in the accompanying drawings.Following description is related to
When attached drawing, unless otherwise indicated, the same numbers in different drawings indicate the same or similar elements.Following exemplary embodiment
Described in embodiment do not represent all embodiments consistent with the application.On the contrary, they be only with it is such as appended
The example of the consistent device and method of some aspects be described in detail in claims, the application.
It is only to be not intended to be limiting the application merely for for the purpose of describing particular embodiments in term used in this application.
It is also intended in the application and the "an" of singular used in the attached claims, " described " and "the" including majority
Form, unless the context clearly indicates other meaning.It is also understood that term "and/or" used herein refers to and wraps
It may be combined containing one or more associated any or all of project listed.
It will be appreciated that though various information, but this may be described using term first, second, third, etc. in the application
A little information should not necessarily be limited by these terms.These terms are only used to for same type of information being distinguished from each other out.For example, not departing from
In the case where the application range, the first information can also be referred to as the second information, and similarly, the second information can also be referred to as
One information.Depending on context, word as used in this " if " can be construed to " ... when " or " when ...
When " or " in response to determination ".
The application provides the recognition methods for order of practising fraud in a kind of network about parking lot scape, which can apply about
Vehicle platform, the physical support of the about vehicle platform are typically about the server or server cluster of vehicle service provider deployment.
Certainly, the recognition methods of cheating order can also be applied in about vehicle client in the network about parking lot scape, such as: driver client
End etc., the application is not particularly limited this.
Fig. 1 is the recognition methods of order of practising fraud in a kind of network about parking lot scape shown in one exemplary embodiment of the application
Flow diagram.
Referring to FIG. 1, by taking the recognition methods for order of practising fraud in the network about parking lot scape is applied in about vehicle platform as an example, it should
Method may comprise steps of:
Step 102, it for about vehicle order, is generated according to start position and final position and suggests driving path.
In the present embodiment, for the about vehicle order of driver's order, about vehicle platform can be according to start position and terminal
Position, which generates, suggests driving path, such as: described suggestions driving path etc. is generated by invocation map interface, the processing of this part and
Realization is referred to the relevant technologies, and this is no longer going to repeat them by the application.
Step 104, control driving information is determined according to the suggestion driving path.
In the present embodiment, the control driving information is carried out for true driving information corresponding with the about vehicle order
Comparison, to determine, about whether vehicle order is cheating order.The control driving information may include: that acceleration is first predetermined value
Control duration, suggest corresponding control driving trace of each path segments etc. on driving path, it is special that the application does not make this
Limitation.
Step 106, the corresponding true driving information of the about vehicle order is determined.
In the present embodiment, about vehicle platform can receive driver's client this about vehicle order carry out during upload it is each
Then class running data determines the about corresponding true driving information of vehicle order according to running data, such as: acceleration is described
Practical duration of first predetermined value etc..
Step 108, according to the true driving information and the control driving information determine the about vehicle order whether be
Cheating order.
The application can determine control driving information according to driving path is suggested it can be seen from above description, then root
Determine about whether vehicle order is cheating order according to the true driving information of driver and the comparison result of the control driving information, from
And efficiently and accurately identify cheating order.
It is separately below acceleration as the control duration of first predetermined value and suggestion driving path to compare driving information
For in terms of upper each path segments are control driving trace two corresponding, the realization process of the application is specifically described.
One, control driving information is the control duration that acceleration is first predetermined value
Referring to FIG. 2, the recognition methods for order of practising fraud in the present embodiment, in network about parking lot scape may include following step
It is rapid:
Step 202, determine that acceleration is first pair of the first predetermined value according to the congestion information of suggestion driving path
It is long according to the period of the day from 11 p.m. to 1 a.m.
In the present embodiment, the first predetermined value can be configured by developer, subsequent predetermined with described first
Value is described for 0.Certainly, the first predetermined value may be other numerical value, for example, the first predetermined value can also
To be a lesser value, the application is not particularly limited this.
In the present embodiment, acceleration is 0 usually there are two types of situation, and a kind of situation is stationary state, another situation is that
Drive at a constant speed state.In practical applications, since the speed of vehicle driving is by the shadow of many factors such as road conditions, traffic condition
It rings, vehicle is difficult the driving status that remains a constant speed.It therefore, is usually all static state when the acceleration of vehicle is 0.
In the present embodiment, it can determine that driver fulfils the whole process of order according to the congestion information of driving path is suggested
In cause acceleration to be 0 duration due to congestion, for convenient for distinguishing, which can be known as the first control period of the day from 11 p.m. to 1 a.m by the application
It is long.
Such as, it is proposed that the whole unimpeded no congestion of driving path, then it is usually 0 that the first control period of the day from 11 p.m. to 1 a.m is long.
In another example, it is proposed that driving path has 500 meters of congestions, then can be true according to the length of congestion level and congested link
The fixed first control period of the day from 11 p.m. to 1 a.m is long.As an example it is assumed that this 500 meters congestion level is slight congestion (can correspond to low running speed),
Then the first control period of the day from 11 p.m. to 1 a.m length may be also 0；Assume that this 500 meters congestion level is heavy congestion again, is then gathered around in combination with this
The passage rate in stifled section determines that the first control period of the day from 11 p.m. to 1 a.m is long, and the application is not particularly limited this.
Significantly, since road congestion conditions usually change with the variation of time, to ensure the first control
The long accuracy of the period of the day from 11 p.m. to 1 a.m, for the path not yet driven to, the control period of the day from 11 p.m. to 1 a.m that the acceleration that can recalculate it is 0 is long, into
And update the first control period of the day from 11 p.m. to 1 a.m is long, and such as: it periodically recalculates etc., the present embodiment is not particularly limited this.
Step 204, determine that acceleration is the of the first predetermined value according to the intersection information for suggesting driving path
The two control period of the day from 11 p.m. to 1 a.m are long.
In the present embodiment, the intersection information for suggesting driving path may include: red light duration.When some crossing does not have
When having traffic lights, red light duration can be 0.
In the present embodiment, it can determine according to the intersection information of driving path is suggested according to suggestion driving path traveling
Since equal red lights cause acceleration to be 0 duration in whole process, for convenient for distinguishing, which can be known as second by the application
It is long to compare the period of the day from 11 p.m. to 1 a.m.
For example, the sum of each crossing red light duration in the suggestion driving path can be calculated as the second control
Duration.Certainly, during actual travel, the probability that each crossing encounters red light is lower, so can also be by each road
The sum of lipstick lamp duration multiplies at a predetermined ratio, long to obtain the second control period of the day from 11 p.m. to 1 a.m, such as: 0.7,0.8 etc..
Step 206, the first control period of the day from 11 p.m. to 1 a.m is long long plus the second control period of the day from 11 p.m. to 1 a.m, obtaining acceleration is described the
The control duration of one predetermined value.
In this example, it is assumed that described first control the period of the day from 11 p.m. to 1 a.m a length of 2 minutes, described second control the period of the day from 11 p.m. to 1 a.m a length of 5 minutes,
The control duration that so acceleration is 0 is 7 minutes.
Step 208, determine that acceleration is the first predetermined value according to the acceleration information for receiving the upload of driver's client
Practical duration.
In the present embodiment, driver's client can be obtained periodically from end sensor during fulfiling about vehicle order
It takes the acceleration of terminal and uploads to about Che Pingtai, such as: it can be by way of bury a little to program, so that driver's client
Periodically (such as 5 seconds, 8 seconds etc.) acceleration can be obtained.Since during vehicle driving, the terminals such as mobile phone are usually placed
In vehicle, it is possible to which the acceleration of the terminal is determined as to the acceleration of vehicle driving.
The acceleration that about vehicle platform can periodically be uploaded according to driver's client determines that acceleration is 0 practical duration.It lifts
For example, it is assumed that the acceleration upload period is 5 seconds, and the acceleration that driver's client was uploaded at 0 second is 0, in the acceleration that 5 seconds upload
Degree is 0, is not 0 in the acceleration that 10 seconds upload, then can determine in 0-10 seconds, acceleration be 0 practical duration at least
It is 5 seconds.Certainly, in practical applications, the acceleration uploaded according to driver's client can also be determined using other modes and be accelerated
The practical duration that degree is 0, the present embodiment are not particularly limited this.
In the present embodiment, it is obtained from the sensor of terminal due to the acceleration information by driver's client, accurately
Degree is higher, it is possible to prevente effectively from the problems such as running datas such as rogue program analog rate lead to not identification cheating order.
Step 210, judge acceleration for the exhausted of the practical duration of the first predetermined value and the difference for compareing duration
Whether difference threshold is greater than to value.If so, thening follow the steps 212.
In the present embodiment, the practical duration that acceleration is 0 and the difference for compareing duration can be calculated, then by the difference
Absolute value and difference threshold be compared.In general, Ruo Yueche order is true order, driver is according to suggestion driving path
Order is fulfiled, then acceleration is 0 in whole driving process practical duration and the difference for compareing duration are smaller.If difference compared with
Greatly, can illustrate that the time of vehicle stationary state is very long, can determine that as exception, driver be likely to defraud of with order of practising fraud it is preferential, and
Oneself but stops vehicle to rest on one side.
As a result, in this step, when the absolute value of the difference is less than or equal to the difference threshold, it can determine that driver fulfils
About vehicle order, about vehicle order is not cheating order for this.When the absolute value of the difference is greater than the difference threshold, step can be executed
Rapid 212.
In the present embodiment, the difference threshold can be configured by developer, can be fixed value, such as: 10
Minute, 20 minutes etc..The difference threshold may be the numerical value of dynamic change, such as: the difference threshold and running time
It is positively correlated.When longer between when running, the absolute value of the difference of practical duration and control duration that acceleration is 0 may be larger,
And then relatively large difference threshold can be set；When shorter between when running, practical duration and control duration that acceleration is 0
Difference absolute value it is usually smaller, and then relatively small difference threshold can be set, the application is not particularly limited this.
Step 212, determine that the about vehicle order is cheating order.
Based on the judging result of abovementioned steps 210, if acceleration be the first predetermined value practical duration with it is described right
It is greater than difference threshold according to the absolute value of the difference of duration, then can determines that corresponding about vehicle order is cheating order, about Che Pingtai
And then can take appropriate measures, such as: driver is negatively marked, is cancelled to the about reward of vehicle order etc., this Shen
Please this is not particularly limited.
The acceleration that can be got from the sensor of terminal by driver's client by the application it can be seen from above description
It spends to carry out the judgement of cheating order, since the acceleration value in sensor is not easy software simulation of being practised fraud, the application
The cheating order decision scheme accuracy of offer is higher, and the identification accurate and effective to cheating order may be implemented.
It is worth noting that, in practical applications, after about vehicle platform is that about vehicle order generates suggestion driving path, driver
It may not be travelled according to the suggestion driving path.Can be again after driver, which deviates, suggests driving path according to the relevant technologies
It carries out path planning.And suggestion driving path of the application for determining control driving information is and driver's actual travel path
The suggestion driving path to match is not necessarily the suggestion driving path generated for the first time according to start position and final position, may
It is that the driving path obtained after planning is re-started according to the true path of vehicle driving, the application is not particularly limited this.
On the other hand, the execution that the present embodiment is not intended to limit between abovementioned steps 202, step 204 and step 208 is suitable
Sequence.In another example, about vehicle platform can first carry out step 204, and the application is not particularly limited this.
Two, control driving information is the corresponding control driving trace of each path segments on suggestion driving path
Currently, some cheating softwares can simulate the driving path of about vehicle order, cheating is ordered to increase about vehicle platform
The difficulty singly identified.Cheating software is often consistent to the simulation of driving path with the true form in path, for example, if traveling
Path is straight line, then the driving path that cheating software simulates also can be straight line.However, in practical applications, for doubling
It the factors such as overtakes other vehicles, even on straight road, the driving trace of vehicle is also impossible to be entirely straight line.This implementation as a result,
Example can carry out the knowledge of cheating order based on the driving trace coordinate of driver's client upload and the control driving trace in path
Not.
Referring to FIG. 3, the recognition methods for order of practising fraud in the present embodiment, in network about parking lot scape may include following step
It is rapid:
Step 302, it will suggest that driving path is divided into one or more path segments.
In the present embodiment, the suggestion driving path of generation is usually the set of multiple locating point position coordinates.Carry out
When segmentation, three adjacent anchor points can be first chosen, then can calculate interfix point and other two anchor point composition
The angle of vector, and then determine whether for these three anchor points to be divided into same path segments according to vector angle.
Please refer to the example of Fig. 4, it is assumed that this 3 points of A point, B point, C point are 3 adjacent positioning on suggestion driving path
Point can calculate the angle between vector AB and vector BC according to the position coordinates of A point, B point, C point this 3 points.
If angle is greater than predetermined angle, it can determine that this 3 points of A point, B point, C point belong to the same path segments, into
And it is divided into the same path segments.In the example of fig. 4, the angle between vector AB and vector BC is 180 degree, greatly
In predetermined angle, and then it can determine that this 3 points of A point, B point, C point belong to the same path segments.
If angle is less than predetermined angle, it can determine that this 3 points of A point, B point, C point are not belonging to the same path segments,
And then can be segmented using B point as inflection point, A point and C point are divided into different path segments.It is of course also possible to A point
Or C point is that inflection point is segmented, the present embodiment is not particularly limited this.In the example of hgure 5, between vector AB and vector BC
Angle be 90 degree, be less than predetermined angle, and then can determine that this 3 points of A point, B point, C point are not belonging to the same path segments,
Then it is segmented.
Wherein, above-mentioned predetermined angle can be configured by developer according to real road situation, such as: 120 degree,
1335 degree etc..
Certainly, in practical applications, suggestion driving path can also be segmented using other modes, the present embodiment pair
This is not particularly limited.
Step 304, for each path segments, the control fitting function of the path segments is calculated, as the path segments
Control driving trace.
It, for each path segments, can be calculated after to suggesting that driving path is segmented based on abovementioned steps 302
The fitting function of each anchor point in the path segments generates fitting function based on anchor point each in the path segments, with
Control driving trace as the path segments.
It in the present embodiment, can be using the modes digital simulation functions such as least square method, Bezier algorithm, the present embodiment
This is not particularly limited.
It can be respectively to suggest that each path segments on driving path generate control driving trace based on this step.It is false
If, it is proposed that driving path includes 4 path segments, generates 4 control driving traces then can correspond to.
Step 306, the position coordinates that driver's client uploads in fulfiling order process are received.
In the present embodiment, driver's client can periodically obtain the position of terminal during fulfiling about vehicle order
Coordinate, and about Che Pingtai is uploaded to, such as: it can be by way of bury a little to program, so that driver's client can be regular
(such as 5 seconds, 8 seconds etc.) obtain position coordinates and upload.
Step 308, for each path segments, the position coordinates for belonging to the path segments and control row are calculated separately
Sail the error of track.
Based on abovementioned steps 304 and 306, for each path segments, about vehicle platform, which can calculate, belongs to the path segments
Position coordinates and it is described control driving trace error.
In the present embodiment, the position coordinates uploaded for driver's client, can first determine belonging to the position coordinates
Then path segments calculate above-mentioned error again.
In one example, determine that the process of position coordinates said path segmentation can refer to abovementioned steps 302 and step
Process in 304 to suggest driving path segmentation, it can segment processing is carried out to the position coordinates that driver's client uploads, with
The true driving path that driver's client is uploaded is divided into one or more path segments, then by the path segments after division
It is carried out with the path segments of suggestion driving path corresponding.
In another example, for driver's client upload position coordinates, can calculate on suggestion driving path with
The position coordinates are apart from nearest anchor point, the position that then uploads path segments belonging to the anchor point as driver's client
Set path segments belonging to coordinate.
It is, of course, also possible to path segments belonging to the position coordinates of driver's client upload are determined using other modes, this
Embodiment is not particularly limited this.
In the present embodiment, can with the distance between the control driving trace that calculating position coordinate to said path is segmented,
Then calculate all position coordinates in the path segments to the distance between the control driving trace average value, as the path
The error of position coordinates and control driving trace in segmentation.
Referring to FIG. 6, line segment AC is the suggestion walking along the street diameter in the path still by taking suggestion driving path shown in fig. 5 as an example
Control driving trace in segmentation.A1 point, B1 point, C1 point are corresponding with the position coordinates that driver's client uploads respectively.In this example
In, can calculate this 3 points of A1 point, B1 point, C1 point to straight line where line segment AC distance, it is assumed that corresponding distance is respectively
L1, L2 and L3, then can be in the hope of L1, L2 and L3 average value, as position coordinates in the path segments and control traveling rail
The error of mark.
The exemplary only explanation of Fig. 6, in practical applications, the control driving trace of each path segments may also be song
Line, this is no longer going to repeat them for the present embodiment.
Step 310, according to the error calculation mean error of each path segments.
Step 312, when the mean error is less than error threshold, determine that the about vehicle order is cheating order.
Assuming that, it is proposed that driving path includes 4 path segments, then position coordinates in this 4 path segments can be calculated
With the average value of the error of control driving trace, i.e. mean error.
In the present embodiment, the identification of cheating order can be carried out according to the relationship between mean error and error threshold.
In general, if mean error is more than or equal to error threshold, it may be considered that during fulfiling order, in driver's client
The driving path of biography and the true form difference of suggestion driving path are larger, are more conform with the track of vehicle actual travel, in turn
It can determine that about vehicle order is not cheating order.If mean error is less than error threshold, it may be considered that in the mistake for fulfiling order
Cheng Zhong, the true form of driving path and suggestion driving path that driver's client uploads relatively, do not meet vehicle reality
The track of traveling, it is most likely that be the driving trace of cheating software simulation, and then can determine that about vehicle order is cheating order.
Wherein, the error threshold can be configured by developer, such as: 5 meters, 10 meters etc., the present embodiment is to this
It is not particularly limited.
By the position that the application it can be seen from above description can be uploaded in fulfiling about vehicle order process by driver's client
It sets coordinate and compares the judgement that the error between driving trace carries out cheating order, and then realize accurate and effective to cheating order
Identification.
Optionally, in another example, the realization side being segmented based on the position coordinates uploaded to driver's client
Case can also calculate the position coordinates uploaded to driver's client and carry out being segmented obtained number of fragments, if the number of fragments
More than or equal to preset quantity, such as: 20,30 etc., the form path that usual driver's client uploads is more conform with the practical row of vehicle
The track sailed, and then can determine that about vehicle order is not cheating order.It no longer needs to carry out error calculation, saves the place of about vehicle platform
Manage resource.
If the number of fragments is less than preset quantity, above-mentioned calculating control fitting function can be executed, calculate error, identification
The step of cheating order.
On the other hand, the present embodiment is not intended to limit between abovementioned steps 302 and step 306 and executes sequence.Another
In a example, about vehicle platform can first carry out step 306, or be performed simultaneously step 302 and step 306 using parallel thread,
The application is not particularly limited this.
Corresponding with the cheating embodiment of recognition methods of order in aforementioned network about parking lot scape, present invention also provides nets
The embodiment of the identification device of cheating order in network about parking lot scape.
The embodiment of the identification device of cheating order can be applied on about vehicle platform in the application network about parking lot scape.Dress
Setting embodiment can also be realized by software realization by way of hardware or software and hardware combining.It is implemented in software to be
Example, as the device on a logical meaning, being will be right in nonvolatile memory by the processor of about vehicle platform where it
The computer program instructions answered are read into memory what operation was formed.For hardware view, as shown in fig. 7, being the application net
A kind of hardware structure diagram of the identification device place about vehicle platform of cheating order in network about parking lot scape, in addition to processing shown in Fig. 7
Except device, memory, network interface and nonvolatile memory, the about vehicle platform in embodiment where device is generally according to this
The about actual functional capability of vehicle platform can also include other hardware, repeat no more to this.
Referring to FIG. 8, the identification device 700 for order of practising fraud in the network about parking lot scape can be applied in 7 institute of earlier figures
In the about vehicle platform shown, include: coordinates measurement unit 701, control information determination unit 702, real information determination unit 703
And cheating judging unit 704.
Wherein, coordinates measurement unit 701 generates according to start position and final position for about vehicle order and suggests traveling
Path.
In the present embodiment, for the about vehicle order of driver's order, about vehicle platform can be according to start position and terminal
Position, which generates, suggests driving path, such as: described suggestions driving path etc. is generated by invocation map interface, the processing of this part and
Realization is referred to the relevant technologies, and this is no longer going to repeat them by the application.
Information determination unit 702 is compareed, control driving information is determined according to the suggestion driving path.
In the present embodiment, the control driving information is carried out for true driving information corresponding with the about vehicle order
Comparison, to determine, about whether vehicle order is cheating order.The control driving information may include: that acceleration is first predetermined value
Control duration, suggest corresponding control driving trace of each path segments etc. on driving path, it is special that the application does not make this
Limitation.
Real information determination unit 703 determines the corresponding true driving information of the about vehicle order.
In the present embodiment, about vehicle platform can receive driver's client this about vehicle order carry out during upload it is each
Then class running data determines the about corresponding true driving information of vehicle order according to running data, such as: acceleration is described
Practical duration of first predetermined value etc..
Cheating judging unit 704, determines that the about vehicle is ordered according to the true driving information and the control driving information
Whether single be cheating order.
The application can determine control driving information according to driving path is suggested it can be seen from above description, then root
Determine about whether vehicle order is cheating order according to the true driving information of driver and the comparison result of the control driving information, from
And efficiently and accurately identify cheating order.
Optionally, the control driving information includes: the control duration that acceleration is first predetermined value；
The true driving information includes: the practical duration that acceleration is the first predetermined value；
The cheating judging unit 704 compares duration with described in the practical duration that acceleration is the first predetermined value
Difference absolute value be greater than difference threshold when, determine the about vehicle order be cheating order.
Optionally, the control information determination unit 702,
The first control that acceleration is the first predetermined value is determined according to the congestion information for suggesting driving path
Duration；
The second control that acceleration is the first predetermined value is determined according to the intersection information for suggesting driving path
Duration；
The first control period of the day from 11 p.m. to 1 a.m is long long plus the second control period of the day from 11 p.m. to 1 a.m, and obtaining acceleration is the first predetermined value
Control duration.
Optionally, the real information determination unit 703 determines according to the acceleration information that driver's client uploads and accelerates
Degree is the practical duration of the first predetermined value；Wherein, the acceleration information is obtained by driver's client from the sensor of terminal
It takes.
Optionally, the first predetermined value is 0.
The acceleration that can be got from the sensor of terminal by driver's client by the application it can be seen from above description
It spends to carry out the judgement of cheating order, since the acceleration value in sensor is not easy software simulation of being practised fraud, the application
The cheating order decision scheme accuracy of offer is higher, and the identification accurate and effective to cheating order may be implemented.
Optionally, the control driving information includes: the corresponding control of each path segments on the suggestion driving path
Driving trace；
The true driving information includes: the position coordinates that driver's client uploads in fulfiling order process；
The cheating judging unit 704 calculates separately the position coordinates for belonging to the path segments for each path segments
With the error of the control driving trace；According to the error calculation mean error of each path segments；When the mean error is small
When error threshold, determine that the about vehicle order is cheating order.
Optionally, the suggestion driving path is divided into one or more paths by the control information determination unit 702
Segmentation；For each path segments, the control fitting function of the path segments is calculated, the control as the path segments travels rail
Mark.
Optionally, the real information determination unit 703 calculates separately and belongs to each position coordinates of the path segments and arrive
The distance of the control driving trace；Calculate the average departure for belonging to the position coordinates of the path segments to the control driving trace
From as the error.
Optionally, the cheating judging unit 704, the road of true driving path is determined also according to the true driving information
Diameter number of fragments；When the path segments quantity is more than or equal to preset quantity, according to the true driving information and described right
Determine whether the about vehicle order is cheating order according to driving information.
By the position that the application it can be seen from above description can be uploaded in fulfiling about vehicle order process by driver's client
It sets coordinate and compares the judgement that the error between driving trace carries out cheating order, and then realize accurate and effective to cheating order
Identification.
The function of each unit and the realization process of effect are specifically detailed in the above method and correspond to step in above-mentioned apparatus
Realization process, details are not described herein.
For device embodiment, since it corresponds essentially to embodiment of the method, so related place is referring to method reality
Apply the part explanation of example.The apparatus embodiments described above are merely exemplary, wherein described be used as separation unit
The unit of explanation may or may not be physically separated, and component shown as a unit can be or can also be with
It is not physical unit, it can it is in one place, or may be distributed over multiple network units.It can be according to actual
The purpose for needing to select some or all of the modules therein to realize application scheme.Those of ordinary skill in the art are not paying
Out in the case where creative work, it can understand and implement.
System, device, module or the unit that above-described embodiment illustrates can specifically realize by computer chip or entity,
Or it is realized by the product with certain function.A kind of typically to realize that equipment is computer, the concrete form of computer can
To be personal computer, laptop computer, cellular phone, camera phone, smart phone, personal digital assistant, media play
In device, navigation equipment, E-mail receiver/send equipment, game console, tablet computer, wearable device or these equipment
The combination of any several equipment.
Corresponding with the cheating embodiment of recognition methods of order in aforementioned network about parking lot scape, this specification also provides one
The identification device for order of practising fraud in network about parking lot scape is planted, the identification device for order of practising fraud in the network about parking lot scape includes: place
Manage device and the memory for storing machine-executable instruction.Wherein, processor and memory are usually by internal bus phase
It connects.In other possible implementations, the equipment is also possible that external interface, with can with other equipment or
Component is communicated.
In the present embodiment, by reading and executing memory storage and order of practising fraud in network about parking lot scape
The corresponding machine-executable instruction of recognition logic, the processor are prompted to:
For about vehicle order, is generated according to start position and final position and suggest driving path；
Control driving information is determined according to the suggestion driving path；
Determine the corresponding true driving information of the about vehicle order；
Determine whether the about vehicle order is cheating order according to the true driving information and the control driving information.
Optionally, the control driving information includes: the control duration that acceleration is first predetermined value；
The true driving information includes: the practical duration that acceleration is the first predetermined value；
Determining that the about vehicle is ordered according to the corresponding true driving information of the about vehicle order and the control driving information
Whether single be when practising fraud order, and the processor is prompted to:
When practical duration and the absolute value of the difference for compareing duration that acceleration is the first predetermined value are greater than poor
When being worth threshold value, determine that the about vehicle order is cheating order.
Optionally, when determining control driving information according to the suggestion driving path, the processor is prompted to:
The first control that acceleration is the first predetermined value is determined according to the congestion information for suggesting driving path
Duration；
The second control that acceleration is the first predetermined value is determined according to the intersection information for suggesting driving path
Duration；
The first control period of the day from 11 p.m. to 1 a.m is long long plus the second control period of the day from 11 p.m. to 1 a.m, and obtaining acceleration is the first predetermined value
Control duration.
Optionally, when determining the corresponding true driving information of the about vehicle order, the processor is prompted to:
Determine that acceleration is the practical duration of the first predetermined value according to the acceleration information that driver's client uploads；Its
In, the acceleration information is obtained by driver's client from the sensor of terminal.
Optionally, the first predetermined value is 0.
Optionally, the control driving information includes: the corresponding control of each path segments on the suggestion driving path
Driving trace；
The true driving information includes: the position coordinates that driver's client uploads in fulfiling order process；
Determining that the about vehicle is ordered according to the corresponding true driving information of the about vehicle order and the control driving information
Whether single be when practising fraud order, and the processor is prompted to:
For each path segments, the position coordinates that belong to the path segments and the control driving trace are calculated separately
Error；
According to the error calculation mean error of each path segments；
When the mean error is less than error threshold, determine that the about vehicle order is cheating order.
Optionally, when determining control driving information according to the suggestion driving path, the processor is prompted to:
The suggestion driving path is divided into one or more path segments；
For each path segments, the control fitting function of the path segments is calculated, the control row as the path segments
Sail track.
Optionally, described when calculating the error of the position coordinates for belonging to the path segments and the control driving trace
Processor is prompted to:
Calculate separately the distance for belonging to each position coordinates of the path segments to the control driving trace；
The average distance for belonging to the position coordinates of the path segments to the control driving trace is calculated, as the mistake
Difference.
Optionally, the processor is also prompted to:
The path segments quantity of true driving path is determined according to the true driving information；
Judge whether the path segments quantity is more than or equal to preset quantity；
If the path segments quantity is more than or equal to the preset quantity, execute according to the true driving information and institute
State control driving information determines the step of whether about vehicle order is cheating order.
Corresponding with the cheating embodiment of recognition methods of order in aforementioned network about parking lot scape, this specification also provides one
Computer readable storage medium is planted, is stored with computer program on the computer readable storage medium, the program is by processor
It is performed the steps of when execution
For about vehicle order, is generated according to start position and final position and suggest driving path；
Control driving information is determined according to the suggestion driving path；
Determine the corresponding true driving information of the about vehicle order；
Determine whether the about vehicle order is cheating order according to the true driving information and the control driving information.
Optionally, the control driving information includes: the control duration that acceleration is first predetermined value；
The true driving information includes: the practical duration that acceleration is the first predetermined value；
It is described that the about vehicle is determined according to the corresponding true driving information of the about vehicle order and the control driving information
Whether order is cheating order, comprising:
When practical duration and the absolute value of the difference for compareing duration that acceleration is the first predetermined value are greater than poor
When being worth threshold value, determine that the about vehicle order is cheating order.
It is optionally, described that control driving information is determined according to the suggestion driving path, comprising:
The first control that acceleration is the first predetermined value is determined according to the congestion information for suggesting driving path
Duration；
The second control that acceleration is the first predetermined value is determined according to the intersection information for suggesting driving path
Duration；
The first control period of the day from 11 p.m. to 1 a.m is long long plus the second control period of the day from 11 p.m. to 1 a.m, and obtaining acceleration is the first predetermined value
Control duration.
Optionally, the corresponding true driving information of the determination about vehicle order, comprising:
Determine that acceleration is the practical duration of the first predetermined value according to the acceleration information that driver's client uploads；Its
In, the acceleration information is obtained by driver's client from the sensor of terminal.
Optionally, the first predetermined value is 0.
Optionally, the control driving information includes: the corresponding control of each path segments on the suggestion driving path
Driving trace；
The true driving information includes: the position coordinates that driver's client uploads in fulfiling order process；
It is described that the about vehicle is determined according to the corresponding true driving information of the about vehicle order and the control driving information
Whether order is cheating order, comprising:
For each path segments, the position coordinates that belong to the path segments and the control driving trace are calculated separately
Error；
According to the error calculation mean error of each path segments；
When the mean error is less than error threshold, determine that the about vehicle order is cheating order.
It is optionally, described that control driving information is determined according to the suggestion driving path, comprising:
The suggestion driving path is divided into one or more path segments；
For each path segments, the control fitting function of the path segments is calculated, the control row as the path segments
Sail track.
Optionally, the error for calculating the position coordinates for belonging to the path segments and the control driving trace, comprising:
Calculate separately the distance for belonging to each position coordinates of the path segments to the control driving trace；
The average distance for belonging to the position coordinates of the path segments to the control driving trace is calculated, as the mistake
Difference.
Optionally, the path segments quantity of true driving path is determined according to the true driving information；
Judge whether the path segments quantity is more than or equal to preset quantity；
If the path segments quantity is more than or equal to the preset quantity, execute according to the true driving information and institute
State control driving information determines the step of whether about vehicle order is cheating order.
It is above-mentioned that this specification specific embodiment is described.Other embodiments are in the scope of the appended claims
It is interior.In some cases, the movement recorded in detail in the claims or step can be come according to the sequence being different from embodiment
It executes and desired result still may be implemented.In addition, process depicted in the drawing not necessarily require show it is specific suitable
Sequence or consecutive order are just able to achieve desired result.In some embodiments, multitasking and parallel processing be also can
With or may be advantageous.
The foregoing is merely the preferred embodiments of the application, not to limit the application, all essences in the application
Within mind and principle, any modification, equivalent substitution, improvement and etc. done be should be included within the scope of the application protection.
Claims (20)
1. the recognition methods for order of practising fraud in a kind of network about parking lot scape characterized by comprising
For about vehicle order, is generated according to start position and final position and suggest driving path；
Control driving information is determined according to the suggestion driving path；
Determine the corresponding true driving information of the about vehicle order；
Determine whether the about vehicle order is cheating order according to the true driving information and the control driving information.
2. the method according to claim 1, wherein
The control driving information includes: the control duration that acceleration is first predetermined value；
The true driving information includes: the practical duration that acceleration is the first predetermined value；
It is described that the about vehicle order is determined according to the corresponding true driving information of the about vehicle order and the control driving information
It whether is cheating order, comprising:
When the practical duration that acceleration is the first predetermined value is greater than difference threshold with the absolute value of the difference for compareing duration
When value, determine that the about vehicle order is cheating order.
3. according to the method described in claim 2, it is characterized in that, described determine control traveling according to the suggestion driving path
Information, comprising:
Determine that the first control period of the day from 11 p.m. to 1 a.m that acceleration is the first predetermined value is long according to the congestion information for suggesting driving path；
Determine that the second control period of the day from 11 p.m. to 1 a.m that acceleration is the first predetermined value is long according to the intersection information for suggesting driving path；
The first control period of the day from 11 p.m. to 1 a.m is long long plus the second control period of the day from 11 p.m. to 1 a.m, obtain pair that acceleration is the first predetermined value
According to duration.
4. according to the method described in claim 2, it is characterized in that, the corresponding true traveling letter of the determination about vehicle order
Breath, comprising:
Determine that acceleration is the practical duration of the first predetermined value according to the acceleration information that driver's client uploads；Wherein,
The acceleration information is obtained by driver's client from the sensor of terminal.
5. according to the method described in claim 2, it is characterized in that,
The first predetermined value is 0.
6. the method according to claim 1, wherein
The control driving information includes: the corresponding control driving trace of each path segments on the suggestion driving path；
The true driving information includes: the position coordinates that driver's client uploads in fulfiling order process；
It is described that the about vehicle order is determined according to the corresponding true driving information of the about vehicle order and the control driving information
It whether is cheating order, comprising:
For each path segments, the mistake of the position coordinates for belonging to the path segments and the control driving trace is calculated separately
Difference；
According to the error calculation mean error of each path segments；
When the mean error is less than error threshold, determine that the about vehicle order is cheating order.
7. according to the method described in claim 6, it is characterized in that, described determine control traveling according to the suggestion driving path
Information, comprising:
The suggestion driving path is divided into one or more path segments；
For each path segments, the control fitting function of the path segments is calculated, the control as the path segments travels rail
Mark.
8. the method according to the description of claim 7 is characterized in that described calculate position coordinates and the institute for belonging to the path segments
State the error of control driving trace, comprising:
Calculate separately the distance for belonging to each position coordinates of the path segments to the control driving trace；
The average distance for belonging to the position coordinates of the path segments to the control driving trace is calculated, as the error.
9. according to the method described in claim 6, it is characterized by further comprising:
The path segments quantity of true driving path is determined according to the true driving information；
Judge whether the path segments quantity is more than or equal to preset quantity；
If the path segments quantity is more than or equal to the preset quantity, execute according to the true driving information and described right
The step of whether about vehicle order is cheating order determined according to driving information.
10. the identification device for order of practising fraud in a kind of network about parking lot scape characterized by comprising
Coordinates measurement unit generates according to start position and final position for about vehicle order and suggests driving path；
Information determination unit is compareed, control driving information is determined according to the suggestion driving path；
Real information determination unit determines the corresponding true driving information of the about vehicle order；
Practise fraud judging unit, according to the true driving information and the control driving information determine the about vehicle order whether be
Cheating order.
11. device according to claim 10, which is characterized in that
The control driving information includes: the control duration that acceleration is first predetermined value；
The true driving information includes: the practical duration that acceleration is the first predetermined value；
The cheating judging unit, in the practical duration that acceleration is the first predetermined value and the difference for compareing duration
When absolute value is greater than difference threshold, determine that the about vehicle order is cheating order.
12. device according to claim 11, which is characterized in that the control information determination unit,
Determine that the first control period of the day from 11 p.m. to 1 a.m that acceleration is the first predetermined value is long according to the congestion information for suggesting driving path；
Determine that the second control period of the day from 11 p.m. to 1 a.m that acceleration is the first predetermined value is long according to the intersection information for suggesting driving path；
The first control period of the day from 11 p.m. to 1 a.m is long long plus the second control period of the day from 11 p.m. to 1 a.m, obtain pair that acceleration is the first predetermined value
According to duration.
13. device according to claim 11, which is characterized in that
The real information determination unit determines that acceleration is described first pre- according to the acceleration information that driver's client uploads
The practical duration of definite value；Wherein, the acceleration information is obtained by driver's client from the sensor of terminal.
14. device according to claim 11, which is characterized in that
The first predetermined value is 0.
15. device according to claim 10, which is characterized in that
The control driving information includes: the corresponding control driving trace of each path segments on the suggestion driving path；
The true driving information includes: the position coordinates that driver's client uploads in fulfiling order process；
The cheating judging unit calculates separately position coordinates for belonging to the path segments and described for each path segments
Compare the error of driving trace；According to the error calculation mean error of each path segments；When the mean error is less than error
When threshold value, determine that the about vehicle order is cheating order.
16. device according to claim 15, which is characterized in that
Information determination unit is compareed, the suggestion driving path is divided into one or more path segments；For each path
Segmentation, calculates the control fitting function of the path segments, the control driving trace as the path segments.
17. device according to claim 16, which is characterized in that
The real information determination unit calculates separately and belongs to each position coordinates of the path segments and travel rail to the control
The distance of mark；The average distance for belonging to the position coordinates of the path segments to the control driving trace is calculated, as the mistake
Difference.
18. device according to claim 15, which is characterized in that
The cheating judging unit determines the path segments quantity of true driving path also according to the true driving information；?
When the path segments quantity is more than or equal to preset quantity, determined according to the true driving information and the control driving information
Whether the about vehicle order is cheating order.
19. the identification device for order of practising fraud in a kind of network about parking lot scape characterized by comprising
Processor；
For storing the memory of machine-executable instruction；
Wherein, by reading and executing the corresponding with the recognition logic of order of practising fraud in network about parking lot scape of the memory storage
Machine-executable instruction, the processor is prompted to:
For about vehicle order, is generated according to start position and final position and suggest driving path；
Control driving information is determined according to the suggestion driving path；
Determine the corresponding true driving information of the about vehicle order；
Determine whether the about vehicle order is cheating order according to the true driving information and the control driving information.
20. a kind of computer readable storage medium, which is characterized in that be stored with computer on the computer readable storage medium
Program, the program perform the steps of when being executed by processor
For about vehicle order, is generated according to start position and final position and suggest driving path；
Control driving information is determined according to the suggestion driving path；
Determine the corresponding true driving information of the about vehicle order；
Determine whether the about vehicle order is cheating order according to the true driving information and the control driving information.
Priority Applications (10)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711058496.8A CN109756845B (en) | 2017-11-01 | 2017-11-01 | Method and device for identifying cheating orders in network taxi appointment scene |
| AU2018290417A AU2018290417A1 (en) | 2017-06-28 | 2018-05-23 | Systems and methods for cheat examination |
| AU2018102202A AU2018102202A4 (en) | 2017-06-28 | 2018-05-23 | Systems and methods for cheat examination |
| PCT/CN2018/087995 WO2019001178A1 (en) | 2017-06-28 | 2018-05-23 | Systems and methods for cheat examination |
| CA3029349A CA3029349A1 (en) | 2017-06-28 | 2018-05-23 | Systems and methods for cheat examination |
| SG11201811690TA SG11201811690TA (en) | 2017-06-28 | 2018-05-23 | Systems and methods for cheat examination |
| CN201880002658.2A CN109429520B (en) | 2017-06-28 | 2018-05-23 | Method, system, device and readable medium for checking cheating service orders |
| JP2018568259A JP6774153B2 (en) | 2017-06-28 | 2018-05-23 | Systems and methods for fraud inspection |
| EP18819302.3A EP3461295A4 (en) | 2017-06-28 | 2018-05-23 | Systems and methods for cheat examination |
| US16/236,617 US20190139070A1 (en) | 2017-06-28 | 2018-12-30 | Systems and methods for cheat examination |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711058496.8A CN109756845B (en) | 2017-11-01 | 2017-11-01 | Method and device for identifying cheating orders in network taxi appointment scene |
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| CN109756845A true CN109756845A (en) | 2019-05-14 |
| CN109756845B CN109756845B (en) | 2020-12-08 |
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| CN201711058496.8A Active CN109756845B (en) | 2017-06-28 | 2017-11-01 | Method and device for identifying cheating orders in network taxi appointment scene |
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| CN109756845B (en) | 2020-12-08 |
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