CN109767298B - Method and system for passenger driver safety matching - Google Patents
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Abstract
The invention has proposed a passenger driver's security matched method and system, the said method includes GPS positioning step, driver portrait step, user portrait step and security matching step, enter GPS positioning step at first, then carry on said driver portrait step and user portrait step at the same time, enter the security matching step finally; a safety matching step: and screening the drivers from the screening queue based on the number of taxi taking people input by the user, taxi taking time, the travel route obtained in the GPS positioning step, the criminal probability of the drivers obtained in the driver portrait step and the acceptable infringement degree of the users obtained in the user portrait step, and carrying out safety matching on the passengers and the drivers. The method can improve the safety of taxi taking and traveling and reduce the probability of crime in the taxi taking process.
Description
Technical Field
The invention relates to the technical field of internet, in particular to a passenger driver safety matching method and a passenger driver safety matching system.
Background
With the rapid development of the mobile internet, the taxi taking software utilizes the development trend of the mobile internet, breaks through the traditional taxi taking mode of stopping a taxi or reserving a taxi by a telephone, changes taxi taking when a user goes out into taxi taking at any time, greatly facilitates the user, and becomes a more mainstream mode for passengers to go out at present.
At present, the matching mechanism of drivers and customers of mainstream products only considers the problems of price estimation, time estimation, optimal path matching and the like, the safety problem is neglected, and for passengers, if the matched probability of crime of the drivers is higher and the acceptable offensiveness of the passengers is lower, the serious safety problem exists.
Disclosure of Invention
The invention aims to solve the technical problem of passenger and driver safety matching of taxi taking software.
In order to solve the above problems, the embodiment of the invention discloses a passenger driver safety matching method, which comprises a GPS positioning step, a driver portrait step, a user portrait step and a safety matching step, wherein the GPS positioning step is firstly carried out, then the driver portrait step and the user portrait step are carried out simultaneously, and finally the safety matching step is carried out; wherein,
GPS positioning, obtaining departure place information and destination information of a user, constructing a travel route, and adding drivers conforming to the route into a screening queue;
a driver portrait drawing step, constructing a driver portrait based on the attributes of a driver, and calculating the crime probability of the driver by mining the crime probability and combining information in the driver portrait;
a user portrait drawing step, wherein a user portrait is constructed based on the attributes of the user, and the acceptable infringement degree of the user is calculated through acceptable infringement degree mining;
and a safety matching step, screening drivers from the screening queue based on the number of taxi taking people input by the user, taxi taking time, a travel route obtained in the GPS positioning step, the crime probability of the drivers obtained in the driver portrait step and the acceptable infringement degree of the users obtained in the user portrait step, and performing safety matching on the drivers of the passengers.
Preferably, the GPS positioning step includes:
and step 140, adding the adaptive driver into a screening queue.
Preferably, the driver representation step includes:
Preferably, the user portrayal step comprises:
Preferably, the step of securely matching comprises:
430, judging whether the number of passengers is more than or equal to two, if so, entering a step 440, otherwise, entering a step 450;
440, matching the vehicles according to the original mechanism of taxi taking software;
and step 450, matching according to the crime probability of the driver and the acceptable infringement degree of the user.
An embodiment of the present invention further provides a system for passenger driver safety matching, where the system includes:
the system comprises a GPS positioning module, a screening queue and a display module, wherein the GPS positioning module is suitable for acquiring departure place information and destination information of a user, constructing a travel route and adding drivers conforming to the route into the screening queue;
the driver portrait module is suitable for constructing a driver portrait based on the attribute of a driver, and calculating the crime probability of the driver by mining the crime probability and combining information in the driver portrait;
the user portrait module is suitable for constructing a user portrait based on the attributes of the user, and calculating the acceptable infringement degree of the user through acceptable infringement degree mining;
and the safety matching module is suitable for screening the drivers from the screening queue and carrying out safety matching on the drivers of the passengers based on the number of taxi taking people input by the user, taxi taking time, a travel route obtained in the GPS positioning step, the crime probability of the drivers obtained in the driver portrait step and the acceptable infringement degree of the users obtained in the user portrait step.
Preferably, the GPS positioning module includes:
the system comprises an acquisition unit, a display unit and a control unit, wherein the acquisition unit is suitable for acquiring the geographical position information of a departure place and a destination input by a user;
the planning unit is suitable for planning a route based on the geographic position information acquired by the acquisition unit to obtain a travel path;
the searching unit is suitable for finding out a matched driver according to the departure place information of the user and the distance from the driver to the departure place;
and the adding unit is suitable for adding the adaptive driver into the screening queue.
Preferably, the driver representation module comprises:
the driver portrait information base comprises driver static attribute information and driver dynamic attribute information, wherein the driver static attribute information comprises the sex, the age, the liability condition and the model of the vehicle, and the driver dynamic attribute information comprises user evaluation;
the first static reading unit is suitable for reading the static attribute information of the driver in the driver image information base, and when the static attribute information of the driver changes, the first updating unit is started;
the first dynamic reading unit is suitable for reading the driver dynamic attribute information in the driver image information base, and when the driver dynamic attribute information changes, the first updating unit is started;
the first mining unit is suitable for mining the crime probability of the driver based on the driver portrait information;
the first calculation unit is suitable for obtaining the crime probability of the driver and starting the first updating unit;
and the first updating unit is suitable for updating the driver portrait information base.
Preferably, the user representation module comprises:
the second establishing unit is suitable for establishing a user portrait information base, the user static attributes comprise gender, age and user photos, and the user dynamic attribute information comprises driver evaluation;
the second static reading unit is suitable for reading the user static attribute information in the user portrait information base, and when the driver static attribute information changes, the second updating unit is started;
the second dynamic reading unit is suitable for reading the user dynamic attribute information in the user portrait information base, and when the driver evaluation changes, the second updating unit is started;
the second mining unit is suitable for mining the acceptable infringement degree of the user based on the user portrait information;
the second calculating unit is suitable for obtaining the acceptable infringement degree of the user and starting the second updating unit;
a second updating unit adapted to update the user representation information base.
Preferably, the secure matching module includes:
the information acquisition unit is suitable for acquiring the number of passengers and taxi taking time input by a user;
the first judging unit is suitable for judging whether the travel route does not pass through a remote area and the taxi taking time is normal work and rest, and when the judgment results are yes, the basic matching unit is started, otherwise, the second judging unit is started;
the second judgment unit is suitable for judging whether the number of passengers is more than or equal to two, and if so, the basic matching unit is started, otherwise, the safety matching unit is started;
the basic matching unit is suitable for matching the vehicles according to the original mechanism of taxi taking software;
and the safety matching unit is suitable for matching according to the crime probability of the driver and the acceptable infringement degree of the user.
Compared with the prior art, the invention adopting the technical scheme has the following technical effects:
according to the scheme, the criminal probability of the driver is obtained by mining the image information of the driver, the acceptable offending degree of the user is obtained by mining the image information of the user, the driver is further screened on the basis of the original matching mechanism by matching the image information of the driver and the image information of the user, the safety of the passenger on taking the vehicle and going out is improved, and the potential criminal risk is reduced.
Furthermore, the accuracy of the driver portrait can be improved by establishing a driver portrait information base and continuously updating the static attribute information and the dynamic attribute information of the driver.
Furthermore, the accuracy of the user portrait can be improved by establishing a user portrait information base and continuously updating the user static attribute information and the user dynamic attribute information.
Drawings
FIG. 1 is a flow chart of a method of passenger driver safety matching in an embodiment of the present invention;
FIG. 2 is a flow chart of a driver screening method for passenger driver safety matching in an embodiment of the present invention;
FIG. 3 is a driver representation flow diagram of a method for passenger driver safety matching in an embodiment of the present invention;
FIG. 4 is a user representation flow diagram of a method for passenger driver safety matching in an embodiment of the present invention;
FIG. 5 is a safety matching flow chart of a method for passenger driver safety matching in an embodiment of the present invention;
fig. 6 is a schematic structural diagram of a system for passenger driver safety matching according to an embodiment of the present invention.
Detailed Description
At present, the mainstream taxi taking APP comprises a plurality of products such as drip traveling, American team taxi taking, Caocao special car, China special car and the like, and although the selection of users is many, the taxi taking APP also has the problem of safety. The existing driver and passenger matching mechanism only considers the problems of price estimation, time estimation, optimal path matching and the like, the safety problem is neglected, and for the passenger, if the matched driver crime probability is higher and the passenger has lower acceptable offensiveness, the serious safety problem exists.
In order to solve the problems, the method for matching the safety of the passenger driver obtains the crime probability of the driver by mining the image information of the driver, obtains the acceptable offending degree of a user by mining the image information of the user, and further screens the driver on the basis of the original matching mechanism by matching the image information of the driver and the image information of the user, so that the safety of the passenger when the passenger drives the vehicle and goes out is improved, and the potential crime risk is reduced.
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in detail below.
Fig. 1 is a flow chart of a method for passenger driver safety matching in an embodiment of the invention. The method of passenger driver safety matching as shown in fig. 1 may include:
step 100: and a GPS positioning step. Obtaining departure place information and destination information of a user, constructing a travel route, and adding drivers conforming to the route into a screening queue;
step 200: a step of drawing a picture of the driver. Constructing a driver portrait based on the attributes of the driver, and calculating the crime probability of the driver by mining the crime probability and combining information in the driver portrait;
step 300: and (5) user portrait drawing. Constructing a user portrait based on the attributes of the user, and calculating the acceptable infringement degree of the user through acceptable infringement degree mining;
step 400: and (5) a safety matching step. And screening drivers from the screening queue based on the number of taxi hired by the user, time, path, crime probability of the drivers and acceptable infringement degree of the user, and carrying out safety matching on the drivers of the passengers.
Fig. 2 is a driver screening flowchart of a method for passenger driver safety matching according to an embodiment of the present invention.
and step 140, adding the adaptive driver into a screening queue.
FIG. 3 is a flow chart of a driver representation of a method for passenger driver safety matching in an embodiment of the present invention.
Step 200 is shown in fig. 3 and comprises:
Specifically, the static attribute information of the driver includes the sex, age, liability condition and model of the vehicle, and may further include information such as name, identification card, education level, driving age, credit such as sesame and white stripe, presence or absence of pre-criminal department, psychological disease prediction result, whether to hold a valid driving license, whether to secure the vehicle with its own name, and the like.
The driver dynamic attribute information comprises user evaluation, and the evaluation of the driver by the client can also add more labels to the driver by extracting keywords.
and step 240, mining the crime probability of the driver based on the driver portrait information.
There are many static classification algorithms for the static attribute information of the driver, for example, SVM, KNN, DNN, etc. can be used as the static classification algorithm to perform static safety mining. There are many ways to implement dynamic mining for driver dynamic attribute information, for example, model SVM + LSTM combining static attribute and dynamic attribute, RNN used for time series processing can be used as a dynamic classification method to perform dynamic time series security mining;
in specific implementation, the crime probability of the driver can be divided into 10 levels, the driver is classified through text information of static attributes and dynamic attributes, all attributes are vectorized, and classification models such as random deep forest and convolutional neural networks are used for classifying the driver, so that the final crime probability result of each driver is given.
FIG. 4 is a user representation flow diagram of a method for passenger driver safety matching in an embodiment of the present invention;
as shown in fig. 4, step 300 includes:
in specific implementation, the acceptable infringement degree of a user can be divided into 10 levels, the user is classified through text information of static attributes and dynamic attributes, vectorization is carried out on all attributes, and classification models such as random deep forest and convolutional neural networks are used for classifying the user, so that the final acceptable infringement degree of each user is given.
FIG. 5 is a safety matching flow chart of a method for passenger driver safety matching in an embodiment of the present invention;
as shown in fig. 5, step 400 includes:
430, judging whether the number of passengers is more than or equal to two, if so, entering a step 440, otherwise, entering a step 450;
440, matching the vehicles according to the original mechanism of taxi taking software;
and step 450, matching according to the crime probability of the driver and the acceptable infringement degree of the user.
In a specific implementation, the driver image is measured by the result of the probability of driver crime and the result of the infringeability of the user, for example, the difference between the two levels is less than 1, or a complete level match is required to match the passenger and the driver.
Fig. 6 shows a schematic configuration diagram of a system for passenger driver safety matching in an embodiment of the present invention. A passenger driver safety matching system as shown in fig. 6 may include a GPS location module 500, a driver representation module 501, a user representation module 502, and a safety matching module 503, wherein:
the GPS positioning module 500 is suitable for acquiring the departure place information and the destination information of the user, constructing a travel route, and adding drivers conforming to the route into the screening queue;
the driver portrait module 501 is suitable for constructing a driver portrait based on attributes of a driver, and calculating the crime probability of the driver by mining the crime probability and combining information in the driver portrait;
a user representation module 502 adapted to construct a user representation based on attributes of a user, and calculate an acceptable infringement degree of the user by acceptable infringement degree mining;
and the safety matching module 503 is suitable for performing safety matching on the passenger and the driver from the screening queue based on the number of taxi hiring people, time, path, crime probability of the driver and acceptable infringement degree of the user.
In a specific implementation, the GPS positioning module 500 includes:
the system comprises an acquisition unit, a display unit and a control unit, wherein the acquisition unit is suitable for acquiring the geographical position information of a departure place and a destination input by a user;
the planning unit is suitable for planning a route based on the geographic position information acquired by the acquisition unit to obtain a travel path;
the searching unit is suitable for finding out a matched driver according to the departure place information of the user and the distance from the driver to the departure place;
and the adding unit is suitable for adding the adaptive driver into the screening queue.
In one implementation, the driver representation module 501 includes:
the driver portrait information base comprises driver static attribute information and driver dynamic attribute information, wherein the driver static attribute information comprises the sex, the age, the liability condition and the model of the vehicle, and the driver dynamic attribute information comprises user evaluation;
the first static reading unit is suitable for reading the static attribute information of the driver in the driver image information base, and when the static attribute information of the driver changes, the first updating unit is started;
the first dynamic reading unit is suitable for reading the driver dynamic attribute information in the driver image information base, and when the driver dynamic attribute information changes, the first updating unit is started;
the first mining unit is suitable for mining the crime probability of the driver based on the driver portrait information;
the first calculation unit is suitable for obtaining the crime probability of the driver and starting the first updating unit;
and the first updating unit is suitable for updating the driver portrait information base.
In a particular implementation, user representation module 502 includes:
the second establishing unit is suitable for establishing a user portrait information base, the user static attributes comprise gender, age and user photos, and the user dynamic attribute information comprises driver evaluation;
the second static reading unit is suitable for reading the user static attribute information in the user portrait information base, and when the driver static attribute information changes, the second updating unit is started;
the second dynamic reading unit is suitable for reading the user dynamic attribute information in the user portrait information base, and when the driver evaluation changes, the second updating unit is started;
the second mining unit is suitable for mining the acceptable infringement degree of the user based on the user portrait information;
the second calculating unit is suitable for obtaining the acceptable infringement degree of the user and starting the second updating unit;
a second updating unit adapted to update the user representation information base.
In a specific implementation, the secure matching module 503 includes:
the information acquisition unit is suitable for acquiring the number of passengers and taxi taking time input by a user;
the first judging unit is suitable for judging whether the travel route does not pass through a remote area and the taxi taking time is normal work and rest, and when the judgment results are yes, the basic matching unit is started, otherwise, the second judging unit is started;
the second judgment unit is suitable for judging whether the number of passengers is more than or equal to two, and if so, the basic matching unit is started, otherwise, the safety matching unit is started;
the basic matching unit is suitable for matching the vehicles according to the original mechanism of taxi taking software;
and the safety matching unit is suitable for matching according to the crime probability of the driver and the acceptable infringement degree of the user.
Those skilled in the art will appreciate that all or part of the steps in the methods of the above embodiments may be implemented by instructions associated with hardware via a program, which may be stored in a computer-readable storage medium, and the storage medium may include: ROM, RAM, magnetic or optical disks, and the like.
The above description is only an embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can understand that the modifications or substitutions within the technical scope of the present invention are included in the scope of the present invention, and therefore, the scope of the present invention should be subject to the protection scope of the claims.
Claims (6)
1. A passenger driver security matching method is characterized by comprising a GPS positioning step, a driver portrait step, a user portrait step and a security matching step, wherein the GPS positioning step is firstly carried out, then the driver portrait step and the user portrait step are carried out at the same time, and finally the security matching step is carried out; wherein,
GPS positioning: obtaining departure place information and destination information of a user, constructing a travel route, and adding drivers conforming to the route into a screening queue;
driver portrait viewing step, comprising:
step 210, establishing a driver portrait information base, wherein the driver portrait information comprises driver static attribute information and driver dynamic attribute information, the driver static attribute information comprises the sex, the age, the liability condition and the model of the vehicle, and the driver dynamic attribute information comprises user evaluation;
step 220, reading the static driver attribute information in the driver portrait information base, and entering step 260 when the static driver attribute information changes;
step 230, reading driver dynamic attribute information in the driver image information base, and entering step 260 when the driver dynamic attribute information changes;
step 240, mining the crime probability of the driver based on the driver portrait information;
step 250, obtaining the crime probability of the driver and entering step 260;
step 260, updating the driver portrait information base;
a user portrait step, comprising:
step 310, establishing a user portrait information base, wherein the user portrait information base comprises user static attribute information and user dynamic attribute information, the user static attribute comprises gender, age and a user photo, and the user dynamic attribute information comprises driver evaluation;
step 320, reading user static attribute information in the user portrait information base, and entering step 360 when the user static attribute information changes;
step 330, reading user dynamic attribute information in the user portrait information base, and entering step 360 when the driver evaluation changes;
step 340, mining the acceptable infringement degree of the user based on the user portrait information; step 350, obtaining the acceptable infringement degree of the user and entering step 360;
step 360, updating the user portrait information base;
a safety matching step: and screening the drivers from the screening queue based on the number of taxi taking people input by the user, taxi taking time, the travel route obtained in the GPS positioning step, the criminal probability of the drivers obtained in the driver portrait step and the acceptable infringement degree of the users obtained in the user portrait step, and carrying out safety matching on the passengers and the drivers.
2. The passenger driver safety matching method of claim 1, wherein the GPS positioning step comprises:
step 110, obtaining the geographical position information of the departure place and the destination input by the user;
step 120, based on the geographical position information obtained in the step 110, performing route planning to obtain a travel path;
step 130, finding out a matched driver according to the departure place information of the user and the distance from the driver to the departure place;
and step 140, adding the adaptive driver into a screening queue.
3. The passenger driver safety matching method of claim 1, wherein the safety matching step comprises:
step 410, acquiring the number of passengers and taxi taking time input by a user;
step 420, judging whether the travel route does not pass through a remote area and the taxi taking time is normal work and rest, if so, entering step 440, otherwise, entering step 430;
430, judging whether the number of passengers is more than or equal to two, if so, entering a step 440, otherwise, entering a step 450;
440, matching the vehicles according to the original mechanism of taxi taking software;
and step 450, matching according to the crime probability of the driver and the acceptable infringement degree of the user.
4. A system for passenger driver safety matching, comprising:
the system comprises a GPS positioning module, a screening queue and a display module, wherein the GPS positioning module is suitable for acquiring departure place information and destination information of a user, constructing a travel route and adding drivers conforming to the route into the screening queue;
driver representation module, including:
the driver portrait information base comprises driver static attribute information and driver dynamic attribute information, wherein the driver static attribute information comprises the sex, the age, the liability condition and the model of the vehicle, and the driver dynamic attribute information comprises user evaluation;
the first static reading unit is suitable for reading the static attribute information of the driver in the driver image information base, and when the static attribute information of the driver changes, the first updating unit is started;
the first dynamic reading unit is suitable for reading the driver dynamic attribute information in the driver image information base, and when the driver dynamic attribute information changes, the first updating unit is started;
the first mining unit is suitable for mining the crime probability of the driver based on the driver portrait information;
the first calculation unit is suitable for obtaining the crime probability of the driver and starting the first updating unit;
a first updating unit adapted to update the driver figure information base;
a user representation module, comprising:
the second establishing unit is suitable for establishing a user portrait information base, the user portrait information base comprises user static attribute information and user dynamic attribute information, the user static attribute comprises gender, age and a user photo, and the user dynamic attribute information comprises driver evaluation;
the second static reading unit is suitable for reading the user static attribute information in the user portrait information base, and when the user static attribute information changes, the second updating unit is started;
the second dynamic reading unit is suitable for reading the user dynamic attribute information in the user portrait information base, and when the driver evaluation changes, the second updating unit is started;
the second mining unit is suitable for mining the acceptable infringement degree of the user based on the user portrait information;
the second calculating unit is suitable for obtaining the acceptable infringement degree of the user and starting the second updating unit;
a second updating unit adapted to update the user representation information base;
and the safety matching module is suitable for screening the drivers from the screening queue and carrying out safety matching on the drivers of the passengers based on the number of taxi taking people input by the user, taxi taking time, a travel route obtained in the GPS positioning step, the crime probability of the drivers obtained in the driver portrait step and the acceptable infringement degree of the users obtained in the user portrait step.
5. The passenger driver safety matching system of claim 4, wherein the GPS location module comprises:
the system comprises an acquisition unit, a display unit and a control unit, wherein the acquisition unit is suitable for acquiring the geographical position information of a departure place and a destination input by a user;
the planning unit is suitable for planning a route based on the geographic position information acquired by the acquisition unit to obtain a travel path;
the searching unit is suitable for finding out a matched driver according to the departure place information of the user and the distance from the driver to the departure place;
and the adding unit is suitable for adding the adaptive driver into the screening queue.
6. The passenger driver safety matching system of claim 4, wherein the safety matching module comprises:
the information acquisition unit is suitable for acquiring the number of passengers and taxi taking time input by a user;
the first judging unit is suitable for judging whether the travel route does not pass through a remote area and the taxi taking time is normal work and rest, and when the judgment results are yes, the basic matching unit is started, otherwise, the second judging unit is started;
the second judgment unit is suitable for judging whether the number of passengers is more than or equal to two, and if so, the basic matching unit is started, otherwise, the safety matching unit is started;
the basic matching unit is suitable for matching the vehicles according to the original mechanism of taxi taking software;
and the safety matching unit is suitable for matching according to the crime probability of the driver and the acceptable infringement degree of the user.
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