CN110838047B

CN110838047B - Network taxi driver credit management method and device, server and storage medium

Info

Publication number: CN110838047B
Application number: CN201911082093.6A
Authority: CN
Inventors: 肖春乐
Original assignee: Tencent Technology Shenzhen Co Ltd
Current assignee: Tencent Technology Shenzhen Co Ltd
Priority date: 2019-11-07
Filing date: 2019-11-07
Publication date: 2024-04-26
Anticipated expiration: 2039-11-07
Also published as: CN110838047A

Abstract

The embodiment of the application discloses a method and a device for managing credit of a network taxi driver, a server and a storage medium, wherein the method comprises the following steps: acquiring feedback information of the finished riding service order submitted by at least one passenger account in a first preset time from a blockchain network according to the target driver account, and determining rating information of the target driver account according to the feedback information; transmitting the rating information of the target driver account to a consensus node in the blockchain network so that the consensus node performs consensus verification on the rating information of the target driver account, and returning a consensus confirmation message when the consensus verification is passed; and under the condition that the ratio of the number of the received consensus confirming messages to the number of the consensus nodes reaches the preset consensus ratio, confirming that the rating information of the target driver account is effective, and pushing a riding service order to the target driver account according to the rating information of the target driver account. The authenticity of the feedback information of the passengers and the fairness and effectiveness of the credit information of the order receiving drivers can be ensured.

Description

Network taxi driver credit management method and device, server and storage medium

Technical Field

The present application relates to the field of communications technologies, and in particular, to a method and apparatus for managing credit of a network taxi driver, a server, and a storage medium.

Background

With the development of the internet, people enjoy the convenience of the internet, and meanwhile, the information security problem is also getting more and more important. Various network taxi-taking platforms appear like spring bamboo shoots, but for the current network taxi-taking platforms, supervision of relevant information of a single-receiving driver is lacking, particularly for supervision of feedback information of passengers and credit information of the single-receiving driver, so that the problem that the feedback information of the passengers is lost or tampered and even credit scores in the credit information of the single-receiving driver are unfair is caused.

In view of the above problems, no effective solution has been proposed at present.

Content of the application

The embodiment of the application provides a method and a device for managing credit of a network taxi driver, a server and a storage medium, so as to ensure the authenticity of feedback information of passengers and the fairness and effectiveness of credit information of a taxi driver.

In a first aspect, an embodiment of the present application provides a method for managing credit of a driver of a network taxi, including:

Acquiring feedback information of finished riding service orders submitted by at least one passenger account in a first preset time from a blockchain network according to a target driver account, and determining rating information of the target driver account according to the feedback information;

Transmitting the rating information of the target driver account to a consensus node in a blockchain network, so that the consensus node performs consensus verification on the rating information of the target driver account, and returning a consensus confirmation message when the consensus verification is passed;

And under the condition that the ratio of the number of the received consensus confirming messages to the number of the consensus nodes reaches a preset consensus ratio, confirming that the rating information of the target driver account is valid, and pushing a riding service order to the target driver account according to the rating information of the target driver account.

In a second aspect, an apparatus for managing credit of a driver of a net taxi according to an embodiment of the present application includes:

The system comprises a rating unit, a target driver account number and a block chain network, wherein the rating unit is used for acquiring feedback information of finished riding service orders submitted by a plurality of passenger accounts in a first preset time in the block chain network according to the target driver account number, and determining rating information of the target driver account number according to the feedback information;

The first consensus unit is used for sending the rating information of the target driver account to a consensus node in a blockchain network so that the consensus node performs consensus verification on the rating information of the target driver account and returns a consensus confirmation message when the consensus verification is passed;

And the push order unit is used for confirming that the rating information of the target driver account is valid under the condition that the ratio of the number of the received consensus confirming messages to the number of the consensus nodes reaches a preset consensus ratio, and pushing a riding service order to the target driver account according to the rating information of the target driver account.

Optionally, the apparatus further includes:

the first receiving unit is used for receiving first feedback information of the finished riding service order of the target driver account, which is sent by the first passenger account, wherein the first feedback information carries a first passenger account signature;

the signature verification unit is used for obtaining a first passenger account public key from a blockchain network according to the first passenger account, and verifying the signature of the first passenger account according to the first passenger account public key to obtain a first verification code;

The verification unit is used for converting the first feedback information into a second verification code by adopting a hash algorithm, matching the first verification code with the second verification code, and confirming that the first feedback information is real information if the first verification code is consistent with the second verification code;

The second consensus unit is used for sending the first feedback information and the first passenger account signature to a consensus node in the blockchain network so that the consensus node performs consensus verification on the first feedback information and returns a consensus confirmation message when the consensus verification is passed;

and the uplink unit is used for adding the block containing the first feedback information to the blockchain network under the condition that the ratio of the number of the received consensus confirmation messages to the number of the consensus nodes reaches a preset consensus ratio.

Optionally, the consensus node performs consensus verification on the rating information of the target driver account, and returns a consensus confirmation message if the consensus verification passes, including:

And the consensus node calculates the rating verification information of the target driver account according to the feedback information, matches the rating verification information of the target driver account with the rating information of the target driver account, and returns consensus confirmation information if the rating verification information of the target driver account is consistent with the rating information of the target driver account.

Wherein the ride service order includes a ride starting location;

optionally, the pushing order unit includes, in pushing a riding service order to the target driver account according to the rating information of the target driver account:

A first ticket calculation subunit, configured to calculate a first distance between a vehicle position of the target driver account and a riding start position of the riding service order;

The second bill pushing calculation subunit is used for calculating the bill pushing value of the target driver account according to the first distance and the rating information of the target driver account;

And the push list determining subunit is used for pushing the riding service order to the target driver account if the push list value of the target driver account reaches a preset push list value threshold.

Optionally, the apparatus further includes:

The second receiving unit is used for receiving the order-robbing requests sent by the plurality of driver accounts within a second preset time, wherein the order-robbing requests comprise order-robbing time, the driver account and the current vehicle position corresponding to the driver account;

the order allocation unit is used for calculating the order taking distance between the starting position of the riding service order and the current vehicle position of each driver account, calculating the order taking scores of the plurality of driver accounts according to the order taking time, the order taking distance and the rating information of each driver account, and allocating the riding service order to the driver account with the highest order taking score, wherein the plurality of driver accounts comprise the target driver account.

Wherein the feedback information includes a plurality of completed riding service orders, each completed riding service order of the plurality of completed riding service orders including completed riding travel information including any one of a completed riding start position, a completed riding end position, and a completed riding period, and completed riding evaluation information;

optionally, the rating unit includes, in determining the rating information of the target driver account according to the feedback information:

A first screening subunit, configured to compare the riding information in the riding service orders with the riding information of each finished riding service order, and screen a plurality of similar finished riding service orders from the plurality of finished riding service orders;

and the first rating calculation subunit is used for calculating the rating information of the target driver account according to the finished riding evaluation information in the plurality of similar finished riding service orders.

Wherein the feedback information includes a plurality of completed riding service orders, each completed riding service order of the plurality of completed riding service orders including completed riding travel information and completed riding evaluation information, the completed riding travel information including a completed riding route;

A second screening subunit, configured to calculate a riding route of the riding service order according to riding traveling information in the riding service order, calculate a route superposition ratio of the riding route of the riding service order and a finished riding route of each finished riding service order in the plurality of finished riding service orders, and screen a plurality of similar finished riding service orders whose route superposition ratio reaches a preset route superposition ratio threshold from the plurality of finished riding service orders;

And the second rating calculation subunit is used for calculating the rating information of the target driver account according to the finished riding evaluation information in the plurality of similar finished riding service orders.

In a third aspect, a server is provided for an embodiment of the present application, where the server includes a processor, a memory, and a transceiver, where the processor, the memory, and the transceiver are connected to each other, and the memory is configured to store a computer program that supports the electronic device to execute the network bus driver credit management method described above, and the computer program includes program instructions; the processor is configured to invoke the program instructions to perform the network approximately vehicle driver credit management method as described in one aspect of the embodiments of the application described above.

In a fourth aspect, a storage medium is provided for an embodiment of the present application, where the storage medium stores a computer program, and the computer program includes program instructions; the program instructions, when executed by a processor, cause the processor to perform the net-bound vehicle driver credit management method as described in one aspect of an embodiment of the application.

According to the embodiment of the application, feedback information of a finished riding service order submitted by at least one passenger account in a first preset time is obtained in a blockchain network according to a target driver account, and rating information of the target driver account is determined according to the feedback information; transmitting the rating information of the target driver account to a consensus node in the blockchain network so that the consensus node performs consensus verification on the rating information of the target driver account, and returning a consensus confirmation message when the consensus verification is passed; and under the condition that the ratio of the number of the received consensus confirming messages to the number of the consensus nodes reaches the preset consensus ratio, confirming that the rating information of the target driver account is effective, and pushing a riding service order to the target driver account according to the rating information of the target driver account. This ensures the authenticity of the passenger feedback information and the fairness and effectiveness of the order taker credit information.

Drawings

In order to more clearly illustrate the embodiments of the application or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the application, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.

FIG. 1 is a diagram of one possible system architecture provided by an embodiment of the present application;

FIG. 2 is a schematic flow chart of a method for managing credit of a driver of a network taxi according to an embodiment of the present application;

FIG. 3 is a flow chart of another method for managing credit of a driver of a network taxi according to an embodiment of the present application;

FIG. 4 is a flow chart of another method for managing credit of a driver of a network taxi according to an embodiment of the present application;

FIG. 5 is a schematic diagram of a credit management device for a driver of a net taxi according to an embodiment of the present application;

fig. 6 is a schematic structural diagram of a server according to an embodiment of the present application.

Detailed Description

The following description of the embodiments of the present application will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.

Referring to fig. 1, a possible system architecture diagram to which the present application is applicable is shown. As shown in fig. 1, the system architecture diagram includes a blockchain network, a network about vehicle driver credit management platform, a terminal where a passenger account is located, and a terminal where a driver account is located, where the blockchain network includes a plurality of consensus nodes and billing nodes, the terminal where the passenger account is located includes a plurality of terminals where the passenger account is located, and the bill where the driver account is located includes a plurality of terminals where the driver account is located. After first feedback information of a finished first passenger account riding service order for a target driver is finished, a terminal A where a first passenger account is located signs the first feedback information by using a first passenger account private key to obtain a first passenger account signature, the first feedback information carrying the first passenger account signature is sent to a network about driver credit management platform, the network about driver credit management platform obtains the first passenger account public key from a blockchain network according to the first passenger account, the first passenger account public key is used for checking the first passenger account signature to obtain a first check code, then a hash algorithm is used for calculating the first feedback information to obtain a second check code, the first check code is matched with the second check code, if the first check code is consistent with the second check code, a block corresponding to the first feedback information is generated according to an intelligent contract, and the block is uploaded to the blockchain network. And then, the network appointment vehicle driver credit management platform acquires feedback information of the finished riding service orders of at least one passenger account submitted by the passenger account within a first preset time through an accounting node in the blockchain network according to the target driver account, determines rating information of the target driver account according to the feedback information, sends the rating information to consensus nodes in the blockchain network for consensus, calculates the push score of each driver account according to the rating information of a plurality of driver accounts after receiving the riding service orders uploaded by the passenger account, pushes the riding service orders to the driver account with the push score reaching a preset push score threshold, sends a preemption request to the network appointment vehicle driver credit management platform after receiving the riding service orders, calculates the preemption score of the plurality of driver accounts according to the rating information of the driver accounts, the preemption time and the like, and distributes the riding service orders to the highest score of the driver account. The terminal where the passenger account is located can acquire feedback information of the finished passenger account riding service order of the target driver at any time in the blockchain network through the passenger account, and the feedback information is stored in the blockchain network.

Referring to fig. 2, a flow chart of a method for managing credit of a driver of a network taxi according to an embodiment of the application is provided. As shown in fig. 2, this method embodiment includes the steps of:

S201, acquiring feedback information of finished riding service orders submitted by at least one passenger account in a first preset time in a blockchain network according to a target driver account, and determining rating information of the target driver account according to the feedback information.

The first preset time may be one day, one week or one month, and the specific time is set by the network taxi driver credit management platform, and may be any time period, which is not limited in the embodiment of the present application.

In a possible implementation manner, the feedback information includes a plurality of completed riding service orders, each completed riding service order in the plurality of completed riding service orders includes completed riding driving information and completed riding evaluation information, and the completed riding driving information includes any one of a completed riding starting position, a completed riding final position and a completed riding period;

the determining the rating information of the target driver account according to the feedback information comprises the following steps:

comparing the riding information in the riding service orders with the riding information of each riding service order, and screening a plurality of similar riding service orders from the plurality of riding service orders;

And calculating the rating information of the target driver account according to the finished riding evaluation information in the plurality of similar finished riding service orders.

Specifically, after receiving a riding service order sent by a passenger account, the online-bus driver credit management platform screens a plurality of similar riding service orders from a plurality of finished riding service orders according to any one of a riding starting position, a riding end position and a riding period of the riding service order, wherein the finished riding starting position or the finished riding end position of each similar riding service order or the finished riding period is consistent with any one of the riding starting position, the riding end position and the riding period of the riding service order, and then calculates and obtains rating information of a target driver account according to the finished riding service evaluation score and the finished riding service evaluation text in the finished riding evaluation information of the plurality of similar riding service orders.

For example, the network bus driver credit management platform obtains feedback information of 100 completed bus service orders submitted by at least one passenger account number within a week from 10 months 21 to 10 months 27 for the target driver account number according to the target driver account number through an accounting node in the blockchain network, then screens out similar completed bus service orders with the same starting position of "the aster north" from 100 completed bus service orders according to the starting position of the bus in the received bus service orders, "the traffic bureau" in the received bus service orders, screens out similar completed bus service orders with the same ending position of "5:30-6:00" from the rest 95 completed bus service orders according to the bus starting position of the received bus service orders, and screens out similar completed bus service orders with the same ending position of "traffic bureau" from the rest 98 completed bus service orders according to the bus ending position of the received bus service orders, and finally obtains similar 10 completed bus service orders with the same ending position of "5:30-6:00".

And then, the network bus driver credit management platform calculates the rating information of the target driver account according to the completed riding service rating values and the completed riding service rating characters in the completed riding rating information of the 10 similar completed riding service orders of the target driver account. Specifically, the rating information of the target driver account may refer to the following manner: determining the score corresponding to the finished riding service evaluation words according to the keywords in the finished riding service evaluation words of each similar finished riding service order, if the poor evaluation words of harassment, detour and bad attitudes exist in the finished riding service evaluation words, the score corresponding to the finished riding service evaluation words is-5 scores, the score corresponding to the finished riding service evaluation words is 2 scores if the good evaluation words of good attitudes and short riding time exist in the finished riding service evaluation words, and then adding the score corresponding to the finished riding service evaluation words of each similar finished riding service order and the finished riding service evaluation score to obtain the service score of each similar finished riding service order, and finally adding the service scores of 10 similar finished riding service orders to obtain the rating information of the target driver account number to be 70 scores. The manner of calculating the rating information of the target driver account is not limited herein.

In another possible implementation, the feedback information includes a plurality of completed ride service orders, each completed ride service order of the plurality of completed ride service orders including completed ride travel information including a completed ride route and completed ride evaluation information;

Calculating a riding route of the riding service order according to riding traveling information in the riding service order, calculating a route superposition ratio of the riding route of the riding service order and a finished riding route of each finished riding service order in the plurality of finished riding service orders, and screening a plurality of similar finished riding service orders with the route superposition ratio reaching a preset route superposition ratio threshold from the plurality of finished riding service orders;

The riding information in the riding service order comprises a riding starting position, a riding ending position and a riding period.

For example, the network bus driver credit management platform obtains feedback information of 20 completed bus service orders submitted by at least one passenger account number within 10 months and 27 days through a billing node in a blockchain network according to a target driver account number, calculates a bus route a of the bus service order according to a bus starting position, a bus ending position and a bus period in the received bus service order a, calculates the overlapping length of a completed bus route B and a bus route a in the completed bus service order B in the 20 completed bus service orders, obtains a ratio of 800 meters of the overlapping length of the completed bus route B and the bus route a to 2000 meters of the total length of the bus route B to obtain a line overlapping proportion of 40% of the completed bus service order B, compares the line overlapping proportion of 40% of the completed bus service order B with a preset line overlapping proportion threshold 30%, and obviously determines that the completed bus service order B is similar to the completed bus service order. Finally, 3 similar finished ride service orders are screened from the 20 finished ride service orders according to the mode, which are B, C and E respectively. And then multiplying the service evaluation score 70 of the finished riding service of the similar finished riding service order B in the 3 similar finished riding service orders by the route superposition proportion of 40% of the similar finished riding service order B to obtain the service score 28 of the similar finished riding service order B, calculating the service scores 32 and 20 of the similar finished riding service order C and the similar finished riding service order E according to the mode, and adding the three service scores corresponding to the similar finished riding service orders B, C and E to finally obtain the rating information of the target driver account number 80.

S202, the rating information of the target driver account is sent to a consensus node in a blockchain network, so that the consensus node performs consensus verification on the rating information of the target driver account, and a consensus confirmation message is returned under the condition that the consensus verification is passed.

In a possible implementation manner, the consensus node performs consensus verification on the rating information of the target driver account, and returns a consensus confirmation message if the consensus verification passes, including:

For example, the network about car driver credit management platform distributes the rating information 80 of the target driver account obtained in the step S201 to 1 consensus node in the blockchain network, the consensus node broadcasts the rating information 80 of the target driver account to other 9 consensus nodes through a broadcasting mechanism, then the consensus node D in the 10 consensus nodes obtains feedback information of the completed riding service order of the target driver account submitted by at least one passenger account within a first preset time according to the target driver account, calculates the feedback information by adopting a target driver account rating information calculation mode consistent with the network about car driver credit management platform to obtain rating verification information D of the target driver account as 80 score, matches the rating verification information D of the target driver account as 80 score with the rating information 80 score of the target driver account, and obviously returns consensus verification information to the network about car driver credit management platform if the rating verification information D of the target driver account is 80 score consistent with the rating information 80 score of the target driver account. According to the mode, 8 consensus nodes finally return consensus confirmation information to the credit management platform of the network taxi driver. After that, step S203 is performed.

And S203, under the condition that the ratio of the number of the received consensus confirming messages to the number of the consensus nodes reaches a preset consensus ratio, confirming that the rating information of the target driver account is valid, and pushing a riding service order to the target driver account according to the rating information of the target driver account.

For example, the preset consensus ratio is 51%, the network-contracted vehicle driver credit management platform distributes the rating information 80 of the target driver account obtained in step S201 to 100 consensus nodes in the blockchain network, and the number of the consensus confirmation messages returned by the consensus nodes is 80, so that the ratio of the consensus confirmation messages returned by the consensus nodes is 80% and is greater than the preset consensus ratio of 51%, and the rating information 80 of the target driver account is confirmed to be valid.

And then, the network appointment vehicle driver credit management platform pushes a riding service order to the target driver account according to the rating information of the target driver account.

In one possible embodiment, the ride service order includes a ride start location;

the pushing the riding service order to the target driver account according to the rating information of the target driver account comprises the following steps:

calculating a first distance between a vehicle position of the target driver account and a ride starting position of the ride service order;

calculating a push list value of the target driver account according to the first distance and the rating information of the target driver account;

And if the push order value of the target driver account reaches a preset push order value threshold, pushing the riding service order to the target driver account.

For example, the network about vehicle driver credit management platform compares a first distance 1.5 km between a vehicle position "deep subway station" of the target driver account and a riding starting position "kenyuan north" in a riding service order with a score table (as shown in table 1) corresponding to preset different distances, obtains a distance score of 70 minutes for the target driver account, calculates the distance score 70 minutes of the target driver account and the rating information 80 minutes of the target driver account in a weighted average manner according to the weights of the distance score and the rating information being 0.4 and 0.6 respectively, obtains a push score (70 x 0.4+80 x 0.6)/2=38) of the target driver account, and judges whether the push score 38 of the target driver account is greater than or equal to a preset push score threshold 30, and obviously, if the push score 38 of the target driver account is greater than the preset push score threshold 30, pushes the vehicle service order to the target driver account.

Distance (kilometer)	0-1.0	1.0-2.0	2.0-3.0	3.0-4.0	4.0-5.0	……
							Distance score	100-80	80-60	60-40	40-0	0	……

TABLE 1 distance score Table corresponding to different distances

In the embodiment of the application, the network taxi driver credit management platform is the feedback information of the completed taxi service order aiming at the target driver account, which is acquired in the blockchain network, and sends the rating information of the target driver account, which is calculated according to the feedback information, to the consensus node in the blockchain network to consensus the rating information of the target driver account.

Referring to fig. 3, a flow chart of another method for managing credit of a driver of a net taxi according to an embodiment of the application is provided. As shown in fig. 3, this method embodiment includes the steps of:

s301, the first passenger account number sends first feedback information of the finished riding service order aiming at the target driver account number to the network taxi driver credit management platform to carry a first passenger account number signature.

Before executing step S301, the terminal where the first passenger account number is located may first create a first key pair by using an asymmetric encryption algorithm; the asymmetric encryption algorithm herein may include, but is not limited to: elgamal algorithm (an asymmetric encryption algorithm), rabin algorithm (an asymmetric encryption algorithm), diffie-Hellman algorithm (an asymmetric encryption algorithm), ECC algorithm (elliptic curve encryption algorithm). Wherein the first key pair comprises a first public passenger account key and a first private passenger account key; the first public key of the passenger account is used for identifying the identity of the first passenger account, and the first private key of the passenger account is used for signing the first feedback information by the terminal where the first passenger account is located. After the first key pair is created, the terminal at which the first passenger account is located may upload the first public key of the first key pair to the blockchain network, while the first private key of the first passenger account is kept by the terminal at which the first passenger account is located.

And then, the first passenger account number sends first feedback information of the finished riding service order aiming at the target driver account number to the network taxi driver credit management platform to carry a first passenger account number signature. The signature of the first passenger account is obtained by signing the first feedback information by using a first passenger account private key at a terminal where the first passenger account is located. Step S302 is then performed.

S302, the network appointment driver credit management platform obtains a first passenger account public key from the billing node according to the first passenger account.

Specifically, the network vehicle driver credit management platform sends a request for acquiring a public key of a first passenger account number to an accounting node in a blockchain network, the request for acquiring the public key of the first passenger account number comprises the first passenger account number, and the accounting node acquires the public key of the first passenger account number according to the first passenger account number after receiving the request and sends the public key of the first passenger account number to the network vehicle driver credit management platform. Step S303 is then performed.

S303, the online bus driver credit management platform carries out signature verification on the first passenger account number signature according to the public key of the first passenger account number to obtain a first check code, a hash algorithm is adopted to convert the first feedback information into a second check code, and the first check code is matched with the second check code.

Among other things, the hash algorithms herein include, but are not limited to: MD4 algorithm, MD5 algorithm, SHA-1 algorithm, SHA-256 algorithm, etc.

Specifically, the internet-of-things vehicle driver credit management platform performs signature verification on the first passenger account number signature according to the first passenger account number public key to obtain a first check code, which can be understood as a hash value obtained by performing hash calculation on the first feedback information, then performing calculation on the first feedback information by adopting a hash algorithm to obtain a second check code, matching the first check code with the second check code, and if the first check code is consistent with the second check code, indicating that the first feedback information is filled and transmitted by the first passenger account number and is not tampered, confirming that the first feedback information is real information. Step S304 is then performed.

And S304, under the condition that the first check code is consistent with the second check code, the network restraint vehicle driver credit management platform sends the first feedback information and the first passenger account number signature to a consensus node in the blockchain network.

S305, the consensus node performs consensus verification on the first feedback information.

In a possible implementation manner, 1 consensus node in the blockchain network broadcasts the first feedback information and the first passenger account signature received in the step S304 to other 9 consensus nodes through a broadcasting mechanism, then each consensus node in the 10 consensus nodes obtains a first passenger account public key according to the first passenger account, verifies the first passenger account signature with the first passenger account public key, verifies whether the first feedback information is sent by filling the first passenger account, and if the consensus node successfully verifies the first passenger account signature, and indicates that the consensus verification passes, then step S306 is executed.

And S306, the consensus node returns a first consensus confirmation message to the network about vehicle driver credit management platform under the condition that the consensus verification is passed.

S307, if the received first consensus information is confirmed to meet the preset consensus strategy, adding the block containing the first feedback information into the blockchain network.

Specifically, the network vehicle driver credit management platform calculates the consensus proportion of the number of the first consensus confirmation information returned by the received consensus nodes and the number of the consensus nodes for performing the consensus verification, judges whether the consensus proportion is greater than or equal to a preset consensus proportion, if so, indicates that the first feedback information is effective, and then sends the block containing the first feedback information to all the block chain nodes (all the accounting nodes and all the consensus nodes) in the block chain network, so that all the block chain nodes store the block containing the first feedback information.

S308, the online-reduction driver credit management platform obtains feedback information of the completed riding service order submitted by at least one passenger account in a first preset time from the billing node according to the target driver account, and determines the rating information of the target driver account according to the feedback information.

Specifically, the online-reduction-vehicle-driver credit management platform sends a request for acquiring feedback information of finished riding service orders submitted by at least one passenger account number in a first preset time to an accounting node in a blockchain network, the accounting node acquires the feedback information of finished riding service orders submitted by at least one passenger account number in the first preset time according to the target driver account number in the request, and sends the feedback information to the online-reduction-vehicle-driver credit management platform. And then, the online-ca-car driver credit management platform determines the rating information of the target driver account according to the feedback information.

Here, the specific implementation step of the internet about vehicle driver credit management platform in step S308 to determine the rating information of the target driver account according to the feedback information is referred to step S201 in the embodiment corresponding to fig. 2, which is not described herein again.

S309, the network about car driver credit management platform sends the rating information of the target driver account to a consensus node in the blockchain network.

And S310, the consensus node performs consensus verification on the rating information of the target driver account.

And S311, returning a second consensus confirmation message to the network taxi driver credit management platform by the consensus node under the condition that the consensus verification is passed.

And S312, the network taxi driver credit management platform confirms that the rating information of the target driver account is valid under the condition that the received second consensus confirmation message returned by the consensus node meets a preset consensus strategy, and pushes a taxi taking service order to the target driver account according to the rating information of the target driver account.

Here, the specific implementation of steps S309-S312 may refer to descriptions of steps S202-S203 in the corresponding embodiment of fig. 2, which are not repeated here.

In the embodiment of the application, the network-contracted vehicle driver credit management platform checks the feedback information of the finished riding service order submitted by the received passenger account number aiming at the target driver account number, then sends the feedback information to the consensus node in the blockchain network for consensus, and uploads the feedback information to the blockchain network under the condition that the consensus confirmation information returned by the received consensus node meets the preset consensus strategy, then obtains the feedback information of the finished riding service order aiming at the target driver account number in the blockchain network according to the target driver account number, and sends the rating information of the target driver account number obtained by calculation according to the feedback information to the consensus node in the blockchain network for consensus of the rating information of the target driver account number.

Referring to fig. 4, a flow chart of another method for managing credit of a driver of a net taxi according to an embodiment of the application is provided. As shown in fig. 4, this method embodiment includes the steps of:

S401, acquiring feedback information of the finished riding service order submitted by at least one passenger account in a first preset time in a blockchain network according to the target driver account, and determining rating information of the target driver account according to the feedback information.

And S402, sending the rating information of the target driver account to a consensus node in the blockchain network so that the consensus node performs consensus verification on the rating information of the target driver account, and returning a consensus confirmation message under the condition that the consensus verification is passed.

S403, under the condition that the ratio of the number of the received consensus confirming messages to the number of the consensus nodes reaches the preset consensus ratio, confirming that the rating information of the target driver account is valid, and pushing a riding service order to the target driver account according to the rating information of the target driver account.

Here, the specific implementation manner of steps S401 to S403 may refer to descriptions of steps S201 to S203 in the corresponding embodiment of fig. 2, which are not repeated herein.

S404, receiving the order-taking requests sent by the plurality of driver accounts within a second preset time, calculating the order-taking scores of the plurality of driver accounts according to the order-taking time, the order-taking distance between the starting position of the bus and the vehicle position of each driver account and the rating information of each driver account, and distributing the bus-taking service orders to the driver account with the highest order-taking score.

Specifically, the network taxi driver credit management platform receives a robbery order request sent by a plurality of driver accounts within a second preset time, wherein the robbery order request comprises robbery order time, the driver account and the current vehicle position corresponding to the driver account;

Calculating the order taking distance between the starting position of the riding service order and the current vehicle position of each driver account, calculating the order taking scores of the plurality of driver accounts according to the order taking time, the order taking distance and the rating information of each driver account, and distributing the riding service order to the driver account with the highest order taking score, wherein the plurality of driver accounts comprise the target driver account.

The second preset time may be one minute or two minutes, and the specific time is set by the network taxi driver credit management platform, and may be any time period, which is not limited in the embodiment of the present application.

For example, the network taxi driver credit management platform receives the order-taking requests sent by 4 driver accounts within three minutes after the taxi service orders are pushed to the plurality of driver accounts at five pm for thirty minutes, wherein the order-taking requests comprise order-taking time and the driver accounts, the order-taking time of the driver accounts A, B, C and D are five thirty-one minutes, five thirty-minute, thirty-second, five thirty-three minutes and five thirty-two minutes respectively, and the time interval score is determined according to the time interval between the time of pushing the taxi service orders and the order-taking time, for example, if the time interval between the time of pushing the taxi service orders and the order-taking time is within 0-1min, the corresponding time interval score is 100-80 minutes; if the time interval between the time of pushing the riding service order and the time of robbing the order is within 1-2min, the corresponding time interval score is 80-60 min; if the time interval between the time of pushing the riding service order and the time of taking the order is within 2-3min, the corresponding time interval score is 60-40 min. The time interval scores for the driver account A, B, C and D were 80, 90, 40, and 60 points, respectively, obtained in the manner described above. And then, comparing the positions of the drivers 'accounts A, B, C and D with the corresponding score tables (shown in table 1) of the corresponding distances between the starting positions of the passengers in the service orders of the passengers by 1 km, 1.5 km, 0.5 km and 2 km, respectively, to obtain the distance scores of the drivers' accounts A, B, C and D of 80, 70, 90 and 60 respectively, wherein the rating information of the drivers 'accounts A, B, C and D can be calculated in the step S401 to obtain 70, 60, 90 and 80 respectively, and finally the time interval scores of the drivers' accounts A, B, C and D, the distance scores and the rating information of the drivers 'accounts are calculated in a weighted manner to obtain the highest score of the drivers' accounts A, B, C and D of 75, 69, 80 and 70 respectively, so that the service orders of the drivers 'accounts C are obviously allocated to the drivers' accounts C.

Referring to fig. 5, a schematic structural diagram of a credit management device for a driver of a net bus is provided in an embodiment of the present application. As shown in fig. 5, the network appointment vehicle driver credit management device comprises a rating unit 501, a first consensus unit 502 and a push order unit 503.

A rating unit 501, configured to obtain feedback information of completed riding service orders submitted by a plurality of passenger accounts in a first preset time in a blockchain network according to a target driver account, and determine rating information of the target driver account according to the feedback information;

The first consensus unit 502 is configured to send the rating information of the target driver account to a consensus node in a blockchain network, so that the consensus node performs consensus verification on the rating information of the target driver account, and returns a consensus confirmation message if the consensus verification passes;

And a push order unit 503, configured to confirm that the rating information of the target driver account is valid when it is confirmed that the ratio of the number of the received consensus confirmation messages to the number of the consensus nodes reaches a preset consensus ratio, and push a riding service order to the target driver account according to the rating information of the target driver account.

Optionally, the apparatus further includes:

A first receiving unit 504, configured to receive first feedback information sent by a first passenger account for the completed riding service order of the target driver account, where the first feedback information carries a first passenger account signature;

The signature verification unit 505 is configured to obtain a first public key of a passenger account in a blockchain network according to the first passenger account, and verify the signature of the first passenger account according to the first public key of the passenger account to obtain a first verification code;

a checking unit 506, configured to convert the first feedback information into a second check code by using a hash algorithm, match the first check code with the second check code, and confirm that the first feedback information is real information if the first check code is consistent with the second check code;

A second consensus unit 507, configured to send the first feedback information to a consensus node in the blockchain network, so that the consensus node performs a consensus verification on the first feedback information, and returns a consensus confirmation message when the consensus verification passes;

and the uplink unit 508 is configured to generate a block corresponding to the first feedback information according to an intelligent contract and add the block to the blockchain network when the received consensus confirmation message is confirmed to satisfy the preset consensus strategy.

Wherein the riding service order comprises a riding starting position;

Optionally, the pushing order unit 503 includes, in pushing the riding service order to the target driver account according to the rating information of the target driver account:

a first order calculation subunit 5031 for calculating a first distance between a vehicle position of the target driver account and a riding start position of the riding service order;

A second order calculation subunit 5032, configured to calculate an order value of the target driver account according to the first distance and the rating information of the target driver account;

And a ticket pushing determining subunit 5033, configured to push the riding service order to the target driver account if the ticket pushing score of the target driver account reaches a preset ticket pushing score threshold.

Optionally, the apparatus further includes:

a second receiving unit 509, configured to receive, within a second preset time, a first request sent by a plurality of driver accounts, where the first request includes a first time, a driver account, and a current vehicle position corresponding to the driver account;

The order allocation unit 510 is configured to calculate an order allocation distance between a riding start position of the riding service order and a current vehicle position of each driver account, calculate an order allocation score of the plurality of driver accounts according to the order allocation time, the order allocation distance, and the rating information of each driver account, and allocate the riding service order to a driver account with a highest order allocation score, where the plurality of driver accounts includes the target driver account.

Wherein the feedback information includes a plurality of completed riding service orders, each completed riding service order of the plurality of completed riding service orders includes completed riding driving information and completed riding evaluation information, and the completed riding driving information includes any one of a completed riding starting position, a completed riding final position and a completed riding period;

Optionally, the rating unit 501 includes, in determining the rating information of the target driver account according to the feedback information:

A first screening subunit 5011 configured to compare the riding information in the riding service orders with the riding information of each completed riding service order, and screen a plurality of similar completed riding service orders from the plurality of completed riding service orders;

The first rating calculating subunit 5012 is configured to calculate rating information of the target driver account according to the completed riding evaluation information in the plurality of similar completed riding service orders.

Wherein the feedback information includes a plurality of completed riding service orders, each completed riding service order of the plurality of completed riding service orders includes completed riding travel information and completed riding evaluation information, and the completed riding travel information includes a completed riding route;

a second screening subunit 5013, configured to calculate a riding route of the riding service order according to riding information in the riding service order, calculate a route superposition ratio of the riding route of the riding service order and a completed riding route of each completed riding service order in the plurality of completed riding service orders, and screen a plurality of similar completed riding service orders whose route superposition ratio reaches a preset route superposition ratio threshold from the plurality of completed riding service orders;

The second rating calculating subunit 5014 calculates rating information of the target driver account according to the completed riding evaluation information in the plurality of similar completed riding service orders.

It will be appreciated that the network vehicle driver credit management device 500 is configured to implement the steps performed by the network vehicle driver credit management platform of the embodiment of fig. 2-4. With respect to the specific implementation of the functional blocks and the corresponding advantageous effects included in the network vehicle driver credit management device 500 of fig. 5, reference may be made to the specific description of the foregoing embodiments of fig. 2 to 4, which are not repeated herein.

The network taxi driver credit management apparatus 500 in the embodiment shown in fig. 5 described above may be implemented as the server 600 shown in fig. 6. Referring to fig. 6, a schematic structural diagram of a server is provided in an embodiment of the present application. As shown in fig. 6, the server 600 may include: one or more processors 601, memory 602, and a transceiver 603. The processor 601, the memory 602, and the transceiver 603 are connected through a bus 604. Wherein the transceiver 603 is configured to obtain feedback information of a plurality of passenger accounts or send rating information of a target driver account, and the memory 602 is configured to store a computer program, where the computer program includes program instructions; the processor 601 is configured to execute program instructions stored in the memory 602, and perform the following operations:

Acquiring feedback information of finished riding service orders submitted by a plurality of passenger accounts in a first preset time from a blockchain network according to a target driver account, and determining rating information of the target driver account according to the feedback information;

transmitting the rating information of the target driver account to a consensus node in a blockchain network, so that the consensus node performs consensus verification on the rating information of the target driver account, and returns a consensus confirmation message when the consensus verification is passed;

Optionally, the processor 601 further specifically performs the following operations:

Receiving first feedback information, which is sent by a first passenger account and carries a first passenger account signature, of a finished first passenger account riding service order of the target driver account;

Acquiring a first passenger account public key from a blockchain network according to the first passenger account, and checking the signature of the first passenger account according to the first passenger account public key to obtain a first check code;

The first feedback information is converted into a second check code by adopting a hash algorithm, the first check code and the second check code are matched, and if the first check code is consistent with the second check code, the first feedback information is confirmed to be real information;

Transmitting the first feedback information and the first passenger account number signature to a consensus node in the blockchain network, so that the consensus node performs consensus verification on the first feedback information, and returns a consensus confirmation message when the consensus verification is passed;

and adding the block containing the first feedback information to the blockchain network under the condition that the ratio of the number of the received consensus confirmation messages to the number of the consensus nodes reaches a preset consensus ratio.

Wherein the riding service order comprises a riding starting position;

Optionally, the processor 601 pushes a riding service order to the target driver account according to the rating information of the target driver account, and specifically performs the following operations:

Calculating a first distance between a vehicle position of the target driver account and a riding starting position of the riding service order;

And if the push score of the target driver account reaches a preset push score threshold, pushing the riding service order to the target driver account.

Receiving a first order request sent by a plurality of driver accounts within a second preset time, wherein the first order request comprises the first order time, the driver account and the current vehicle position corresponding to the driver account;

And calculating the order taking distance between the starting position of the riding service order and the current vehicle position of each driver account, calculating the order taking scores of the plurality of driver accounts according to the order taking time, the order taking distance and the rating information of each driver account, and distributing the riding service order to the driver account with the highest order taking score, wherein the plurality of driver accounts comprise the target driver account.

Optionally, the processor 601 determines the rating information of the target driver account according to the feedback information, and specifically performs the following operations:

Calculating a riding route of the riding service order according to riding information in the riding service order, calculating a route superposition ratio of the riding route of the riding service order and a finished riding route of each finished riding service order in the plurality of finished riding service orders, and screening a plurality of similar finished riding service orders with the route superposition ratio reaching a preset route superposition ratio threshold from the plurality of finished riding service orders;

In an embodiment of the present application, a computer storage medium is provided, which may be used to store computer software instructions for the network restraint vehicle driver credit management device in the embodiment shown in fig. 5, where the computer software instructions include a program for executing the program designed for the network restraint vehicle driver credit management device in the embodiment shown in the embodiment described above. The storage medium includes but is not limited to flash memory, hard disk, solid state disk.

There is also provided in an embodiment of the present application a computer program product which, when executed by a computing device, is operable to perform the network vehicle driver credit management apparatus as devised for the embodiment of fig. 5 described above.

The terms "first," "second," "third," and "fourth" and the like in the description and in the claims and drawings are used for distinguishing between different objects and not necessarily for describing a particular sequential or chronological order. Furthermore, the terms "comprise" and "have," as well as any variations thereof, are intended to cover a non-exclusive inclusion. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those listed steps or elements but may include other steps or elements not listed or inherent to such process, method, article, or apparatus.

In the present application, "a and/or B" means one of the following: a, B, A and B. "at least one of … …" refers to any combination of the listed items or any number of the listed items, e.g., "at least one of A, B and C" refers to one of the following: any of seven cases a, B, C, a and B, B and C, a and C, A, B and C.

Those skilled in the art will appreciate that implementing all or part of the above-described methods in accordance with the embodiments may be accomplished by way of a computer program stored on a computer readable storage medium, which when executed may comprise the steps of the embodiments of the methods described above. The storage medium may be a magnetic disk, an optical disk, a Read-Only Memory (ROM), a random-access Memory (Random Access Memory, RAM), or the like.

The method and related apparatus provided in the embodiments of the present application are described with reference to the flowchart and/or schematic structural diagrams of the method provided in the embodiments of the present application, and each flow and/or block of the flowchart and/or schematic structural diagrams of the method may be implemented by computer program instructions, and combinations of flows and/or blocks in the flowchart and/or block diagrams. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks. These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or structural diagram block or blocks. These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or structures.

The foregoing disclosure is illustrative of the present application and is not to be construed as limiting the scope of the application, which is defined by the appended claims.

Claims

1. A network taxi driver credit management method, comprising:

Transmitting the rating information of the target driver account to a consensus node in a blockchain network, so that the consensus node calculates the rating verification information of the target driver account according to the feedback information, and matches the rating verification information of the target driver account with the rating information of the target driver account, and if the rating verification information of the target driver account is consistent with the rating information of the target driver account, returning a consensus confirmation message;

Under the condition that the ratio of the number of the received consensus confirming messages to the number of the consensus nodes reaches a preset consensus ratio, confirming that the rating information of the target driver account is valid, pushing a riding service order to the target driver account according to the rating information of the target driver account, wherein the riding service order comprises a riding starting position;

2. The method of claim 1, wherein the step of obtaining feedback information of completed ride service orders submitted by at least one passenger account within a first predetermined time from the target driver account in the blockchain network comprises:

receiving first feedback information, which is sent by a first passenger account and carries a first passenger account signature, of a finished riding service order of the target driver account;

And adding a block containing the first feedback information to the blockchain network under the condition that the ratio of the number of the received consensus acknowledgement messages to the number of the consensus nodes reaches a preset consensus ratio.

3. The method of claim 1, wherein the step of determining the position of the substrate comprises,

After pushing the riding service order to the target driver account according to the rating information of the target driver account, the method comprises the following steps:

4. The method of claim 1, wherein the feedback information comprises a plurality of completed ride service orders, each completed ride service order of the plurality of completed ride service orders comprising completed ride travel information and completed ride assessment information, the completed ride travel information comprising any one of a completed ride start location, a completed ride end location, a completed ride period;

Comparing the riding starting position in the riding service orders with the riding running information of each finished riding service order, and screening a plurality of similar finished riding service orders from the plurality of finished riding service orders;

5. The method of claim 1, wherein the feedback information comprises a plurality of completed ride service orders, each completed ride service order of the plurality of completed ride service orders comprising completed ride travel information and completed ride assessment information, the completed ride travel information comprising a completed ride route;

Calculating a riding route of the riding service order according to the riding starting position in the riding service order, calculating a route superposition ratio of the riding route of the riding service order and the finished riding route of each finished riding service order in the plurality of finished riding service orders, and screening a plurality of similar finished riding service orders with the route superposition ratio reaching a preset route superposition ratio threshold from the plurality of finished riding service orders;

6. A net restraint vehicle driver credit management device, comprising:

The system comprises a rating unit, a target driver account number and a block chain network, wherein the rating unit is used for acquiring feedback information of a finished riding service order submitted by at least one passenger account number in a first preset time in the block chain network according to the target driver account number, and determining rating information of the target driver account number according to the feedback information;

The first consensus unit is used for sending the rating information of the target driver account to a consensus node in a blockchain network so that the consensus node calculates the rating verification information of the target driver account according to the feedback information, and matches the rating verification information of the target driver account with the rating information of the target driver account, and if the rating verification information of the target driver account is consistent with the rating information of the target driver account, a consensus confirmation message is returned;

The push order unit is used for confirming that the rating information of the target driver account is valid under the condition that the ratio of the number of the received consensus confirming messages to the number of the consensus nodes reaches a preset consensus ratio, pushing a riding service order to the target driver account according to the rating information of the target driver account, wherein the riding service order comprises a riding starting position;

the pushing order unit pushing the riding service order to the target driver account according to the rating information of the target driver account comprises the following steps:

7. A server comprising a processor, a memory and a transceiver, the processor, the memory and the transceiver being interconnected, wherein the transceiver is configured to receive or transmit data, the memory is configured to store program code, and the processor is configured to invoke the program code to perform the net-jockey driver credit management method of any of claims 1-5.

8. A storage medium storing a computer program, the computer program comprising program instructions; the program instructions, when executed by a processor, cause the processor to perform the net restraint vehicle driver credit management method of any one of claims 1-5.