CN117236739A - Method and system for evaluating service quality of driver, intelligent cabin and electronic equipment - Google Patents
Method and system for evaluating service quality of driver, intelligent cabin and electronic equipment Download PDFInfo
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Abstract
The application discloses a method, a system, an intelligent cabin and electronic equipment for evaluating service quality of a driver, wherein the method comprises the following steps: acquiring service quality data of a driver according to the active scoring of passengers, the embedded point data of the vehicle terminal and the traffic violation data; constructing a driver service evaluation index from a plurality of dimensions; and calculating according to the driver service quality data and the driver service evaluation index to obtain a comprehensive score of the driver, and determining the grade evaluation of the driver service. According to the method, the scoring index of the system is constructed according to three aspects of active scoring of carpool passengers, scoring of driver behaviors and scoring of traffic violations, and carpooling service matched with a carpool order is comprehensively scored according to a data model. The technical scheme of the application improves the accuracy, comprehensiveness and standardization of the grading result of the network taxi-taking and taxi-sharing service, and ensures the fairness of the network taxi-taking and taxi-sharing platform on the evaluation of the service quality of the driver.
Description
Technical Field
The application relates to an evaluation method, an evaluation system, an intelligent cabin and electronic equipment, in particular to a driver service quality evaluation method, an evaluation system, an intelligent cabin and electronic equipment.
Background
Currently, with the rapid development of sharing economy, a carpool service occupies an important position in a network booking service. Because the carpooling service has non-specialized characteristics, the existing evaluation network has the following defects when about the carpooling service quality:
1. the journey service scoring is carried out only from a single aspect of the passenger, and the situation that the passenger maliciously scores low, the driver gets the way or the passenger is forced to score high is caused, so that the final scoring result is inaccurate.
2. The driving behavior scoring is only carried out from a single aspect of the driver, and the situation that the driver drives stably but passengers are not satisfied to score low scores and the driver reports own illegal withholding score information is caused, so that the final scoring is incomplete and unreliable.
In view of the foregoing, the prior art has failed to meet the needs of the individual, and there is a need for improvement.
Disclosure of Invention
The application aims to provide a method, a system, an intelligent cabin and electronic equipment for evaluating the service quality of a driver, which solve the defects existing in the prior art.
The application provides the following scheme:
a driver service quality assessment method specifically comprises the following steps:
acquiring service quality data of a driver according to the active scoring of passengers, the embedded point data of the vehicle terminal and the traffic violation data;
constructing a driver service evaluation index from a plurality of dimensions;
and calculating according to the driver service quality data and the driver service evaluation index to obtain a comprehensive score of the driver, and determining the grade evaluation of the driver service.
Further, the step of obtaining the service quality data of the driver according to the active scoring of the passenger, the embedded point data of the vehicle terminal and the traffic violation data specifically comprises the following steps:
acquiring active scoring data of passengers;
the embedded point data of the vehicle-mounted terminal comprises driving behavior, language, expression and fatigue driving data of a driver in the order process;
the traffic violation data is the number of times of collecting traffic violations of a driver in a period of time.
Further, the passenger initiative score data is a five-point system, and the vehicle-mounted terminal buried point data is a five-point system.
Further, the constructing the driver service evaluation index from a plurality of dimensions specifically includes: passenger dimension, driver dimension, traffic violation dimension, wherein:
the passenger dimensions include: the method comprises the following steps of taking on punctuality, route rationality, neatness of driver clothes, neatness of clothes of other carpool passengers, civilization of driver civilization, platform coupon patch and comfort of environment in a vehicle;
the driver dimension includes: the number of times of sudden acceleration, the number of times of sudden braking, the time of making a call in driving, the number of times of changing lanes, the number of times of making a sharp turn, the number of times of exceeding the road limit speed, the number of times of overdriving language, the number of times of anger expression, the time of continuous driving and the number of times of making a yawning;
traffic violation dimensions include: item 1, item 2, item 3, item 6, item 12.
Further, the calculating according to the driver service quality data and the driver service evaluation index, obtaining a comprehensive score of the driver, and determining a class evaluation of the driver service, specifically includes:
carrying out data standardization processing on the initiative score of the passenger, the score of the behavior of the driver and the number of traffic violations;
calculating the score of each driver of the passenger initiative score;
calculating a score for each driver of the driver behavior scores;
calculating the score of the driver under the condition of violation;
based on the data obtained in the previous four steps, the index is calculated to obtain a result, and the service quality of the carpooling driver is determined by referring to the result.
Further, the data normalization processing is specifically performed;
the calculation is carried out according to the evaluation index of the driver service, and specifically comprises the following steps: and calculating indexes according to a calculation formula and combining with preset weights, and determining the service quality of a driver.
A driver service quality evaluation system specifically comprises:
the driver service quality data acquisition module acquires the driver service quality data according to the active scoring of passengers, the vehicle-mounted point burying data and the traffic violation data;
the driver service evaluation construction module constructs driver service evaluation indexes from multiple dimensions;
and the driver service grade evaluation calculation module calculates according to the driver service quality data and the driver service evaluation index to obtain a comprehensive score of the driver and determine the grade evaluation of the driver service.
An intelligent cabin in which a driver service quality assessment system is provided.
An electronic device, comprising: the device comprises a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory are communicated with each other through the communication bus; the memory has stored therein a computer program which, when executed by the processor, causes the processor to perform the steps of the method.
A computer readable storage medium storing a computer program executable by an electronic device, which when run on the electronic device causes the electronic device to perform the steps of the method.
Compared with the prior art, the application has the following advantages: according to the method, the scoring index of the system is constructed according to three aspects of active scoring of carpool passengers, scoring of driver behaviors and scoring of traffic violations, and carpooling service matched with a carpool order is comprehensively scored according to a data model. The technical scheme of the application improves the accuracy, comprehensiveness and standardization of the grading result of the network taxi-taking and taxi-sharing service, and ensures the fairness of the network taxi-taking and taxi-sharing platform on the evaluation of the service quality of the driver.
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In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings that are needed in the description of the embodiments or the prior art will be briefly described, and it is obvious that the drawings in the description below are some embodiments of the present application, and other drawings can be obtained according to the drawings without inventive effort for a person skilled in the art.
Fig. 1 is a flowchart of a driver service quality assessment method.
Fig. 2 is a diagram of the architecture of the driver quality of service assessment system.
FIG. 3 is a flowchart showing the specific steps of a driver quality of service assessment system in an embodiment of the present application.
FIG. 4 is a flowchart of index calculation in an embodiment of the application.
Fig. 5 is a schematic structural view of the electronic device.
Detailed Description
The following description of the embodiments of the present application will be made apparent and fully in view of the accompanying drawings, in which some, but not all embodiments of the application are shown. 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.
The method for evaluating the service quality of the driver shown in fig. 1 is applied to the service fields of network taxi taking, taxi sharing, shared automobiles and the like, and specifically comprises the following steps:
step S1, acquiring service quality data of a driver according to active scoring of passengers, vehicle-mounted point burying data and traffic violation data;
specifically, acquiring active scoring data of passengers;
the embedded point data of the vehicle-mounted terminal comprises driving behavior, language, expression and fatigue driving data of a driver in the order process;
the traffic violation data is the number of times of collecting traffic violations of a driver in a period of s.
Illustratively, the passenger initiative-scoring data is a five-point system, and the vehicle-mounted point data is a five-point system.
S2, constructing a driver service evaluation index from multiple dimensions;
specifically, the construction of the driver service evaluation index from multiple dimensions specifically includes: passenger dimension, driver dimension, traffic violation dimension, wherein:
the passenger dimensions include: the method comprises the following steps of taking on punctuality, route rationality, neatness of driver clothes, neatness of clothes of other carpool passengers, civilization of driver civilization, platform coupon patch and comfort of environment in a vehicle;
the driver dimension includes: the number of times of sudden acceleration, the number of times of sudden braking, the time of making a call in driving, the number of times of changing lanes, the number of times of making a sharp turn, the number of times of exceeding the road limit speed, the number of times of overdriving language, the number of times of anger expression, the time of continuous driving and the number of times of making a yawning;
traffic violation dimensions include: item 1, item 2, item 3, item 6, item 12.
And step S3, calculating according to the driver service quality data and the driver service evaluation index to obtain a comprehensive score of the driver, and determining the grade evaluation of the driver service.
Specifically, data standardization processing is carried out on the initiative score of the passenger, the score of the behavior of the driver and the number of traffic violations;
calculating the score of each driver of the passenger initiative score;
calculating a score for each driver of the driver behavior scores;
calculating the score of the driver under the condition of violation;
based on the data obtained in the previous four steps, the index is calculated to obtain a result, and the service quality of the carpooling driver is determined by referring to the result.
The data normalization process is specifically performed by an exemplary method;
the calculation is carried out according to the evaluation index of the driver service, and specifically comprises the following steps: and calculating indexes according to a calculation formula and combining with preset weights, and determining the service quality of a driver.
For the purposes of simplicity of explanation, the method steps disclosed in the above embodiments are depicted as a series of acts in a combination, but it should be understood by those skilled in the art that the embodiments of the present application are not limited by the order of acts described, as some steps may occur in other order or concurrently in accordance with the embodiments of the present application. Further, those skilled in the art will appreciate that the embodiments described in the specification are presently preferred embodiments, and that the acts are not necessarily required by the embodiments of the application.
Any process or method description that is flow chart or otherwise described may be understood as: means, segments, or portions of code representing executable instructions including one or more steps of a particular logic function or procedure are illustrated, and the scope of the preferred embodiment of the present application includes additional implementations in which functions may be executed out of order from that shown or discussed, including performing the functions in a substantially simultaneous manner or in an inverse order, or executing computer instructions in a loop, branch, etc. program structure and implementing the corresponding functions, depending on the function involved, as would be understood by those skilled in the art in practicing the embodiments of the present application.
The driver service quality evaluation system shown in fig. 2 specifically includes:
the driver service quality data acquisition module acquires the driver service quality data according to the active scoring of passengers, the vehicle-mounted point burying data and the traffic violation data;
constructing a driver service evaluation index from a plurality of dimensions;
and calculating according to the driver service quality data and the driver service evaluation index to obtain a comprehensive score of the driver, and determining the grade evaluation of the driver service.
It should be noted that, although only some basic functional modules are disclosed in the embodiment of the present application, the composition of the present system is not meant to be limited to the above basic functional modules, but rather, the present embodiment is meant to express: one skilled in the art can add one or more functional modules to the basic functional module to form an infinite number of embodiments or technical solutions, that is, the system is open rather than closed, and the scope of protection of the claims is not limited to the disclosed basic functional module because the present embodiment only discloses individual basic functional modules. Meanwhile, for convenience of description, the above devices are described as being functionally divided into various units and modules, respectively. Of course, the functions of the units, modules may be implemented in one or more pieces of software and/or hardware when implementing the application.
The embodiments of the system described above are merely illustrative, for example: wherein each functional module, unit, subsystem, etc. in the system may or may not be physically separate, or may not be a physical unit, i.e. may be located in the same place, or may be distributed over a plurality of different systems and subsystems or modules thereof. Those skilled in the art may select some or all of the functional modules, units or subsystems according to actual needs to achieve the purposes of the embodiments of the present application, and in this case, those skilled in the art may understand and implement the present application without any inventive effort.
The specific steps of the machine service quality assessment system shown in fig. 3 are as follows:
1. data source
(1.1) passengers: and acquiring the initiative grading data of the passengers. After the current carpool order is completed, the passenger performs satisfaction degree scoring on each index in the index scoring table (table) of the current carpool order, and the higher the score is, the higher the satisfaction degree of the carpool passenger on the index in the current order is.
Form 1 Car pooling passenger satisfaction
(1.2) vehicle end burial point: and the driving behavior and language, expression, fatigue driving and other data of the driver in the order process. After the current carpooling order is completed, marking buried data of each index in an index scoring table (table) in the carpooling journey of a driver, and scoring the indexes by adopting a five-point grading method, wherein the lower the number of times or duration of bad driving behaviors of the driver is, the higher the scored satisfaction degree is.
Table 2 satisfaction of driving behavior of carpooling driver
(1.3) traffic violation data: and collecting the frequency data of traffic violations of the carpooling drivers in a period of time.
2. Comprehensive carpooling service index system
The method starts from three dimensions of carpool passengers, driver behaviors and traffic violations, combines the characteristics of actual carpool services, and constructs 23 indexes of 3 dimensions reflecting the service quality of carpool drivers.
Table 3 evaluation dimension and index
The index calculation flow shown in fig. 4 specifically includes:
(3.1) the calculation step flow chart is as follows:
(1) And (5) carrying out standardized processing on the initiative score of the passenger, the score of the behavior of the driver and the traffic violation times.
(2) A score is calculated for each driver that the passenger is actively scoring.
(3) A score is calculated for each driver of the driver behavior score.
(4) A score of the driver in the event of a violation is calculated.
(5) And (5) calculating the index based on the data obtained in the previous four steps to obtain a result. The quality of service of the carpool driver is determined with reference to the result.
(3.2) data normalization processing
M samples and n indexes are provided, and the j index value of the sample i is x ij I=1, 2, …, m; j=1, 2, …, n, the index value matrix X is constructed as follows:
because the original data have data such as scores, times and the like, in order to unify the comparison standard and ensure the reliability of the result, the standard processing is required to be carried out on the index original data value, all values are unified between [0,1], and the influence of different indexes due to different attributes is eliminated. The formula of the data normalization process is as follows:
wherein x' ij The value of the j index which is the ith sample after normalization
(3.3) calculation model of index
The calculation formula is as follows:
Score i a composite quality of service score for the ith driver.
The first part of the formula lambda i ×Α i The score for the passenger to the pooling driver i is evaluated, and the higher the value is, the higher the satisfaction degree of the service quality of the passenger to the pooling driver is, and the dissatisfaction of the service quality of the passenger to the pooling passenger is indicated. Wherein A is i For the calculation score of driver i, the calculation formula is as follows:
wherein the method comprises the steps ofx′ ij Is normalizedThe number of the product is the number,on the one hand, normalizing the value and on the other hand, controlling the value to the interval 0,1]Inner, i.e. 0.ltoreq.A e ≤1。
λ i The specific weights are as follows:
Α i a score is calculated for driver i.
For a certain index x' j Index value x' ij The greater the gap between the two, the greater the effect of the index in the active evaluation of the passengers, which means that the greater the importance of the index to the evaluation of the quality of service of the driver's carpooling,the smaller the size; if the index values of a certain index are all equal, the index does not play a role in the passenger's active evaluation.
The second part of the formula beta i ×Β i For the score of the behavior of the carpool driver i in the journey of the carpool order, the lower the value is, the less bad driving behavior of the driver in the journey is, the higher the service quality satisfaction degree is, otherwise, the service quality satisfaction degree is low. Wherein beta is i The score is calculated for the driving behavior of the driver i in the journey, and the calculation process and the formula are the same as the formula (2).
Wherein the method comprises the steps ofx′ ij For the values after the normalization, beta of 0.ltoreq.beta e ≤1。
For a certain index x' j Index value x' ij The larger the gap of (2)The greater the effect that the index plays in the driver behavior assessment, the greater the importance of the index to the assessment of the quality of service of the driver's carpool,the smaller the size; if the index values of an index are all equal, the index does not play a role in the driver behavior evaluation.
β i The specific weights are as follows:
Β i a score is calculated for the driving behaviour of driver i in the journey.
The third part of the formulaFor the scoring of traffic driving, the higher the index is, the higher the number of violations and score of the driver are, and the higher the evaluation effect on the service quality is. μ is the weight corresponding to the traffic violation score, and the specific weight is as follows:
where the total violation score of the driver = 1 minute by 1+ 2 minute by 2+ 3 minute by 3+ 6 minute by 6+ 12 minute by 12.The mean of the scores after normalization for driver violations.
The thought of the calculation formula shows that when the comprehensive score is 0 point or below, the service quality of the current driver is very poor; when the composite score is above 0, the service quality of the current driver is better. With 0 as a boundary, the result >0 is obtained, and the larger the value, the better the quality of service representing the driver. The result obtained is <0 and the smaller this value, the worse the quality of service representing the driver.
4. Comprehensive evaluation grade
After the comprehensive score of the driver is calculated, final grade evaluation is performed according to the numerical range in the table. If Score is less than or equal to 0, the quality of the carpool service representing the driver is very poor; if 0< score is less than or equal to 0.3, the quality of service of the carpool representing the driver is general; if Score >0.3, the quality of service of the carpool representing the driver is very good.
The calculation model refers to various factors to evaluate the service quality of the carpool driver so as to achieve the most accurate, comprehensive and reliable evaluation result.
The following describes the implementation of the embodiment of the present application in a specific application scenario with reference to data:
1. scoring data of 5 drivers are obtained from passengers, driving behaviors of the drivers and traffic violation information, and are shown in the following table:
2. the raw data is normalized, and the pick-up timeliness of the driver 1 is taken as an example, and the calculation process is as follows:
the results of normalization of the remaining raw data are shown in the following table:
3. calculating the score of each dimension and the comprehensive score
(3.1) calculating the scores of the first part and the second part of the formula, wherein the passenger score and the driving score are similar in calculation process, and the pick-up timeliness index of the driver 1 is taken as an example, and the calculation process is as follows:
other passengers of the driver 1 can be obtained through active scoring and driving behavior indexes of the driver in the same wayThe results are shown in the following table:
the final score a of the driver 1's passenger active score 1 The method comprises the following steps:
/>
(3.2) calculating a score of the third part of the formula, by way of example for driver 1, as follows:
total violation score of driver 1 = 3 x 1+1 x 2+0 x 3+0 x 6+0 x 12 = 5, and the corresponding weight μ is according to equation (6) 1 ＝0.1。
The violation score for driver 1 is:
(3.3) calculating a composite score, exemplified by driver 1, as follows:
from the above steps, A can be calculated 1 =0.625, its corresponding weight λ according to formula (3) 1 ＝0.5，Β 1 =0.332, its corresponding weight β according to equation (5) 1 ＝0.2，
Its corresponding weight mu 1 =0.1, the composite score for driver 1 is:
Score 1 ＝0.5×0.625+0.2×0.332-0.1×0.015＝0.3639
the calculation process of the comprehensive scores of the rest drivers is the same as that of the driver 1, and the comprehensive scores of the rest drivers are shown in the following table:
| passenger scoring | Weighting of | Driving score | Weighting of | Traffic violation score | Weighting of | Comprehensive score | |
| Driver 1 | 0.625 | 0.5 | 0.332 | 0.2 | 0.015 | 0.1 | 0.3639 |
| Driver 2 | 0.445 | 0.3 | 0.683 | 0.2 | 0.317 | 0.6 | 0.0801 |
| Driver 3 | 0.688 | 0.3 | 0.291 | 0.2 | 0.400 | 1 | -0.1354 |
| Driver 4 | 0.225 | 0.2 | 0.321 | 0.2 | 0.200 | 0.6 | -0.0108 |
| Driver 5 | 0.318 | 0.3 | 0.484 | 0.2 | 0.317 | 1 | -0.1245 |
From the above table, the comprehensive scores of the drivers can be seen that the evaluation level of the driver 1 is very good, the evaluation level of the driver 2 is general, and the evaluation levels of the drivers 3 to 5 are very poor.
As shown in fig. 5, on the basis of the method and the system for evaluating the service quality of the driver, the application also provides an intelligent cabin, electronic equipment and a storage medium corresponding to the method and the system:
an intelligent cabin in which a driver service quality assessment system is provided.
An electronic device, comprising: the device comprises a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory are communicated with each other through the communication bus; the memory has a computer program stored therein which, when executed by the processor, causes the processor to perform the steps of a driver quality of service assessment method.
A computer readable storage medium storing a computer program executable by an electronic device, which when run on the electronic device causes the electronic device to perform the steps of a driver quality of service assessment method.
As shown in fig. 5, the apparatus 600 includes a computing unit 601 that can perform various appropriate actions and processes according to a computer program stored in a read only memory 602 (ROM) or a computer program loaded from a storage unit 608 into a random access memory 603 (RAM). In RAM, various programs and data required for the operation of the device 600 may also be stored. The computing unit 601, ROM and RAM are connected to each other by a bus 604. An input/output (I/O) interface 605 is also connected to bus 604.
Various components in the device 600 are connected to the I/O interface 605, including: an input unit 606 such as a keyboard, mouse, etc.; an output unit 607 such as various types of displays, speakers, and the like; a storage unit 608, such as a magnetic disk, optical disk, or the like; and a communication unit 609 such as a network card, modem, wireless communication transceiver, etc. The communication unit 609 allows the device 600 to exchange information/data with other devices via a computer network, such as the internet, and/or various telecommunication networks.
The computing unit 601 may be a variety of general and/or special purpose processing components having processing and computing capabilities. Some examples of computing unit 601 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various specialized Artificial Intelligence (AI) computing chips, various computing units running machine learning model algorithms, a Digital Signal Processor (DSP), and any suitable processor, controller, microcontroller, etc. The computing unit 601 performs the various methods and processes described above, for example, obtaining driver quality of service data based on passenger initiative score, vehicle-end point data, and traffic violation data. For example, in some embodiments, the driver quality of service assessment method may be implemented as a computer software program tangibly embodied on a machine-readable medium, such as storage unit 608. In some embodiments, part or all of the computer program may be loaded and/or installed onto the device 600 via the ROM 602 and/or the communication unit 609. When the computer program is loaded into the RAM603 and executed by the computing unit 601, one or more of the steps of driver quality of service assessment described above may be performed. Alternatively, in other embodiments, the computing unit 601 may be configured to perform driver quality of service assessment by any other suitable means (e.g., by means of firmware).
Various implementations of the systems and techniques described here above can be implemented in digital electronic circuitry, integrated circuit systems, field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), systems On Chip (SOCs), complex Programmable Logic Devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs, the one or more computer programs may be executed and/or interpreted on a programmable system including at least one programmable processor, which may be a special purpose or general-purpose programmable processor, that may receive data and instructions from, and transmit data and instructions to, a storage system, at least one input device, and at least one output device.
Program code for carrying out methods of the present application may be written in any combination of one or more programming languages. These program code may be provided to a processor or controller of a general purpose computer, special purpose computer, or other device for performing a driver quality of service assessment method, such that the program code, when executed by the processor or controller, causes the functions/operations specified in the flowchart and/or block diagram to be performed. The program code may execute entirely on the machine, partly on the machine, as a stand-alone software package, partly on the machine and partly on a remote machine or entirely on the remote machine or server.
In the context of the present application, a machine-readable medium may be a tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. The machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. The machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
To provide for interaction with a user, the systems and techniques described here can be implemented on a computer having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and pointing device (e.g., a mouse or trackball) by which a user can provide input to the computer. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic input, speech input, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a background component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such background, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), wide Area Networks (WANs), and the internet.
The computer system may include a client and a server. The client and server are typically remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server may be a cloud server, a server of a distributed system, or a server incorporating a blockchain.
It should be appreciated that various forms of the flows shown above may be used to reorder, add, or delete steps. For example, the steps described in the present application may be performed in parallel, sequentially, or in a different order, so long as the desired results of the technical solution disclosed in the present application can be achieved, and are not limited herein.
It will be understood by those skilled in the art that all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs unless defined otherwise. It will be further understood that terms, such as those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the prior art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein.
It should be noted that certain terms are used throughout the description and claims to refer to particular elements. It will be appreciated by those of ordinary skill in the art that different manufacturers, manufacturers may refer to a component by different names. The description and claims do not differ by the way in which they distinguish between components, but rather differ by the way in which they function.
The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
Furthermore, those skilled in the art will appreciate that while some embodiments described herein include some features but not others included in other embodiments, combinations of features of different embodiments are meant to be within the scope of the application and form different embodiments. For example: any of the embodiments claimed in the claims may be used in any combination of the embodiments of the application.
In the description of the present specification, the descriptions of the terms "one embodiment," "example," "specific example," and the like, mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present application. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
In addition, the technical solutions of the embodiments of the present application may be combined with each other, but it is necessary to be based on the fact that those skilled in the art can implement the technical solutions, and when the technical solutions are contradictory or cannot be implemented, the combination of the technical solutions should be considered as not existing, and not falling within the scope of protection claimed by the present application.
All of the features disclosed in this specification, or all of the steps in a method or process disclosed, may be combined in any combination, except for mutually exclusive features and/or steps. Any feature disclosed in this specification may be replaced by alternative features serving the same or equivalent purpose, unless expressly stated otherwise. That is, each feature is one example only of a generic series of equivalent or similar features, unless expressly stated otherwise. Like reference numerals refer to like elements throughout the specification.
Those skilled in the art will appreciate that the modules in the apparatus of the embodiments may be adaptively changed and disposed in one or more apparatuses different from the embodiments. The modules or units or components of the embodiments may be combined into one module or unit or component and, furthermore, they may be divided into a plurality of sub-modules or sub-units or sub-components. Any combination of all features disclosed in this specification (including the corresponding claims, abstract and drawings), and all of the processes or units of any method or apparatus so disclosed, may be used in combination, except insofar as at least some of such features and/or processes or units are mutually exclusive. Each feature disclosed in this specification (including the corresponding claims, abstract and drawings) may be replaced by alternative features serving the same, equivalent or similar purpose, unless expressly stated otherwise.
In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other manners, for example: the device embodiments described above are merely illustrative; for example: the division of the units is only one logic function division, and other division modes can be adopted in actual implementation; for example, multiple units or components may be combined or may be integrated into another system, or some features may be omitted, or certain instructions not executed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other form not shown.
In the present application, the term "exemplary" is used to mean "serving as an example, instance, or illustration. Any embodiment described as "exemplary" in this disclosure is not necessarily to be construed as preferred or advantageous over other embodiments. The following description is presented to enable any person skilled in the art to make and use the application. In the following description, details are set forth for purposes of explanation. It will be apparent to one of ordinary skill in the art that the present application may be practiced without these specific details. In other instances, well-known structures and processes have not been described in detail so as not to obscure the description of the application with unnecessary detail. Thus, the present application is not intended to be limited to the embodiments shown, but is to be accorded the widest scope consistent with the principles and features disclosed herein.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present application, and not for limiting the same; although the application has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some or all of the technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit of the application.
Claims (10)
1. The method for evaluating the service quality of the driver is characterized by comprising the following steps of:
acquiring service quality data of a driver according to the active scoring of passengers, the embedded point data of the vehicle terminal and the traffic violation data;
constructing a driver service evaluation index from a plurality of dimensions;
and calculating according to the driver service quality data and the driver service evaluation index to obtain a comprehensive score of the driver, and determining the grade evaluation of the driver service.
2. The method for evaluating the service quality of a driver according to claim 1, wherein the step of obtaining the service quality data of the driver according to the passenger initiative score, the vehicle-mounted point data and the traffic violation data comprises the following steps:
acquiring active scoring data of passengers;
the embedded point data of the vehicle-mounted terminal comprises driving behavior, language, expression and fatigue driving data of a driver in the order process;
the traffic violation data is the number of times of collecting traffic violations of a driver in a period of time.
3. The method of claim 2, wherein the passenger active scoring data is a five-point system and the vehicle-end point data is a five-point system.
4. The method for evaluating the service quality of a driver according to claim 1, wherein the construction of the service evaluation index of the driver from a plurality of dimensions specifically comprises: passenger dimension, driver dimension, traffic violation dimension, wherein:
the passenger dimensions include: the method comprises the following steps of taking on punctuality, route rationality, neatness of driver clothes, neatness of clothes of other carpool passengers, civilization of driver civilization, platform coupon patch and comfort of environment in a vehicle;
the driver dimension includes: the number of times of sudden acceleration, the number of times of sudden braking, the time of making a call in driving, the number of times of changing lanes, the number of times of making a sharp turn, the number of times of exceeding the road limit speed, the number of times of overdriving language, the number of times of anger expression, the time of continuous driving and the number of times of making a yawning;
traffic violation dimensions include: item 1, item 2, item 3, item 6, item 12.
5. The method for evaluating the service quality of a driver according to claim 1, wherein the calculating according to the service quality data of the driver and the service evaluation index of the driver obtains a composite score of the driver, and the determining the rating of the service of the driver specifically comprises:
carrying out data standardization processing on the initiative score of the passenger, the score of the behavior of the driver and the number of traffic violations;
calculating the score of each driver of the passenger initiative score;
calculating a score for each driver of the driver behavior scores;
calculating the score of the driver under the condition of violation;
based on the data obtained in the previous four steps, the index is calculated to obtain a result, and the service quality of the carpooling driver is determined by referring to the result.
6. The method for evaluating the quality of service of a driver according to claim 5, wherein,
the data normalization processing is specifically performed;
the calculation is carried out according to the evaluation index of the driver service, and specifically comprises the following steps: and calculating indexes according to a calculation formula and combining with preset weights, and determining the service quality of a driver.
7. The system for evaluating the service quality of the driver is characterized by comprising the following specific components:
the driver service quality data acquisition module acquires the driver service quality data according to the active scoring of passengers, the vehicle-mounted point burying data and the traffic violation data;
the driver service evaluation construction module constructs driver service evaluation indexes from multiple dimensions;
and the driver service grade evaluation calculation module calculates according to the driver service quality data and the driver service evaluation index to obtain a comprehensive score of the driver and determine the grade evaluation of the driver service.
8. An intelligent cockpit, characterized in that the intelligent cockpit is provided with the driver service quality assessment system of claim 7.
9. An electronic device, comprising: the device comprises a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory are communicated with each other through the communication bus; the memory has stored therein a computer program which, when executed by the processor, causes the processor to perform the steps of the method of any of claims 1 to 6.
10. A computer readable storage medium, characterized in that it stores a computer program executable by an electronic device, which, when run on the electronic device, causes the electronic device to perform the steps of the method of any one of claims 1 to 6.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202311067110.5A CN117236739A (en) | 2023-08-23 | 2023-08-23 | Method and system for evaluating service quality of driver, intelligent cabin and electronic equipment |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202311067110.5A CN117236739A (en) | 2023-08-23 | 2023-08-23 | Method and system for evaluating service quality of driver, intelligent cabin and electronic equipment |
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| CN202311067110.5A Pending CN117236739A (en) | 2023-08-23 | 2023-08-23 | Method and system for evaluating service quality of driver, intelligent cabin and electronic equipment |
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| CN (1) | CN117236739A (en) |
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