CN117029863A - Feedback type traffic path planning method and system - Google Patents
Feedback type traffic path planning method and system Download PDFInfo
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Abstract
The invention relates to the technical field of path planning, and particularly discloses a feedback traffic path planning method and system, wherein the method comprises the steps of receiving an origin and a destination input by a user, analyzing the origin and the destination, and obtaining a passing scheme taking a passing mode as a tag; identifying the passing schemes under different passing modes, and reserving a preset number of passing schemes; pushing the passing scheme to users, and acquiring feedback information of each user in real time; and counting feedback information of all users within a preset period, and correcting the reserved traffic scheme according to the feedback information. When the traffic scheme is pushed, the feedback information of the user aiming at the traffic scheme is received in real time, the traffic scheme is screened and updated according to the received feedback information, the user influence is introduced in the determination process of the traffic scheme, and the participation of the user is greatly improved.
Description
Technical Field
The invention relates to the technical field of path planning, in particular to a feedback type traffic path planning method and system.
Background
Traffic routes are road systems built to provide movement and traffic of people and goods between different sites. They are part of the urban and rural infrastructure. Along with the development of society and technology, road networks are developed, convenience is brought, meanwhile, requirements on pedestrians are higher and higher, most obvious ways of going to a certain destination are quite numerous, and the pedestrians need to select a proper road from a plurality of destinations, so that the situation is very difficult.
Based on the above, the path planning service is increasingly applied, but the existing path planning service is updated by a management side mostly, and cannot be updated by a user, so how to improve the influence degree of the user on the path planning scheme is a technical problem to be solved by the technical scheme of the invention.
Disclosure of Invention
The invention aims to provide a feedback type traffic path planning method and system, which are used for solving the problems in the background technology.
In order to achieve the above purpose, the present invention provides the following technical solutions:
a method of feedback traffic path planning, the method comprising:
receiving an origin and a destination input by a user, analyzing the origin and the destination, and acquiring a passing scheme taking a passing mode as a tag;
identifying the passing schemes under different passing modes, and reserving a preset number of passing schemes;
pushing the passing scheme to users, and acquiring feedback information of each user in real time;
and counting feedback information of all users within a preset period, and correcting the reserved traffic scheme according to the feedback information.
As a further scheme of the invention: the step of receiving the origin and destination input by the user, analyzing the origin and destination, and obtaining a transit scheme in a transit way as a tag includes:
receiving an originating place and a destination input by a user according to a preset query box; in the receiving process, matching the location in real time based on big data technology;
inquiring a communication path of an origin and a destination based on map service, and selecting and sequencing the paths according to the total distance of the communication path; wherein, the selection process contains the upper limit of the distance input by the staff;
inquiring road section information of the communication paths, and carrying out matching classification on the communication paths according to the road section information to obtain a communication path group taking a passing mode as a label; the traffic modes in different communication path groups have no dissimilarity;
inquiring the motion parameters of the passing mode, and counting the motion parameters and the communication path group to obtain a passing scheme taking the passing mode as a label; wherein the motion parameter includes a motion speed.
As a further scheme of the invention: the step of identifying the passing schemes under different passing modes and reserving the preset number of passing schemes comprises the following steps:
receiving an evaluation index uploaded by a management party; the evaluation index comprises a time index, a journey index and an environment index;
limiting the passing schemes based on the evaluation indexes, and reserving a preset number of passing schemes;
the evaluation index is connected with the updating port, and the evaluation index is updated in real time based on the updating port.
As a further scheme of the invention: the step of pushing the traffic scheme to the users and acquiring feedback information of each user in real time comprises the following steps:
pushing the passing scheme to a user, and acquiring numerical information and text information fed back by the user in real time;
when the feedback information is text information, inputting the text information into a trained part-of-speech analysis model to obtain text information with part-of-speech marks;
extracting nouns according to the part-of-speech marks, inputting the nouns into a preset hyponymy word stock, and extracting first words;
inquiring the scores of the initial words according to a preset score library, and converting the text information into scores.
As a further scheme of the invention: the step of pushing the traffic scheme to the user and acquiring the numerical information and the text information fed back by the user in real time comprises the following steps:
inquiring the matching degree of each passing scheme and the evaluation index in the limiting process;
selecting a probability according to the matching degree determination scheme, and selecting a target passing scheme from the contracted passing schemes according to the selected probability;
pushing the target passing scheme to a user and receiving feedback information of the user; the feedback information and the target passing scheme contain mapping labels.
As a further scheme of the invention: the step of counting feedback information of all users within a preset period and correcting the reserved traffic scheme according to the feedback information comprises the following steps:
counting feedback information of all users corresponding to each passing scheme in a preset period;
extracting numerical information and scores in the feedback information, and inputting a preset conversion formula to obtain a comprehensive value;
screening the traffic scheme according to the comprehensive value;
；/>；
wherein Z is a comprehensive value,for the ith number including the score, C is a constant; />For the corresponding first order function of the ith number value comprising the score +.>And->Is a preset parameter; n is the total number of values.
The technical scheme of the invention also provides a feedback traffic path planning system, which comprises:
the system comprises a passing scheme acquisition module, a passing scheme identification module and a passing scheme identification module, wherein the passing scheme acquisition module is used for receiving an origin and a destination input by a user, analyzing the origin and the destination and acquiring a passing scheme taking a passing mode as a tag;
the traffic scheme identification module is used for identifying traffic schemes under different traffic modes and reserving a preset number of traffic schemes;
the feedback information pushing module is used for pushing the passing scheme to the users and acquiring feedback information of each user in real time;
and the traffic scheme correction module is used for counting feedback information of all users in a preset period and correcting the reserved traffic scheme according to the feedback information.
As a further scheme of the invention: the passing scheme acquisition module comprises:
the location receiving unit is used for receiving an originating location and a destination input by a user according to a preset query frame; in the receiving process, matching the location in real time based on big data technology;
the selecting and sorting unit is used for inquiring the communication paths of the origin and the destination based on the map service, and selecting and sorting the paths according to the total distance of the communication paths; wherein, the selection process contains the upper limit of the distance input by the staff;
the matching classification unit is used for inquiring the road section information of the communication paths, and carrying out matching classification on the communication paths according to the road section information to obtain a communication path group taking a passing mode as a label; the traffic modes in different communication path groups have no dissimilarity;
the statistics unit is used for inquiring the motion parameters of the passing mode and counting the motion parameters and the communication path group to obtain a passing scheme taking the passing mode as a label; wherein the motion parameter includes a motion speed.
As a further scheme of the invention: the passing scheme identification module comprises:
the evaluation index receiving unit is used for receiving the evaluation index uploaded by the management party; the evaluation index comprises a time index, a journey index and an environment index;
a scheme limiting unit for limiting the passing schemes based on the evaluation index in a one-to-one manner and reserving a preset number of passing schemes;
the evaluation index is connected with the updating port, and the evaluation index is updated in real time based on the updating port.
As a further scheme of the invention: the feedback information pushing module comprises:
the information receiving unit is used for pushing the traffic scheme to a user and acquiring numerical information and text information fed back by the user in real time;
the part-of-speech analysis unit is used for inputting the text information into a trained part-of-speech analysis model to obtain the text information with the part-of-speech mark when the feedback information is the text information;
the noun conversion unit is used for extracting nouns according to the part-of-speech marks, inputting the nouns into a preset hyponymy word stock and extracting initial words;
and the scoring query unit is used for querying the scores of the first words according to a preset scoring library and converting the text information into scores.
Compared with the prior art, the invention has the beneficial effects that: when the traffic scheme is pushed, the feedback information of the user aiming at the traffic scheme is received in real time, the traffic scheme is screened and updated according to the received feedback information, the user influence is introduced in the determination process of the traffic scheme, and the participation of the user is greatly improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following description will briefly introduce the drawings that are needed in the embodiments or the description of the prior art, and it is obvious that the drawings in the following description are only some embodiments of the present invention.
Fig. 1 is a flow chart diagram of a feedback traffic path planning method.
Fig. 2 is a first sub-flowchart of a feedback traffic path planning method.
Fig. 3 is a second sub-flowchart of the feedback traffic path planning method.
Fig. 4 is a third sub-flowchart of the feedback traffic path planning method.
Fig. 5 is a fourth sub-flowchart of the feedback traffic path planning method.
Fig. 6 is a block diagram of the composition of a feedback traffic path planning system.
Detailed Description
In order to make the technical problems, technical schemes and beneficial effects to be solved more clear, the invention is further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
Fig. 1 is a flow chart of a feedback traffic path planning method, and in an embodiment of the invention, a feedback traffic path planning method includes:
step S100: receiving an origin and a destination input by a user, analyzing the origin and the destination, and acquiring a passing scheme taking a passing mode as a tag;
receiving an origin and a destination input by a user, respectively serving as a starting point and a destination, and analyzing the origin and the destination to obtain a passing scheme; the pass scheme contains pass mode labels, and the pass schemes of different pass modes are different.
Step S200: identifying the passing schemes under different passing modes, and reserving a preset number of passing schemes;
the traffic schemes of different traffic modes are different, and the traffic schemes are identified, so that the traffic schemes can be screened, and a certain number of traffic schemes are reserved.
Step S300: pushing the passing scheme to users, and acquiring feedback information of each user in real time;
there are many passing schemes of the same origin and destination, the passing schemes are pushed to users, and feedback information of each user is acquired in real time; the process can use the existing data transmission architecture, namely, the user uploads the origin and the destination through the mobile phone, the data processing platform processes the received passing scheme, and after the processing is completed, the data processing platform sends the processed passing scheme to the mobile phone and receives feedback information through the mobile phone.
Step S400: counting feedback information of all users within a preset period, and correcting a reserved traffic scheme according to the feedback information;
and receiving feedback information fed back by a user every time a traffic scheme is sent, analyzing the feedback information, correcting the traffic scheme, and finally determining a more adaptive traffic scheme.
It is worth mentioning that since the analytical update process of the feedback information is dynamic, the final determined traffic scenario is also dynamic.
FIG. 2 is a first sub-flowchart of a feedback traffic path planning method, the steps of receiving user input of an origin and a destination, analyzing the origin and the destination, and obtaining a traffic scheme with a traffic mode as a tag include:
step S101: receiving an originating place and a destination input by a user according to a preset query box; in the receiving process, matching the location in real time based on big data technology;
step S102: inquiring a communication path of an origin and a destination based on map service, and selecting and sequencing the paths according to the total distance of the communication path; wherein, the selection process contains the upper limit of the distance input by the staff;
step S103: inquiring road section information of the communication paths, and carrying out matching classification on the communication paths according to the road section information to obtain a communication path group taking a passing mode as a label; the traffic modes in different communication path groups have no dissimilarity;
step S104: inquiring the motion parameters of the passing mode, and counting the motion parameters and the communication path group to obtain a passing scheme taking the passing mode as a label; wherein the motion parameter includes a motion speed.
The above-mentioned contents define the acquisition process of the traffic scheme, firstly, the starting point and the destination point (the origin and the destination) input by the user are received through the query box, and in the receiving process, pushing can be continuously carried out, so that the user can locate the place by only inputting a few keywords.
Inquiring a communication path between an origin and a destination in map service, calculating the total distance of the communication path, and selecting and sorting the paths according to the total distance; it should be noted that, because of the "detour" phenomenon, the types of communication paths are very many, and when a user sets an upper limit of a distance, a traffic path exceeding the distance is directly excluded, because in practical application, few people will select that path.
And reading standard speeds of different passing modes, and calculating time consumption and the like according to the distance and the standard speeds so as to expand the information quantity of the passing scheme, wherein the standard speeds are average speeds in the passing modes.
It should be noted that when the communication path is set, the existing planning scheme can be introduced to select a plurality of paths meeting the conditions (the time consumption gap is not large, the distance gap is not large, the red light quantity gap is not large, etc., and under the existing road network, the number of the paths is extremely large); this limitation is a limitation of the above-described step S102, that is, the process of "selecting and sorting paths according to the total distance of the communication paths" is limited to "selecting and sorting paths according to a preset condition range".
Fig. 3 is a second sub-flowchart of a feedback traffic path planning method, where the steps of identifying traffic schemes in different traffic modes and reserving a preset number of traffic schemes include:
step S201: receiving an evaluation index uploaded by a management party; the evaluation index comprises a time index, a journey index and an environment index;
step S202: limiting the passing schemes based on the evaluation indexes, and reserving a preset number of passing schemes;
the evaluation index is connected with the updating port, and the evaluation index is updated in real time based on the updating port.
And receiving the evaluation index uploaded by the management side, and limiting the passing scheme according to the evaluation index until the number of the passing schemes reaches the preset number condition, wherein the scheme is similar to the supplementary limitation.
The evaluation index is a superior concept, which is determined by the manager and updated in real time.
Fig. 4 is a third sub-flowchart of a feedback traffic path planning method, where the step of pushing the traffic plan to the user and acquiring feedback information of each user in real time includes:
step S301: pushing the passing scheme to a user, and acquiring numerical information and text information fed back by the user in real time;
step S302: when the feedback information is text information, inputting the text information into a trained part-of-speech analysis model to obtain text information with part-of-speech marks;
step S303: extracting nouns according to the part-of-speech marks, inputting the nouns into a preset hyponymy word stock, and extracting first words;
step S304: inquiring the scores of the initial words according to a preset score library, and converting the text information into scores.
The above content provides a specific feedback information acquisition scheme, after the passing scheme is pushed to the user, the numerical information and the text information fed back by the user are received, and compared with the text information, the numerical information is easier to process, so that the text information needs to be converted into the numerical information; the specific conversion mode is as follows:
identifying text information, determining the part of speech of each noun in the text information to obtain text information containing part of speech marks, wherein the part of speech marks are used for representing whether words are verbs or nouns, after nouns are extracted, inputting the nouns into a preset hyponymy word library, inquiring similar words to obtain a word set consisting of a plurality of synonyms, and reading initial words in the word set based on the sequence, namely, the words representing the nouns, so that normalization processing of the nouns is realized, staff is used for classifying all the initial words, and after the initial words are extracted, the corresponding scores are inquired.
As a preferred embodiment of the technical scheme of the present invention, the step of pushing the traffic scheme to the user and obtaining the numerical information and the text information fed back by the user in real time includes:
inquiring the matching degree of each passing scheme and the evaluation index in the limiting process;
selecting a probability according to the matching degree determination scheme, and selecting a target passing scheme from the contracted passing schemes according to the selected probability;
pushing the target passing scheme to a user and receiving feedback information of the user; the feedback information and the target passing scheme contain mapping labels.
In an example of the technical scheme of the invention, a shrinkage limiting process is monitored in real time, the principle of the shrinkage limiting process is that a passing scheme is compared with a preset index, the comparison process is that each passing scheme is evaluated, and the matching degree is higher as the passing scheme is matched with the evaluation index; determining the selection probability of each scheme according to the matching degree, wherein the higher the matching degree is, the larger the selection probability is, and the easier the selection probability is; and selecting a target passing scheme from the plurality of passing schemes based on the selection probability, and pushing the target passing scheme to the user, so that feedback information of the user can be received.
In this process, the feedback information corresponds to the target traffic scheme requirement, and the corresponding process is completed by the mapping tag.
Fig. 5 is a fourth sub-flowchart of a feedback traffic path planning method, wherein the step of counting feedback information of all users within a preset period and correcting a reserved traffic scheme according to the feedback information includes:
step S401: counting feedback information of all users corresponding to each passing scheme in a preset period;
step S402: extracting numerical information and scores in the feedback information, and inputting a preset conversion formula to obtain a comprehensive value;
step S403: and screening the traffic scheme according to the comprehensive value.
And reading the feedback information, counting the numerical information and the scores in the feedback information, inputting the numerical information and the scores into a preset conversion formula, obtaining a comprehensive value, and screening the traffic scheme by the comprehensive value as a final evaluation standard of the traffic scheme.
One of the conversion formulas is:
；/>；
wherein Z is a comprehensive value,for the ith number including the score, C is a constant; />For the corresponding first order function of the ith number value comprising the score +.>And->Is a preset parameter; n is the total number of values.
The function of the conversion formula is to unify different values to obtain a single value.
Fig. 6 is a block diagram of a structure of a feedback traffic path planning system, in which the system 10 includes:
a passing scheme obtaining module 11, configured to receive an origin and a destination input by a user, analyze the origin and the destination, and obtain a passing scheme using a passing manner as a tag;
the passing scheme identification module 12 is used for identifying passing schemes under different passing modes and reserving a preset number of passing schemes;
the feedback information pushing module 13 is configured to push the traffic scheme to the user, and acquire feedback information of each user in real time;
and the traffic scheme correction module 14 is used for counting feedback information of all users in a preset period, and correcting the reserved traffic scheme according to the feedback information.
Further, the passing scheme obtaining module 11 includes:
the location receiving unit is used for receiving an originating location and a destination input by a user according to a preset query frame; in the receiving process, matching the location in real time based on big data technology;
the selecting and sorting unit is used for inquiring the communication paths of the origin and the destination based on the map service, and selecting and sorting the paths according to the total distance of the communication paths; wherein, the selection process contains the upper limit of the distance input by the staff;
the matching classification unit is used for inquiring the road section information of the communication paths, and carrying out matching classification on the communication paths according to the road section information to obtain a communication path group taking a passing mode as a label; the traffic modes in different communication path groups have no dissimilarity;
the statistics unit is used for inquiring the motion parameters of the passing mode and counting the motion parameters and the communication path group to obtain a passing scheme taking the passing mode as a label; wherein the motion parameter includes a motion speed.
Specifically, the traffic scheme identification module 12 includes:
the evaluation index receiving unit is used for receiving the evaluation index uploaded by the management party; the evaluation index comprises a time index, a journey index and an environment index;
a scheme limiting unit for limiting the passing schemes based on the evaluation index in a one-to-one manner and reserving a preset number of passing schemes;
the evaluation index is connected with the updating port, and the evaluation index is updated in real time based on the updating port.
Further, the feedback information pushing module 13 includes:
the information receiving unit is used for pushing the traffic scheme to a user and acquiring numerical information and text information fed back by the user in real time;
the part-of-speech analysis unit is used for inputting the text information into a trained part-of-speech analysis model to obtain the text information with the part-of-speech mark when the feedback information is the text information;
the noun conversion unit is used for extracting nouns according to the part-of-speech marks, inputting the nouns into a preset hyponymy word stock and extracting initial words;
and the scoring query unit is used for querying the scores of the first words according to a preset scoring library and converting the text information into scores.
The functions which can be realized by the feedback type traffic path planning method are all completed by computer equipment, the computer equipment comprises one or more processors and one or more memories, at least one program code is stored in the one or more memories, and the program code is loaded and executed by the one or more processors to realize the functions of the feedback type traffic path planning method.
The processor takes out instructions from the memory one by one, analyzes the instructions, then completes corresponding operation according to the instruction requirement, generates a series of control commands, enables all parts of the computer to automatically, continuously and cooperatively act to form an organic whole, realizes the input of programs, the input of data, the operation and the output of results, and the arithmetic operation or the logic operation generated in the process is completed by the arithmetic unit; the Memory comprises a Read-Only Memory (ROM) for storing a computer program, and a protection device is arranged outside the Memory.
For example, a computer program may be split into one or more modules, one or more modules stored in memory and executed by a processor to perform the present invention. One or more of the modules may be a series of computer program instruction segments capable of performing specific functions for describing the execution of the computer program in the terminal device.
It will be appreciated by those skilled in the art that the foregoing is merely exemplary and not limiting of the terminal device, and that more or fewer components than described above may be included, or certain components may be combined, or different components may be included, for example, input and output devices, network access devices, buses, etc.
The processor may be a central processing unit (Central Processing Unit, CPU), other general purpose processors, digital signal processors (Digital Signal Processor, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC), field programmable gate arrays (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or the like. The general purpose processor may be a microprocessor or the processor may be any conventional processor or the like, which is the control center of the terminal device described above, and which connects the various parts of the entire user terminal using various interfaces and lines.
The memory may be used for storing computer programs and/or modules, and the processor may implement various functions of the terminal device by running or executing the computer programs and/or modules stored in the memory and invoking data stored in the memory. The memory may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function (such as an information acquisition template display function, a product information release function, etc.), and the like; the storage data area may store data created according to the use of the berth status display system (e.g., product information acquisition templates corresponding to different product types, product information required to be released by different product providers, etc.), and so on. In addition, the memory may include high-speed random access memory, and may also include non-volatile memory, such as a hard disk, memory, plug-in hard disk, smart Media Card (SMC), secure Digital (SD) Card, flash Card (Flash Card), at least one disk storage device, flash memory device, or other volatile solid-state storage device.
The modules/units integrated in the terminal device may be stored in a computer readable storage medium if implemented in the form of software functional units and sold or used as separate products. Based on this understanding, the present invention may implement all or part of the modules/units in the system of the above-described embodiments, or may be implemented by instructing the relevant hardware by a computer program, which may be stored in a computer-readable storage medium, and which, when executed by a processor, may implement the functions of the respective system embodiments described above. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, executable files or in some intermediate form, etc. The computer readable medium may include: any entity or device capable of carrying computer program code, a recording medium, a U disk, a removable hard disk, a magnetic disk, an optical disk, a computer Memory, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), an electrical carrier signal, a telecommunications signal, a software distribution medium, and so forth.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The foregoing description is only of the preferred embodiments of the present invention, and is not intended to limit the scope of the invention, but rather is intended to cover any equivalents of the structures or equivalent processes disclosed herein or in the alternative, which may be employed directly or indirectly in other related arts.
Claims (10)
1. A method of feedback traffic path planning, the method comprising:
receiving an origin and a destination input by a user, analyzing the origin and the destination, and acquiring a passing scheme taking a passing mode as a tag;
identifying the passing schemes under different passing modes, and reserving a preset number of passing schemes;
pushing the passing scheme to users, and acquiring feedback information of each user in real time;
and counting feedback information of all users within a preset period, and correcting the reserved traffic scheme according to the feedback information.
2. The method of claim 1, wherein the step of receiving user input of an origin and a destination, analyzing the origin and the destination, and obtaining a transit scheme in a transit way as a tag comprises:
receiving an originating place and a destination input by a user according to a preset query box; in the receiving process, matching the location in real time based on big data technology;
inquiring a communication path of an origin and a destination based on map service, and selecting and sequencing the paths according to the total distance of the communication path; wherein, the selection process contains the upper limit of the distance input by the staff;
inquiring road section information of the communication paths, and carrying out matching classification on the communication paths according to the road section information to obtain a communication path group taking a passing mode as a label; the traffic modes in different communication path groups have no dissimilarity;
inquiring the motion parameters of the passing mode, and counting the motion parameters and the communication path group to obtain a passing scheme taking the passing mode as a label; wherein the motion parameter includes a motion speed.
3. The method of claim 1, wherein the step of identifying traffic schemes in different traffic modes and reserving a predetermined number of traffic schemes comprises:
receiving an evaluation index uploaded by a management party; the evaluation index comprises a time index, a journey index and an environment index;
limiting the passing schemes based on the evaluation indexes, and reserving a preset number of passing schemes;
the evaluation index is connected with the updating port, and the evaluation index is updated in real time based on the updating port.
4. The feedback traffic path planning method according to claim 3, wherein the step of pushing the traffic plan to the users and acquiring feedback information of each user in real time comprises:
pushing the passing scheme to a user, and acquiring numerical information and text information fed back by the user in real time;
when the feedback information is text information, inputting the text information into a trained part-of-speech analysis model to obtain text information with part-of-speech marks;
extracting nouns according to the part-of-speech marks, inputting the nouns into a preset hyponymy word stock, and extracting first words;
inquiring the scores of the initial words according to a preset score library, and converting the text information into scores.
5. The method for planning a feedback traffic path according to claim 4, wherein the step of pushing the traffic plan to the user and acquiring the numerical information and the text information fed back by the user in real time comprises:
inquiring the matching degree of each passing scheme and the evaluation index in the limiting process;
selecting a probability according to the matching degree determination scheme, and selecting a target passing scheme from the contracted passing schemes according to the selected probability;
pushing the target passing scheme to a user and receiving feedback information of the user; the feedback information and the target passing scheme contain mapping labels.
6. The method for planning a feedback traffic path according to claim 1, wherein the step of counting feedback information of all users within a preset period of time and correcting the reserved traffic scheme according to the feedback information comprises:
counting feedback information of all users corresponding to each passing scheme in a preset period;
extracting numerical information and scores in the feedback information, and inputting a preset conversion formula to obtain a comprehensive value;
screening the traffic scheme according to the comprehensive value;
one of the conversion formulas is:
；/>；
wherein Z is a comprehensive value,for the ith number including the score, C is a constant; />For the corresponding first order function of the ith number value comprising the score +.>And->Is a preset parameter; n is the total number of values.
7. A feedback traffic path planning system, the system comprising:
the system comprises a passing scheme acquisition module, a passing scheme identification module and a passing scheme identification module, wherein the passing scheme acquisition module is used for receiving an origin and a destination input by a user, analyzing the origin and the destination and acquiring a passing scheme taking a passing mode as a tag;
the traffic scheme identification module is used for identifying traffic schemes under different traffic modes and reserving a preset number of traffic schemes;
the feedback information pushing module is used for pushing the passing scheme to the users and acquiring feedback information of each user in real time;
and the traffic scheme correction module is used for counting feedback information of all users in a preset period and correcting the reserved traffic scheme according to the feedback information.
8. The feedback traffic path planning system of claim 7, wherein the traffic scenario acquisition module comprises:
the location receiving unit is used for receiving an originating location and a destination input by a user according to a preset query frame; in the receiving process, matching the location in real time based on big data technology;
the selecting and sorting unit is used for inquiring the communication paths of the origin and the destination based on the map service, and selecting and sorting the paths according to the total distance of the communication paths; wherein, the selection process contains the upper limit of the distance input by the staff;
the matching classification unit is used for inquiring the road section information of the communication paths, and carrying out matching classification on the communication paths according to the road section information to obtain a communication path group taking a passing mode as a label; the traffic modes in different communication path groups have no dissimilarity;
the statistics unit is used for inquiring the motion parameters of the passing mode and counting the motion parameters and the communication path group to obtain a passing scheme taking the passing mode as a label; wherein the motion parameter includes a motion speed.
9. The feedback traffic path planning system of claim 7, wherein the pass-plan identification module comprises:
the evaluation index receiving unit is used for receiving the evaluation index uploaded by the management party; the evaluation index comprises a time index, a journey index and an environment index;
a scheme limiting unit for limiting the passing schemes based on the evaluation index in a one-to-one manner and reserving a preset number of passing schemes;
the evaluation index is connected with the updating port, and the evaluation index is updated in real time based on the updating port.
10. The feedback traffic path planning system of claim 7, wherein the feedback information pushing module comprises:
the information receiving unit is used for pushing the traffic scheme to a user and acquiring numerical information and text information fed back by the user in real time;
the part-of-speech analysis unit is used for inputting the text information into a trained part-of-speech analysis model to obtain the text information with the part-of-speech mark when the feedback information is the text information;
the noun conversion unit is used for extracting nouns according to the part-of-speech marks, inputting the nouns into a preset hyponymy word stock and extracting initial words;
and the scoring query unit is used for querying the scores of the first words according to a preset scoring library and converting the text information into scores.
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