CN109784535B

CN109784535B - Vehicle recommendation method and device, storage medium and server

Info

Publication number: CN109784535B
Application number: CN201811529438.3A
Authority: CN
Inventors: 张中华; 郑学军; 杨宏旭
Original assignee: Ping An Property and Casualty Insurance Company of China Ltd
Current assignee: Ping An Property and Casualty Insurance Company of China Ltd
Priority date: 2018-12-14
Filing date: 2018-12-14
Publication date: 2025-01-17
Anticipated expiration: 2038-12-14
Also published as: CN109784535A

Abstract

The invention provides a vehicle recommendation method, a device, a storage medium and a server, which comprise the steps of receiving a site survey request carrying a survey place, searching the survey area where the survey place is located, determining the survey area where the survey place is located as a target survey area, matching a survey staff for the site survey request, obtaining the current position of the matched survey staff, searching a survey vehicle matched with the travel of the survey staff in a preset tool area comparison table according to the current positions of the target survey area and the survey staff, and pushing the survey vehicle matched with the travel of the survey staff in the site survey request to an intelligent terminal of the survey staff. The invention can recommend proper vehicles to go to the survey site for the surveyor so as to ensure the timeliness of the survey and improve the survey efficiency.

Description

Vehicle recommendation method and device, storage medium and server

Technical Field

The present invention relates to the field of information processing technologies, and in particular, to a vehicle recommendation method, a device, a storage medium, and a server.

Background

Under the condition of complex traffic environment, timely and effective processing of traffic accidents is an important link for relieving traffic pressure. At present, in the car insurance industry, the development of on-site investigation and vehicle damage assessment business often needs to rely on the manpower investment of professional insurance personnel, and the cost is high and the efficiency is low. For example, in the link of investigation and claim settlement, investigation or damage assessment needs to be performed in time, and especially in case highly-developed areas such as central urban areas of various large cities, the efficiency requirement on vehicle insurance investigation task allocation is more strict.

At present, after the existing vehicle insurance investigation task is dispatched, an investigation operator selects a vehicle to go to by himself, so that for a highly congested area, the timeliness cannot be guaranteed, and the investigation efficiency is low.

Disclosure of Invention

The embodiment of the invention provides a vehicle recommendation method, a vehicle recommendation device, a storage medium and a vehicle recommendation server, which are used for solving the problems that in the prior art, after the existing vehicle insurance investigation task is dispatched, an investigation worker automatically selects a vehicle to go to, and for a highly congested area, timeliness cannot be guaranteed and investigation efficiency is low.

A first aspect of an embodiment of the present invention provides a vehicle recommendation method, including:

receiving a site survey request carrying a survey site;

searching a survey area where the survey place is located, and determining the survey area where the survey place is located as a target survey area;

matching the surveyors for the field survey request, and acquiring the current positions of the matched surveyors;

Searching a survey vehicle matched with travel of the survey staff in a preset tool area comparison table according to the current positions of the target survey area and the survey staff;

Pushing the on-site survey request and the survey vehicle matched with the travel of the surveyor to the intelligent terminal of the surveyor.

A second aspect of an embodiment of the present invention provides a vehicle recommendation apparatus, including:

A survey request receiving unit for receiving a field survey request carrying a survey site;

a target survey area determining unit for finding a survey area where the survey site is located and determining the survey area where the survey site is located as a target survey area;

The current position acquisition unit is used for matching the field survey request with the surveyor and acquiring the current position of the matched surveyor;

The vehicle determining unit is used for searching the survey vehicles matched with the travel of the surveyor in a preset tool area comparison table according to the current positions of the target survey area and the surveyor;

And the information pushing unit is used for pushing the on-site survey request and the survey vehicle matched with the travel of the surveyor to the intelligent terminal of the surveyor.

A third aspect of the embodiments of the present invention provides a server comprising a memory and a processor, the memory storing a computer program executable on the processor, the processor implementing the following steps when executing the computer program:

receiving a site survey request carrying a survey site;

A fourth aspect of the embodiments of the present invention provides a computer readable storage medium storing a computer program which when executed by a processor performs the steps of:

receiving a site survey request carrying a survey site;

In the embodiment of the invention, a field investigation request carrying an investigation place is received, an investigation area in which the investigation place is located is searched, the investigation area in which the investigation place is located is determined as a target investigation area, an investigation person is matched with the field investigation request, the current position of the matched investigation person is obtained, then an investigation vehicle matched with the travel of the investigation person is searched in a preset tool area comparison table according to the current position of the target investigation area and the current position of the investigation person, finally the field investigation request and the investigation vehicle matched with the travel of the investigation person are pushed to an intelligent terminal of the investigation person, and a proper vehicle is recommended to the investigation place to the investigation person so as to improve investigation efficiency and enhance user experience.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed in the embodiments or the description of the prior art will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present invention, 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 flowchart of a method for recommending a vehicle according to an embodiment of the present invention;

FIG. 2 is a flowchart of a specific implementation of survey area division in a vehicle recommendation method according to an embodiment of the present invention;

FIG. 3 is a flowchart of a specific implementation of a vehicle recommendation method A2 according to an embodiment of the present invention;

Fig. 4 is a flowchart of a specific implementation of the vehicle recommendation method S104 provided in the embodiment of the present invention;

FIG. 5 is a flowchart illustrating a step of creating a preset tool area map according to an embodiment of the present invention;

FIG. 6 is a block diagram of a vehicle recommendation device according to an embodiment of the present invention;

fig. 7 is a schematic diagram of a server according to an embodiment of the present invention.

Detailed Description

In order to make the objects, features and advantages of the present invention more comprehensible, the technical solutions in the embodiments of the present invention are described in detail below with reference to the accompanying drawings, and it is apparent that the embodiments described below are only some embodiments of the present invention, but not all embodiments of the present invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.

Fig. 1 shows an implementation flow of a vehicle recommendation method according to an embodiment of the present invention, where the method flow includes steps S101 to S105. The specific implementation principle of each step is as follows:

s101, receiving a site survey request carrying a survey site.

In the embodiment of the invention, a site survey request sent by a user through an intelligent terminal is received in real time, wherein the site survey request carries a survey site to be surveyed. Further, after receiving a site survey request carrying a survey site, acquiring vehicle information of an accident vehicle and the type of vehicle insurance purchased by a vehicle owner according to the identity information of a user sending the site survey request.

S102, searching a survey area where the survey place is located, and determining the survey area where the survey place is located as a target survey area.

Specifically, in the embodiment of the invention, a plurality of survey areas are divided for a predetermined administrative area according to a preset area division rule, and at least one surveyor is associated with each divided survey area. After receiving a site survey request carrying a survey site, searching a survey area to which the survey site belongs, and determining the survey area to which the survey site belongs as a target survey area. Once the survey area is determined, the surveyors who requested the match for the field survey may be determined.

Alternatively, if more than one surveyor is associated with the survey area, the time periods are divided according to a preset rule, and different time periods correspond to different surveyors. And allocating the survey staff associated with the survey area according to time periods. And acquiring the survey time of the field survey request, and determining a survey staff corresponding to the field survey request according to the survey time and a survey area to which the survey place belongs.

As an embodiment of the present invention, as shown in fig. 2, before S102, the method further includes:

A1, acquiring traffic flow information of each road section. The traffic flow information refers to traffic flow information of road sections, such as past traffic flow and/or traffic flow.

A2, determining the congestion degree of the road section according to the traffic flow information.

A3, setting an area radius according to the congestion degree of the road section, and dividing a survey area according to the area radius. Specifically, a mapping table of the congestion degree and the regional radius is preset, and the corresponding regional radius is searched in the mapping table according to the congestion degree. In this embodiment, the critical point of the congestion degree is taken as a central point, and the area radius is taken as a radius to determine and divide the exploration area, where the exploration area may be a circle or a square. The critical point of the congestion degree refers to a boundary point of the congestion degree interval.

As an embodiment of the present invention, fig. 3 shows a specific implementation flow of the vehicle recommendation method step A2 provided in the embodiment of the present invention, which is described in detail below:

a21, determining the average traffic flow of the road section in the appointed time period according to the traffic flow information. The specified period includes a peak period and a normal period.

A22, comparing the average traffic flow of the road section with the preset traffic flow, and obtaining the flow ratio of the average traffic flow of the road section to the preset traffic flow. The preset traffic flows corresponding to different designated time periods are different.

A23, determining the congestion degree of the road section according to the flow ratio, wherein the congestion degree is positively correlated with the flow ratio. Specifically, the greater the flow ratio, the higher the congestion degree, the smaller the flow ratio, and the lower the congestion degree.

The average traffic flow of the road section in the specified time period is X, the preset traffic flow corresponding to the specified time period is N, and the road section is a congestion road section when the average traffic flow X is greater than the preset traffic flow N. And determining the congestion degree of the road section according to the ratio of the average traffic flow X to the preset traffic flow N.

Alternatively, in the present embodiment, the degree of congestion is represented by a congestion level. The preset congestion level comparison table is used for first-level congestion when the ratio of the average traffic flow X of the road section to the preset traffic flow N is larger than a first preset value and smaller than a second preset value, second-level congestion when the ratio of the average traffic flow X of the road section to the preset traffic flow N is larger than the second preset value and smaller than a third preset value, and third-level congestion when the ratio of the average traffic flow X of the road section to the preset traffic flow N is larger than the third preset value.

Exemplary are primary congestion when the average traffic flow is greater than 150% and less than 200% of the preset traffic flow, secondary congestion when the average traffic flow is greater than 200% and less than 300% of the preset traffic flow, and tertiary congestion when the average traffic flow is greater than 300% of the preset traffic flow.

Optionally, in the embodiment of the present invention, the congestion period is determined according to traffic flow information. The method comprises the steps of obtaining real-time traffic flow information of all road sections, marking the road sections by using i, obtaining traffic flow X _it of the road section i in different time periods, obtaining the speed limit of the road section i, obtaining traffic flow L _i when the road section is unobstructed, and determining a t time period as a congestion time period of the road section i when X _it is larger than the time period of the traffic flow L _i of the road section in the unobstructed time period. For example, when X _it is greater than 150% of the traffic flow L _i in the unobstructed period of the road segment, it is determined that the period t is the trip peak period of the road segment i.

According to the embodiment of the invention, the travel tool suitable for the survey time and the survey area is accurately recommended by accurately determining the congestion road section and the congestion time period, so that the survey timeliness of a survey staff is improved.

And S103, matching the surveyors for the field survey request, and acquiring the current positions of the matched surveyors.

Specifically, locating the on-site survey staff for which the matching request is made, and obtaining the current position of the survey staff. Wherein, the survey staff matched with the field survey request refers to the survey staff associated with the user who sends the field survey request, or refers to the survey staff associated with the target survey area determined according to the field survey request carrying the survey location.

S104, searching a survey vehicle matched with the travel of the surveyor in a preset tool area comparison table according to the current positions of the target survey area and the surveyor.

Specifically, a tool area comparison table is preset, and the mapping relation between the investigation area and the optimal vehicle is stored in the tool area comparison table. In the embodiment of the invention, the transportation means comprises an automobile, an electric vehicle, a motorcycle and a bicycle.

As an embodiment of the present invention, fig. 4 shows a specific implementation flow of the vehicle recommendation method S104 provided in the embodiment of the present invention, which is described in detail below:

b1, if the current position of the surveyor does not belong to the target surveyor area, planning a travel route according to the surveyor location and the current position of the surveyor.

And B2, determining a survey area through which the travel route passes according to the travel route.

B3, searching survey vehicles respectively corresponding to the survey areas passing through the travel route and the target survey areas in a preset tool area comparison table according to the survey areas passing through the travel route and the target survey areas.

In the embodiment of the invention, the travel route of the survey staff is planned according to the current positions of the survey area and the salesman and the position of the on-site survey request, if the current position of the survey staff does not belong to the target survey area, the travel route is planned according to the current positions of the survey place and the survey staff, the survey area through which the travel route passes is determined according to the travel route, and the survey vehicles respectively corresponding to the survey area through which the travel route passes and the target survey area are searched in a preset tool area comparison table according to the survey area through which the travel route passes and the target survey area.

Optionally, if the current position of the surveyor belongs to the target survey area, determining a vehicle corresponding to the survey area according to a preset tool area comparison table.

As an embodiment of the present invention, fig. 5 shows the steps for creating the preset tool area comparison table according to the embodiment of the present invention, which is described in detail below:

C1, determining the historical average passing speed of each vehicle in the investigation region.

C2, determining the optimal vehicles in the investigation region according to the historical average passing speed of each vehicle in the investigation region.

And C3, acquiring the optimal vehicles of each survey area, and establishing a tool area comparison table, wherein the tool area comparison table comprises the mapping relation between the survey areas and the optimal vehicles.

In the embodiment of the invention, the historical average passing speed V _ik of the vehicles j in the exploration area k is determined in advance according to the historical traffic data, M types of vehicles are ordered from large to small according to the historical average passing speed in the same exploration area k, and the vehicle with the largest historical average passing speed V _ik in the same exploration area k is determined as the best vehicle in the exploration area k. Further, the average passing speeds of the vehicles during peak hours and off-peak hours are respectively ranked. And acquiring the survey time of the field survey request, judging whether the survey time belongs to a peak period, and searching the most matched survey vehicle according to the judging result.

The area with smooth traffic is exemplified by an automobile, the radius of the area for investigation is set to 3-5 km, an electric vehicle is adopted in the general congestion degree, the average running speed of the automobile and the electric vehicle is smaller than that of a bicycle in the extremely congestion area, the bicycle is adopted as an optimal traffic tool, and a motorcycle is adopted for mountain cities. The degree of congestion is obviously changed, and an automobile and electric vehicle/bicycle combined investigation mode is adopted.

And S105, pushing the on-site survey request and the survey vehicle matched with the travel of the surveyor to an intelligent terminal of the surveyor.

In the embodiment of the invention, the on-site survey request is notified to the surveyor, and the vehicle with optimal travel is recommended to the surveyor, so that the surveyor can conveniently and quickly arrive at the survey site, the service timeliness of the survey is ensured, the survey efficiency is improved, and the user experience is enhanced.

It should be understood that the sequence number of each step in the foregoing embodiment does not mean that the execution sequence of each process should be determined by the function and the internal logic, and should not limit the implementation process of the embodiment of the present invention.

Corresponding to the vehicle recommendation method described in the above embodiments, fig. 6 shows a block diagram of a vehicle recommendation device according to an embodiment of the present application, and for convenience of explanation, only the portions related to the embodiment of the present application are shown.

Referring to fig. 6, the vehicle recommendation device includes a survey request receiving unit 61, a target survey area determining unit 62, a current position acquiring unit 63, a vehicle determining unit 64, an information pushing unit 65, wherein:

A survey request receiving unit 61 for receiving a field survey request carrying a survey site;

A target survey area determination unit 62 for finding a survey area where the survey point is located, and determining the survey area where the survey point is located as a target survey area;

A current position obtaining unit 63, configured to obtain a current position of a matched surveyor for matching the field survey request with the surveyor;

A vehicle determining unit 64, configured to search a preset tool area comparison table for a survey vehicle that matches the travel of the survey staff according to the current positions of the target survey area and the survey staff;

And the information pushing unit 65 is used for pushing the on-site survey vehicle, of which the on-site survey request is matched with the travel of the surveyor, to the intelligent terminal of the surveyor.

Optionally, the vehicle determining unit 64 includes:

The occurrence route planning module is used for planning a travel route according to the survey place and the current position of the surveyor if the current position of the surveyor does not belong to the target survey area;

the survey area determining module is used for determining a survey area through which the travel route passes according to the travel route;

and the vehicle determining module is used for searching the vehicle which corresponds to the travel route passing survey area and the target survey area in a preset tool area comparison table according to the travel route passing survey area and the target survey area.

Optionally, the vehicle determination module includes:

the historical information determination submodule is used for determining historical average passing speeds of all vehicles in the exploration area;

An optimal vehicle determination submodule for determining an optimal vehicle of the survey area according to the historical average passing speed of each vehicle in the survey area;

the comparison table establishing sub-module is used for acquiring the optimal vehicles of each investigation region and establishing a tool region comparison table, wherein the tool region comparison table comprises the mapping relation between the investigation region and the optimal vehicles.

Optionally, the vehicle recommendation device further includes:

the traffic information acquisition unit is used for acquiring traffic information of each road section;

the congestion degree determining unit is used for determining the congestion degree of the road section according to the traffic flow information;

And the survey area dividing unit is used for setting an area radius according to the congestion degree of the road section and dividing a survey area according to the area radius.

Optionally, the congestion degree determining unit includes:

The average traffic flow determining module is used for determining the average traffic flow of the road section in a specified time period according to the traffic flow information;

The traffic ratio acquisition module is used for comparing the average traffic flow of the road section with the preset traffic flow and acquiring the traffic ratio of the average traffic flow of the road section to the preset traffic flow;

and the congestion degree determining module is used for determining the congestion degree of the road section according to the flow ratio, wherein the congestion degree is positively correlated with the flow ratio.

Fig. 7 is a schematic diagram of a server according to an embodiment of the present invention. As shown in fig. 7, the server 7 of this embodiment comprises a processor 70, a memory 71 and a computer program 72, such as a vehicle recommendation program, stored in said memory 71 and executable on said processor 70. The processor 70, when executing the computer program 72, implements the steps of the various vehicle recommendation method embodiments described above, such as steps 101 through 105 shown in fig. 1. Or the processor 70, when executing the computer program 72, performs the functions of the modules/units of the apparatus embodiments described above, e.g. the functions of the units 61 to 65 shown in fig. 6.

By way of example, the computer program 72 may be partitioned into one or more modules/units that are stored in the memory 71 and executed by the processor 70 to complete the present invention. The one or more modules/units may be a series of computer program instruction segments capable of performing the specified functions, which instruction segments are used to describe the execution of the computer program 72 in the server 7.

The server 7 may be a computing device such as a desktop computer, a notebook computer, a palm computer, a cloud server, etc. The server may include, but is not limited to, a processor 70, a memory 71. It will be appreciated by those skilled in the art that fig. 7 is merely an example of the server 7 and is not limiting of the server 7, and may include more or fewer components than shown, or may combine some components, or different components, e.g., the server may also include input and output devices, network access devices, buses, etc.

The Processor 70 may be a central processing unit (Central Processing Unit, CPU), but may also be other general purpose processors, digital signal processors (DIGITAL SIGNAL Processor, DSP), application SPECIFIC INTEGRATED Circuit (ASIC), off-the-shelf Programmable gate array (Field-Programmable GATE ARRAY, FPGA) or other Programmable logic device, discrete gate or transistor logic device, discrete hardware components, or the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.

The memory 71 may be an internal storage unit of the server 7, such as a hard disk or a memory of the server 7. The memory 71 may be an external storage device of the server 7, such as a plug-in hard disk, a smart memory card (SMART MEDIA CARD, SMC), a Secure Digital (SD) card, a flash memory card (FLASH CARD) or the like, which are provided on the server 7. Further, the memory 71 may also include both an internal storage unit and an external storage device of the server 7. The memory 71 is used for storing the computer program as well as other programs and data required by the server. The memory 71 may also be used for temporarily storing data that has been output or is to be output.

In addition, each functional unit in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.

The integrated modules/units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. Based on such understanding, the present invention may implement all or part of the flow of the method of the above embodiment, or may be implemented by a computer program to instruct related hardware, where the computer program may be stored in a computer readable storage medium, and when the computer program is executed by a processor, the computer program may implement the steps of each of the method embodiments described above. Wherein the computer program comprises computer program code which may be in source code form, object code form, executable file or some intermediate form etc. The computer readable medium may include any entity or device capable of carrying the 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 the computer readable medium contains content that can be appropriately scaled according to the requirements of jurisdictions in which such content is subject to legislation and patent practice, such as in certain jurisdictions in which such content is subject to legislation and patent practice, the computer readable medium does not include electrical carrier signals and telecommunication signals.

The foregoing embodiments are merely illustrative of the technical solutions of the present invention, and not restrictive, and although the present invention has been described in detail with reference to the foregoing embodiments, it should be understood by those skilled in the art that modifications may still be made to the technical solutions described in the foregoing embodiments or equivalent substitutions of some technical features thereof, and that such modifications or substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for recommending means of transportation, comprising:

Receive on-site inspection requests with inspection locations;

Obtain traffic flow information for each road section;

Determining the congestion level of the road section according to the traffic flow information;

Setting a region radius according to the congestion level of the road section, and dividing the survey area according to the region radius;

Finding the survey area where the survey location is located, and determining the survey area where the survey location is located as the target survey area;

Matching a surveyor for the on-site survey request and obtaining the current location of the matched surveyor, wherein the surveyor matched for the on-site survey request refers to a surveyor associated with the user who sent the on-site survey request, or refers to a surveyor associated with a target survey area determined according to the survey location carried in the on-site survey request;

If the current location of the surveyor does not belong to the target survey area, a travel route is planned according to the survey location and the current location of the surveyor; the survey area passed by the travel route is determined according to the travel route; according to the survey area passed by the travel route and the target survey area, the survey transportation tools corresponding to the survey area passed by the travel route and the target survey area are searched in a preset tool area comparison table;

If the current location of the surveyor belongs to the target survey area, the survey vehicle corresponding to the survey area is determined according to a preset tool area comparison table; the survey vehicle includes a car, an electric car, a motorcycle and a bicycle; the steps of establishing the preset tool area comparison table include:

Determine the historical average passing speed of each means of transport in the survey area; determine the best means of transport in the survey area according to the historical average passing speed of each means of transport in the survey area; obtain the best means of transport in each survey area, and establish a tool area comparison table, wherein the tool area comparison table includes a mapping relationship between the survey area and the best means of transport;

The on-site survey request and the survey transportation tool that matches the surveyor's travel are pushed to the surveyor's smart terminal.

2. The method for recommending means of transportation according to claim 1, wherein determining the congestion level of the road section according to the traffic flow information comprises:

Determine the average traffic flow of the road section within a specified time period according to the traffic flow information;

Compare the average traffic flow of the road section with a preset traffic flow to obtain a traffic flow ratio of the average traffic flow of the road section to the preset traffic flow;

The congestion level of the road section is determined according to the flow ratio, wherein the congestion level is positively correlated with the flow ratio.

3. A transportation recommendation device, characterized in that the transportation recommendation device comprises:

An investigation request receiving unit, used to receive an on-site investigation request containing an investigation location;

A traffic information acquisition unit, used to acquire traffic flow information of each road section;

A congestion level determination unit, configured to determine the congestion level of the road section according to the traffic flow information;

A survey area division unit, used to set an area radius according to the congestion level of the road section, and divide the survey area according to the area radius;

a target survey area determination unit, configured to find the survey area where the survey location is located, and determine the survey area where the survey location is located as the target survey area;

a current location acquisition unit, configured to match a surveyor for the on-site survey request and acquire the current location of the matched surveyor, wherein the surveyor matched for the on-site survey request refers to a surveyor associated with the user who sent the on-site survey request, or refers to a surveyor associated with a target survey area determined according to the survey location carried in the on-site survey request;

A travel route planning module, for planning a travel route according to the survey location and the current location of the surveyor if the current location of the surveyor does not belong to the target survey area;

A survey area determination module, used to determine the survey area passed by the travel route according to the travel route;

A vehicle determination module is used to search for survey vehicles corresponding to the survey area passed by the travel route and the target survey area in a preset tool area comparison table according to the survey area passed by the travel route and the target survey area; if the current position of the surveyor belongs to the target survey area, the survey vehicle corresponding to the survey area is determined according to the preset tool area comparison table; the survey vehicles include cars, electric vehicles, motorcycles and bicycles;

The transportation tool determination module includes: a historical information determination submodule, which is used to determine the historical average passing speed of each transportation tool in the survey area; an optimal transportation tool determination submodule, which is used to determine the optimal transportation tool of the survey area according to the historical average passing speed of each transportation tool in the survey area; a comparison table establishment submodule, which is used to obtain the optimal transportation tool of each survey area and establish a tool area comparison table, wherein the tool area comparison table includes the mapping relationship between the survey area and the optimal transportation tool;

An information push unit is used to push the on-site survey request and the survey transportation tool that matches the surveyor's travel to the surveyor's smart terminal.

4. A computer-readable storage medium storing a computer program, wherein the computer program, when executed by a processor, implements the steps of the transportation recommendation method according to any one of claims 1 to 2.

5. A server, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the transportation recommendation method as described in any one of claims 1 to 2 when executing the computer program.