Automated Method for Traffic Facility Safety Diagnosis Based on Road Design Drawings

Abstract

A method for automating traffic facility safety diagnosis based on road design drawings according to one aspect of the present invention may comprise: an input step in which a diagnosis performer collects design drawings and related data, including at least a longitudinal plan, a traffic safety facility drawing, ancillary facility drawing, and an intersection detail drawing, and inputs them into a program; an analysis step in which information classified into points, lines, and intersection information is extracted from the design drawings input in the input step; an automation module step comprising a review step in which the information extracted in the analysis step is automatically determined to meet the relevant standards according to a traffic safety diagnosis checklist and design guidelines; and a diagnosis result derivation step in which items requiring supplementation are derived based on the judgment result of the review step, and a final traffic safety diagnosis result is derived by reflecting the diagnosis performer's judgment regarding qualitative items.

Description

Technology Field

[0001] The present invention relates to a method for automating traffic facility safety diagnosis based on road design drawings, and more specifically, to a method for automating traffic facility safety diagnosis based on road design drawings that can automatically diagnose according to evaluation item criteria for traffic facility safety diagnosis based on road design drawings. Background Technology

[0002] Traffic facility safety diagnosis is divided into in-operation, design, and pre-commencement phases, and the diagnosis is performed based on evaluation items classified according to each road phase.

[0003] In this process, the traffic safety inspection checklist is used as a key resource, and evaluation items are presented differently depending on the road grade.

[0004] However, during the actual diagnosis, there is a problem where some items are omitted because the diagnostician is unable to sufficiently review all items on the checklist or the evaluation is concentrated on specific items.

[0005] These limitations make it difficult to ensure consistency and objectivity in diagnostic results, and an improved method to compensate for this is required. Prior art literature

[0006] Korean Registered Patent Publication No. 10-2065788 (2020.01.07) The problem to be solved

[0007] The objective of the present invention is to provide a method for automating traffic facility safety diagnosis based on road design drawings, which can automatically evaluate quantitative values ​​in a traffic safety diagnosis checklist.

[0008] Another objective of the present invention is to provide an automated method for traffic facility safety diagnosis based on road design drawings that can systematically analyze various drawing information according to standards. means of solving the problem

[0009] A method for automating traffic facility safety diagnosis based on road design drawings according to one aspect of the present invention for achieving the above-mentioned purpose may comprise: an input step in which a diagnosis performer collects design drawings and related data, including at least a longitudinal plan, a traffic safety facility drawing, ancillary facility drawing, and an intersection detail drawing, and inputs them into a program; an analysis step in which information classified into points, lines, and intersection information is extracted from the design drawings input in the input step; an automation module step comprising a review step in which the information extracted in the analysis step is automatically determined to meet the relevant standards according to a traffic safety diagnosis checklist and design guidelines; and a diagnosis result derivation step in which items requiring supplementation are derived based on the judgment result of the review step, and a final traffic safety diagnosis result is derived by reflecting the diagnosis performer's judgment regarding qualitative items.

[0010] The above automation module step may include a step of making a judgment based on the condition when the quantitative numerical criteria for the extracted point, shipment, and cross information correspond to the condition of presence or absence, or within or outside the range.

[0011] The above automation module step may include a step of determining whether the extracted information can be judged as a quantitative value, determining whether the value complies with design standards or design guidelines, and classifying evaluation results according to whether it complies.

[0012] For items where quantitative judgment is impossible in the above automation module stage, a step may be further provided to classify them as items requiring qualitative judgment by the diagnostician and to reflect the diagnostician's judgment.

[0013] The above diagnostic result derivation step may include a comprehensive diagnostic result step that reflects the judgment result of the diagnostic performer regarding items requiring qualitative judgment in the above automation module step, and classifies the item into either "no diagnostic recommendation" or "diagnostic recommendation" according to the judgment result.

[0014] The point information of the above analysis step may be provided as information about facilities installed at specific points, such as traffic safety signs, reflectors, speed enforcement cameras, speed bumps, and crosswalks.

[0015] The shipping information in the above analysis step may be provided as information having continuity, such as anti-slip pavement, section speed enforcement cameras, tunnels, bridges, and guardrails, which are installed in specific sections rather than at specific points.

[0016] The intersection information of the above analysis step may be provided as information regarding the intersection where shipping information of directions having driving continuity, such as the shape of the intersection, whether it is channeled, and left / right turn guide lines, intersects.

[0017] In the above input step, the road design drawings entered by the diagnostician can be viewed through a preview screen. Effects of the invention

[0018] According to the automated method for traffic facility safety diagnosis based on road design drawings of the present invention, the automation module stage can evaluate quantitative values ​​based on road design drawings and related data.

[0019] In addition, by distinguishing and recognizing point, shipment, and intersection information analyzed at the automation module stage, various safety elements on the drawings can be systematically classified. Brief explanation of the drawing

[0020] FIG. 1 is a flowchart illustrating a method for automating traffic facility safety diagnosis based on road design drawings according to an embodiment of the present invention. FIG. 2 is a diagram showing in detail the analysis process of the automation module stage in FIG. 1. FIG. 3 is a flowchart showing in detail the decision process of the automation module stage in FIG. 1. Figure 4a is a drawing showing the design drawing input screen of an automated traffic facility safety diagnosis program based on road design drawings. FIG. 4b is a drawing showing the drawing information analysis screen of an automated traffic facility safety diagnosis program based on road design drawings. FIG. 4c is a diagram showing the diagnosis execution screen of an automated traffic facility safety diagnosis program based on road design drawings. FIG. 4d is a drawing showing the diagnosis result screen of an automated traffic facility safety diagnosis program based on road design drawings. Specific details for implementing the invention

[0021] Hereinafter, an embodiment of the present invention will be described in detail with reference to the attached drawings. However, the present invention is not limited to this embodiment and can be modified in various forms.

[0022] In the drawings, parts unrelated to the description have been omitted to clearly and concisely explain the present invention, and the same reference numerals are used for identical or extremely similar parts throughout the specification. Additionally, in the drawings, thicknesses, widths, etc., are depicted enlarged or reduced to make the description clearer; however, the thicknesses, widths, etc., of the present invention are not limited to those depicted in the drawings.

[0023] And when any part of the specification is described as "including" another part, unless specifically stated otherwise, it does not exclude other parts and may include additional parts.

[0025] FIG. 1 is a flowchart illustrating a method for automating traffic facility safety diagnosis based on road design drawings according to one embodiment of the present invention.

[0026] As illustrated in FIG. 1, the automated method for diagnosing traffic facility safety based on road design drawings according to one embodiment of the present invention may include an input step (S100) in which a diagnostic performer collects design drawings and related data, including at least a longitudinal plan, a traffic safety facility drawing, an auxiliary facility drawing, and an intersection detail drawing, and inputs them into a program; an analysis step (S210) in which information classified into points, lines, and intersection information is extracted from the design drawings input in the input step (S100); an automation module step (S200) in which a review step (S220) is automatically determined whether the information extracted in the analysis step conforms to the corresponding standards according to a traffic safety diagnosis checklist and design guidelines; and a diagnosis result derivation step (S300) in which items requiring supplementation are derived according to the judgment result of the automation module step (S200), and a final traffic safety diagnosis result is derived by reflecting the diagnostic performer's judgment on qualitative items.

[0027] First, the input stage (S100) requires that design documents and report data be prepared for the traffic safety diagnosis during the road design stage. There are various types of road design drawings, and when performing the traffic safety diagnosis, drawings such as longitudinal profiles, auxiliary facility drawings, traffic safety facility drawings, and intersection detail drawings may be mainly required.

[0028] The design drawings contain design information for the road subject to traffic safety diagnosis, and allow for the identification of road alignment information (horizontal and longitudinal slopes, etc.), and the types and locations of traffic facilities within the road (traffic safety signs, road markings, etc.).

[0029] The diagnostician can evaluate road safety from the perspective of virtual road use based on design drawings.

[0030] The input step (S100) inputs relevant design drawings before analyzing information within the design drawings of the road subject to traffic safety diagnosis, and allows the diagnosis performer to view the input road design drawings through a preview screen.

[0031] The longitudinal plan, ancillary facilities, traffic safety facilities, and intersection details of the design drawings may include the following information.

[0032] The longitudinal plan may include road planar alignment information and longitudinal slope information, the ancillary facilities plan may include facility information such as guardrails, signs, bridge information, and tunnel information within the road, the traffic safety facilities plan may include traffic safety signs and road surface markings, and the intersection detail plan may include detailed information such as signs and facilities within the intersection.

[0033] Next, the automation module step (S200) may be equipped with an automation module that performs design drawing analysis and traffic safety diagnosis.

[0034] The automation module stage (S200) may include an analysis stage (S210) that analyzes overall information such as facilities and signs of the target road section based on design drawings, and a review stage (S220) that reviews whether the road information collected through diagnosis complies with the respective design guidelines and standards.

[0035] At this time, the analysis step (S210) and the review step (S220) are performed by an automation module, and an automation module step (S200) may be provided including this.

[0036] Finally, the diagnostic result derivation step (S300) determines whether improvement is necessary based on relevant standards or guidelines using the information collected through the automation module step (S200), generates diagnostic results for items requiring supplementation, and classifies whether improvement recommendations are made according to the standards.

[0037] Accordingly, the automated method for traffic facility safety diagnosis based on a road design drawing according to one embodiment of the present invention may include an automated module step (S200) that evaluates quantitative values ​​based on the road design drawing and related data.

[0038] In addition, various safety elements on the drawing can be systematically classified by distinguishing, storing, and recognizing point information, shipment information, and intersection information analyzed in the automation module stage (S200).

[0039] Next, the detailed configuration of the automated method for traffic facility safety diagnosis based on road design drawings according to one embodiment of the present invention will be described in more detail.

[0041] Figure 2 is a diagram showing in detail the analysis process of the automation module stage in Figure 1, and Figure 3 is a flowchart showing in detail the judgment process of the automation module stage in Figure 1.

[0042] Referring to FIGS. 2 and FIGS. 3, the analysis step (S210) can scan and store information from the design drawing input in the input step (S100) using a drawing information collection module.

[0043] The analysis step (S210) collects the current status of traffic safety signs designed within the auxiliary facilities drawing, analyzes the alignment and longitudinal slope information of the road within the longitudinal plan drawing, and, if there are bridges or tunnels within the diagnosis section, checks and analyzes the length information of each.

[0044] In addition, the traffic safety facility map allows for the analysis of the installation details of safety signs on roads and intersections in order to understand the design status of detailed traffic safety signs.

[0045] The design drawing (10) is stored by dividing it into point information (11), shipping information (12) and intersection information (13), and the point information (11), shipping information (12) and intersection information (13) on the design drawing (10) can be stored separately according to the driving direction and continuity.

[0046] The location information (11) is installed at a specific location, such as a traffic safety sign, auxiliary facility, or road marking, and provides information. The location information (11) may be a traffic safety sign, reflector, speed enforcement camera, speed bump, crosswalk, etc. within the design drawing (10).

[0047] Shipping information (12) means that it is installed in a specific section rather than a specific point, or that section information is specified, and may mean that it has continuity.

[0048] The shipping information (12) may be section information or continuous information such as anti-slip pavement, section speed camera, tunnel, bridge, guardrail, etc. within the design drawing (10).

[0049] The intersection information (13) refers to a case where shipping information of different directions having driving continuity intersects, and an intersection is a typical example. The intersection information (13) may be the shape of the intersection, whether the intersection is channeled, left and right turn guidance lines, etc.

[0050] Next, the review step (S220) can analyze overall information such as facilities and signs of the target road section based on the design drawing (10), and review whether the point information (11), line information (12), and intersection information (13) conform to design guidelines or standards.

[0051] Standards or guidelines related to the analyzed information in the road design drawing (10) can be viewed, and a safety diagnosis of the target road can be performed through the diagnosis automation module.

[0052] The automation module stage (S200) proceeds through the analysis stage (S210) and the review stage (S220), followed by the stage of judgment based on quantitative figures or criteria (S230) and the stage of determining compliance with design standards and guidelines (S240) via the automation module. If no judgment is made by the automation module, a stage (S250) for determining whether improvement is necessary through the qualitative judgment of a diagnostician may be provided. In this case, stage S250 is a human judgment stage.

[0053] Step S230 is a stage where the collected information can be judged based on quantitative numerical criteria, and since the quantitative numerical criteria correspond to conditions within the range and outside the range, it is a case where the presence or absence of facilities, conditions within the range, or conditions outside the range can be determined based on the collected information based on quantitative numerical criteria.

[0054] For example, the determination of whether a facility exists can be made based on the condition of presence or absence, such as 'there is a median strip on the road (O) / there is no median strip (X)'.

[0055] In addition, whether the shoulder is within the standard range can be determined by the condition within the section as '00m < shoulder < 00m'.

[0056] In addition, the determination of whether the lane width exceeds the standard range can be made by determining the condition outside the section as 'when the lane width is greater than 00m'.

[0057] If it cannot be determined based on the three criteria, the process proceeds to the S250 stage, where the diagnostician can determine whether improvement is possible based on their qualitative and subjective judgment.

[0058] Step S240 is the step for determining whether the information determined in Step S230 complies with design standards and guidelines.

[0059] The collected design drawing (10) information can be judged through quantitative numerical values ​​(length, width, spacing, etc. of the facility), and it can be judged whether it conforms to the basis (related laws, design standards and design guidelines, etc.) that is presented for the numerical values.

[0060] For example, if the information extracted from the design drawing (10) is lane width = 2.7m, it is in compliance with the design guidelines, where lane width must be less than or equal to 2.75m, but if the extracted information is lane width = 3.0m, it is not in compliance with the design guidelines.

[0061] At this time, step S240 can be determined through the collected design drawing (10) information and quantitative figures, but if the figures are consistent with the basis being presented, such as relevant laws, design standards, and design guidelines, the process proceeds to no diagnostic recommendation (S310), and if they are not consistent, the process proceeds to present a diagnostic recommendation (S320).

[0062] Step S250 is the 'human judgment' step, where the automation module is terminated in the automation module step (S200), and whether improvement is needed can be determined through the qualitative judgment of the diagnostician.

[0063] Step S250 is performed when the information collected in Step S230 cannot be judged by quantitative numerical criteria; although quantitative judgment is impossible based on the collected information, it is possible to determine whether improvement of the target road is necessary through the qualitative and subjective judgment of the diagnostician.

[0064] Step S250 proceeds to No Diagnostic Recommendation (S310) if the diagnostic performer determines that improvement of the target road is not necessary, and proceeds to Present Diagnostic Recommendation (S320) if it determines that improvement of the target road is necessary.

[0065] Finally, the diagnostic result derivation step (S300) can classify the drawing information collected through the automation module step (S200) into items that do not comply with relevant standards or guidelines as items requiring improvement, and generate diagnostic results for the items.

[0066] For items requiring improvement, results are generated suggesting improvement directions to meet standards, and in addition to the diagnostic results determined by the automation module, the diagnostician can additionally derive improvement items based on subjective and qualitative judgment.

[0067] The diagnostic results derived for performing the safety diagnosis of the target road can be classified and organized according to the 12 major categories of the traffic safety diagnosis checklist.

[0068] Detailed diagnostic results and improvements can be displayed for viewing on the user screen.

[0069] In the diagnostic result derivation stage (S300), items that do not meet the criteria are classified as items requiring improvement, and for items for which quantitative criteria do not exist and are difficult to judge by the automation module, the qualitative judgment of the diagnostician is reflected to derive a comprehensive diagnostic result.

[0070] The derived comprehensive diagnostic results can be classified into one of the following based on the judgment items.

[0071] No diagnostic recommendations (S310) means that the item complies with design standards or guidelines, or that improvement is deemed unnecessary based on the judgment of the diagnostician.

[0072] The presentation of diagnostic recommendations (S320) refers to cases where the relevant item does not meet the criteria or is determined by the diagnostician to require improvement, and recommendations for supplementation may be derived together.

[0073] Accordingly, the diagnostic result derivation step (S300) can perform the function of comprehensively reflecting automatic judgment results and user judgment results to finally distinguish and organize whether to recommend improvement for each item.

[0074] Next, the process of using the program of the automated method for traffic facility safety diagnosis based on road design drawings according to one embodiment of the present invention will be described.

[0076] Fig. 4a is a drawing showing the design drawing input screen of the automated traffic facility safety diagnosis program based on road design drawings, Fig. 4b is a drawing information analysis screen of the automated traffic facility safety diagnosis program based on road design drawings, Fig. 4c is a drawing showing the diagnosis execution screen of the automated traffic facility safety diagnosis program based on road design drawings, and Fig. 4d is a drawing showing the diagnosis result screen of the automated traffic facility safety diagnosis program based on road design drawings.

[0077] Referring to FIG. 4, a series of procedures from the input of a design drawing (10) to the derivation of a diagnosis result can be visually configured so that a diagnosis performer can check the status of each step and view the diagnosis result.

[0078] Referring to Figures 4a and 4b, the design drawing input and preview screen can be viewed.

[0079] The diagnostician inputs drawing files such as a longitudinal plan, a traffic safety facility plan, ancillary facility plan, and intersection detail plan, and the input design drawings (10) can be checked through a preview screen within the system.

[0080] This screen is configured to allow for a preliminary review of any abnormalities in the drawings and can subsequently be used as input data for analysis and diagnosis.

[0081] Referring to Fig. 4c, a road traffic safety diagnosis is performed, and relevant data can be checked to look up relevant standards.

[0082] Referring to Fig. 4d, you can see the automatic analysis result display screen for diagnostic items.

[0083] Information such as road structure, traffic safety facilities, and intersection shape within the design drawing (10) can be automatically extracted by the system, and the results analyzed according to the traffic safety diagnosis checklist items can be organized and displayed on the screen by item.

[0084] In addition, the diagnostic results can be summarized and presented in a table format.

[0085] If it is determined whether a specific item meets the criteria or requires improvement, the item may be classified and displayed as either "no diagnostic recommendation" (S310) or "diagnostic recommendation" (S320).

[0087] Although the method for automating traffic facility safety diagnosis based on road design drawings according to an embodiment of the present invention has been described above, the concept of the present invention is not limited to the embodiments presented in this specification. Furthermore, a person skilled in the art who understands the concept of the present invention may easily propose other embodiments within the scope of the same concept by adding, changing, deleting, or adding components, and such are also to be considered to fall within the scope of the concept of the present invention. Explanation of the symbols

[0089] 10 : Design drawings 11 : Branch Information 12: Shipping Information 13: Cross-information

Claims

Claim 1 The system comprises an input step in which a diagnostic performer collects design drawings and related data, including at least longitudinal plan drawings, traffic safety facility drawings, auxiliary facility drawings, and intersection detail drawings, and inputs them into a program; an analysis step in which information classified into point, line, and intersection information is extracted from the design drawings input in the input step; an automation module step in which a review step automatically determines whether the information extracted in the analysis step complies with the relevant standards according to the traffic safety diagnostic checklist and design guidelines; and a diagnostic result derivation step in which items requiring supplementation are identified based on the judgment result of the review step, and the diagnostic performer's judgment is reflected for qualitative items to derive the final traffic safety diagnostic result. The point information in the analysis step is provided by information installed at specific points of road traffic safety facilities, such as traffic safety signs, reflectors, speed enforcement cameras, speed bumps, and crosswalks; the line information in the analysis step is provided by information on road safety facilities continuously formed along a specific section, such as anti-slip pavement, section enforcement cameras, tunnels, bridges, and guardrails; and the intersection information in the analysis step is provided by intersection shape, channeling A method for automating traffic facility safety diagnosis based on road design drawings, characterized by having information regarding traffic safety elements directly related to driving continuity within an intersection, such as whether or not there is a left / right turn guidance line, wherein the automation module step comprises a step of judging based on quantitative values ​​or standards (S230) and a step of judging whether there is compliance with design standards and guidelines (S240), wherein if not determined in the step of S230, the automation module step comprises a step of judging whether improvement is necessary through the qualitative judgment of a diagnosis performer (S250), wherein the qualitative evaluation of the diagnosis performer is reflected in the step of S250 to classify the item as having no diagnosis recommendation (S310) or presenting a diagnosis recommendation (S320), and deriving a final comprehensive diagnosis result in the diagnosis result derivation step based on the classification result. Claim 2 The method for automating traffic facility safety diagnosis based on road design drawings according to claim 1, wherein the automation module step comprises a step of making a judgment according to the condition when the quantitative numerical standard for the extracted point, shipment, and intersection information corresponds to the condition of presence or absence, or within or outside the section range. Claim 3 In claim 2, the automation module step is characterized by having a step of determining whether the extracted information can be judged as a quantitative value, determining whether the value conforms to design standards or design guidelines, and classifying evaluation results according to whether it conforms. Claim 4 A method for automating traffic facility safety diagnosis based on road design drawings, characterized in that, in the third paragraph, items for which quantitative judgment is impossible in the automation module stage are classified as items requiring qualitative judgment by a diagnostician, and further comprising a step of reflecting the diagnostician's judgment. Claim 5 In claim 4, the above diagnostic result derivation step is characterized by having a comprehensive diagnostic result step that reflects the judgment result of the diagnostic performer regarding items requiring qualitative judgment in the above automation module step, and classifies the items into either no diagnostic recommendation or a diagnostic recommendation according to the judgment result. Claim 6 delete Claim 7 delete Claim 8 delete Claim 9 A method for automating traffic facility safety diagnosis based on road design drawings, wherein, in claim 1, the input step is characterized by viewing the road design drawing entered by the diagnosis performer through a preview screen.

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