Method for comprehensively evaluating current situation of road traffic marking quality

Abstract

The invention relates to a method for comprehensively evaluating the current quality situation of a road traffic marking, which comprises the following operation steps of: determining a test method and a detection index of the current quality situation of the road traffic marking, dividing the marking into a marking still part and a marking fallen part according to the damage situation of the marking, measuring the retro-reflection brightness coefficient condition of the former and the falling damage condition of the latter, and respectively representing the retro-reflection brightness coefficient condition and the falling damage condition by using an unqualified point number ratio EP and a marked line falling part ratio NP; and determining the current quality situation of the road traffic marking according to the values of the detection indexes EP and NP, thereby comprehensively evaluating the current quality situation of the road traffic marking. According to the method for comprehensively evaluating the current quality situation of the road traffic marking, the current quality situation of an existing marking can be evaluated and graded, the road traffic marking can be specifically maintained in the later period, the traffic safety is improved, the cost is reduced, and the service life of the marking is prolonged.

Description

Technical Field

[0001] The invention relates to the technical field of road traffic markings, and in particular to a method for comprehensively evaluating the quality status of road traffic markings. Background Art

[0002] Road traffic markings are important traffic safety facilities that guide road traffic while ensuring the safety of drivers and pedestrians. The use of road traffic markings is also increasing. At this time, in addition to making requirements for newly painted markings, it is also crucial to do a good job in quality assessment and subsequent maintenance of existing markings.

[0003] At present, in the daily maintenance of road traffic markings, whether the markings need maintenance mainly depends on the subjective judgment of the staff. This practice not only easily leads to the failure to repair the problematic markings in time, thereby increasing the potential traffic safety hazards, but also may cause unnecessary repainting of markings that are still in good condition, resulting in waste of resources and financial burden. Since the markings usually cover longer roads, the high cost problem caused by blind repainting is more prominent. Therefore, it is particularly important to propose a scientific and systematic method for comprehensively evaluating the current status of the quality of road traffic markings. This method can ensure that subsequent maintenance work is more targeted, improve traffic safety, optimize resource management, and avoid unnecessary expenses. Summary of the invention

[0004] Technical problem to be solved: In view of the problems existing in the prior art, the present invention provides a method for comprehensively evaluating the quality status of road traffic markings, aiming to evaluate the quality status of existing road traffic markings and rate them so that the markings can be maintained more specifically in the future.

[0005] Technical solution: A method for comprehensively evaluating the quality status of road traffic markings, the steps are as follows:

[0006] Step 1: Randomly select m length ranges of at least 1 meter in the length direction of the road traffic marking to be evaluated, where m is a natural number ≥ 1;

[0007] Step 2: Evenly determine n points within each selected length range, ensuring that each point can extend 0.5m to the left and right, and obtain n 1-meter marking areas, where n is a natural number ≥ 1;

[0008] Step 3: According to the damage of the markings, divide the 1-meter marking area into two parts, namely the part with markings and the part with markings falling off;

[0009] Step 4: Randomly select several points on the marked part of each 1-meter marked area, and use a retroreflection brightness coefficient measuring instrument to measure the retroreflection brightness coefficient R of each point. L , with the retroreflection brightness coefficient R LAs an indicator, count the number of unqualified points and calculate the proportion of unqualified points EP ij , E.P. ij = Number of unqualified points / number of selected points, i and j are natural numbers, and 1≤i≤m, 1≤j≤n; for each 1-meter marking area, the part of the marking that has fallen off is photographed by a camera, and the proportion of the marking falling off part to the 1-meter marking area is calculated by image processing software, which is recorded as NP ij , namely NP ij = Marking detachment area / 1 meter marking area, i and j are natural numbers, and 1≤i≤m, 1≤j≤n; calculate the EP obtained from n 1-meter marking areas ij and NP ij The mean is denoted as EP ai and NP ai , Calculate the EP within m 500-meter ranges ai and NP ai The mean values ​​are respectively

[0010] Step 5. When EP>0.5, the rating is unqualified; when NP>0.3, the rating is unqualified; when one of the two indicators of EP and NP exceeds the specified value, this marking line is rated as unqualified and maintenance should be carried out immediately.

[0011] Preferably, in the step one, m length ranges of 500 meters are randomly selected in the length direction of the road traffic marking to be evaluated. When the total length of the road traffic marking to be evaluated is ≤500 meters, the full length of the marking is taken as the selection range, and m is 1; when 500 meters < the total length of the road traffic marking to be evaluated <1500 meters, a 500-meter length range is selected at the end and the middle of the marking, and m is 2; when the total length of the road traffic marking to be evaluated is ≥1500 meters, a 500-meter length range is selected at the beginning and the end and the middle of the marking, and m is 3.

[0012] Preferably, the road traffic marking to be evaluated in step 1 is a hot-melt marking, a two-component marking or a water-based marking.

[0013] Preferably, in step 2, n points are evenly determined within each selected 500-meter length range to ensure that each point can extend 0.5 m to the left and right, thereby obtaining n 1-meter marking areas, where n is a natural number between 1 and 499.

[0014] Preferably, in step 4, 6 points are randomly selected from the portion of each 1-meter marked area that still has markings.

[0015] Preferably, in step 4, the retroreflective brightness coefficient R LWhen counting the number of unqualified points, for white markings, the retroreflective brightness coefficient is ≥ 80mcd·m -2 ·lx -1 Considered qualified, for yellow marking line, the retroreflective brightness coefficient is ≥50mcd·m -2 ·lx -1 It is deemed qualified, otherwise it is unqualified.

[0016] Preferably, the image processing software in step 4 is image-pro or PS.

[0017] Preferably, in step five, when 0≤EP≤0.17, the rating is excellent; when 0.17<EP≤0.33, the rating is good; when 0.33<EP≤0.5, the rating is passing; when 0≤NP≤0.1, the rating is excellent; when 0.1<NP≤0.2, the rating is good; when 0.2<NP≤0.3, the rating is passing; if the ratings obtained according to EP and NP are different, the lower rating is selected as the comprehensive quality status rating of the road marking. When the rating is excellent or good, it means that the road marking is in good condition and does not need to be maintained temporarily; when the rating is passing, the road marking needs to be continuously monitored, the service status of the road marking is regularly checked, and timely maintenance is carried out when problems are found; finally, when the rating is unsatisfactory, it is regarded as a problematic road marking that needs immediate maintenance, and a warning sign needs to be set to inform to avoid traffic accidents.

[0018] Beneficial effect: The present invention comprehensively considers the damage of the fallen-off part of the marking and the retro-reflective brightness coefficient of the remaining marked part to rate the quality status of the existing road traffic markings, which is conducive to more targeted maintenance of the markings in the later stage, timely detection of severely damaged markings and maintenance and replacement, thereby improving traffic safety, reducing costs and extending the service life of the markings. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification, and will not limit the present invention. In the accompanying drawings:

[0020] Figure 1 The present invention is a flow chart of a method for comprehensively evaluating the quality status of road traffic markings. DETAILED DESCRIPTION

[0021] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0022] In the embodiments of this specification, the road traffic markings to be evaluated are hot melt markings, two-component markings or water-based markings.

[0023] This specification provides a method for comprehensively evaluating the quality status of road traffic markings, and the steps are as follows:

[0024] Step 1: Randomly select m length ranges of at least 1 meter in the length direction of the road traffic marking to be evaluated, where m is a natural number ≥ 1;

[0025] Step 2: Evenly determine n points within each selected length range, ensuring that each point can extend 0.5m to the left and right, and obtain n 1-meter marking areas, where n is a natural number ≥ 1;

[0026] Step 3: According to the damage of the markings, divide the 1-meter marking area into two parts, namely the part with markings and the part with markings falling off;

[0027] Step 4: Randomly select several points on the marked part of each 1-meter marked area, and use a retroreflection brightness coefficient measuring instrument to measure the retroreflection brightness coefficient R of each point. L , with the retroreflection brightness coefficient R L As an indicator, count the number of unqualified points and calculate the proportion of unqualified points EP ij , E.P. ij = Number of unqualified points / number of selected points, i and j are natural numbers, and 1≤i≤m, 1≤j≤n; for each 1-meter marking area, the part of the marking that has fallen off is photographed by a camera, and the proportion of the marking falling off part to the 1-meter marking area is calculated by image processing software, which is recorded as NP ij , namely NP ij = Marking detachment area / 1 meter marking area, i and j are natural numbers, and 1≤i≤m, 1≤j≤n; calculate the EP obtained from n 1-meter marking areas ij and NP ij The mean is denoted as EP ai and NP ai , Calculate the EP within m 500-meter ranges ai and NP ai The mean values ​​are respectively

[0028] Step 5. When EP>0.5, the rating is unqualified; when NP>0.3, the rating is unqualified; when one of the two indicators of EP and NP exceeds the specified value, this marking line is rated as unqualified and maintenance should be carried out immediately.

[0029] As a further preferred embodiment of the present invention, in the step one, m length ranges of 500 meters are randomly selected in the length direction of the road traffic marking to be evaluated. When the total length of the road traffic marking to be evaluated is ≤500 meters, the full length of the marking is taken as the selection range, and m is 1; when 500 meters < the total length of the road traffic marking to be evaluated <1500 meters, a 500-meter length range is selected at the end and the middle of the marking, and m is 2; when the total length of the road traffic marking to be evaluated is ≥1500 meters, a 500-meter length range is selected at the beginning and the end and the middle of the marking, and m is 3.

[0030] As a further preferred embodiment of the present invention, the road traffic marking to be evaluated in step 1 is a hot melt marking, a two-component marking or a water-based marking.

[0031] As a further preferred embodiment of the present invention, in step 2, n points are evenly determined within each selected 500-meter length range to ensure that each point can extend 0.5 m to the left and right, thereby obtaining n 1-meter marking areas, where n is a natural number between 1 and 499.

[0032] As a further preferred embodiment of the present invention, in the step 4, 6 points are randomly selected from any part of each 1-meter marking area that still has markings.

[0033] As a further preferred embodiment of the present invention, in step 4, the retroreflective brightness coefficient R L When counting the number of unqualified points, for white markings, the retroreflective brightness coefficient is ≥ 80mcd·m -2 ·lx -1 Considered qualified, for yellow marking line, the retroreflective brightness coefficient is ≥50mcd·m -2 ·lx -1 It is deemed qualified, otherwise it is unqualified.

[0034] As a further preferred embodiment of the present invention, the image processing software in step 4 is image-pro. The processing process is as follows: first, use image-pro image processing software to open the photograph of the marked area. No other parts of the photo shall appear except the marked area. Set the scale of 1um and apply it to check whether the scale is set correctly; secondly, use the Count / Size function to select all the parts where the marking lines fall off on the picture by adjusting the moving contrast interval, and apply the mark; then, select the information to be measured, that is, the particle area, and set the area interval to be measured to ensure that the area of ​​all the parts where the marking lines fall off is calculated; finally, export the data and paste the results into an Excel table. PerArea (Obj / Total) indicates the proportion of the selected area to the picture, that is, the proportion of the marking line falling off part to the marking line area of ​​1 linear meter in the photographed picture.

[0035] As a further preferred embodiment of the present invention, in step five, when 0≤EP≤0.17, the rating is excellent; when 0.17<EP≤0.33, the rating is good; when 0.33<EP≤0.5, the rating is passing; when 0≤NP≤0.1, the rating is excellent; when 0.1<NP≤0.2, the rating is good; when 0.2<NP≤0.3, the rating is passing; if the ratings obtained according to EP and NP are different, the lower rating is selected as the comprehensive quality status rating of the marking. When the rating is excellent or good, it means that the marking is in good condition and does not need to be maintained temporarily; when the rating is passing, the road marking needs to be continuously monitored, the service status of the marking is regularly checked, and timely maintenance is performed when problems are found; finally, when the rating is unsatisfactory, it is regarded as a problematic marking that needs immediate maintenance, and a warning sign needs to be set to inform to avoid traffic accidents.

[0036] The specific embodiments are as follows:

[0037] Example

[0038] In this embodiment, a method for comprehensively evaluating the quality status of road traffic markings is provided, and the steps are as follows:

[0039] Step 1. Randomly select m 500-meter length ranges in the length direction of the road traffic marking to be evaluated, where m is a natural number ≥1; when the total length of the road traffic marking to be evaluated is ≤500 meters, the full length of the marking is used as the selection range, and m is 1; when 500 meters < the total length of the road traffic marking to be evaluated <1500 meters, select a 500-meter length range at the end and the middle of the marking, and m is 2; when the total length of the road traffic marking to be evaluated is ≥1500 meters, select a 500-meter length range at the beginning, end and middle of the marking, and m is 3.

[0040] Step 2: Evenly determine n points within each selected length range, ensuring that each point can extend 0.5m to the left and right, and obtain n 1-meter marking areas, where n is a natural number between 1 and 499. In this embodiment, n is 6, and a point is selected every 100m;

[0041] Step 3: According to the damage of the markings, divide the 1-meter marking area into two parts, namely the part with markings and the part with markings falling off;

[0042] Step 4: Randomly select 6 points from any part of each 1-meter marking area that still has markings, and use a retroreflection brightness coefficient measuring instrument to measure the retroreflection brightness coefficient R of each point. L , with the retroreflection brightness coefficient R L As an indicator, the number of unqualified points is counted (based on the retroreflection brightness coefficient R LWhen counting the number of unqualified points, for white markings, the retroreflective brightness coefficient is ≥ 80mcd·m -2 ·lx -1 It is considered qualified. For yellow marking lines, the retroreflective brightness coefficient is ≥50mcd·m -2 ·lx -1 Qualified, otherwise unqualified), and calculate the unqualified points percentage EP ij , E.P. ij = Number of unqualified points / number of selected points, i and j are natural numbers, and 1≤i≤m, 1≤j≤n. Within each 500-meter range, there are 6 1-meter marking areas, and there are m 500-meter ranges. The EP of each area needs to be calculated. ij ; For each 1-meter marking area, the part of the marking that has fallen off is photographed by a camera, and the proportion of the marking that has fallen off to the 1-meter marking area is calculated using image processing software (image-pro or PS), which is recorded as NP ij , namely NP ij = Marking detachment area / 1 meter marking area, i and j are natural numbers, and 1≤i≤m, 1≤j≤n; calculate the EP obtained from 6 1-meter marking areas within each 500-meter length range ij and NP ij The mean is denoted as EP ai and NP ai , Calculate the EP within m 500-meter ranges ai and NP ai The mean values ​​are respectively

[0043] Step 5: When 0≤EP≤0.17, the rating is excellent; when 0.17<EP≤0.33, the rating is good; when 0.33<EP≤0.5, the rating is passing; when EP>0.5, the rating is failing; when 0≤NP≤0.1, the rating is excellent; when 0.1<NP≤0.2, the rating is good; when 0.2<NP≤0.3, the rating is passing; when NP>0.3, the rating is failing; see the table below for details:

[0044] Table 1 Rating of the quality status of road traffic markings

[0045]

[0046]

[0047] If the ratings obtained based on EP and NP are different, the lower rating is selected as the comprehensive quality status rating of the road marking. When the rating is excellent or good, it means that the road marking is in good condition and does not need to be maintained for the time being. When the rating is passing, the road marking needs to be continuously monitored, the service status of the road marking needs to be checked regularly, and timely maintenance is required when problems are found. Finally, when the rating is failing, it is regarded as a problematic road marking that needs immediate maintenance, and a warning sign needs to be set up to inform people to avoid traffic accidents.

[0048] Application Example 1

[0049] This application example uses a 2000m long hot melt road marking on a highway as the test object, m=3, and refers to the evaluation method of the above embodiment. The results are shown in Table 2 below:

[0050] Table 2 Test results of hot melt road marking

[0051]

[0052] The comprehensive evaluation index of the hot melt type road marking is EP = 0.28 (0.17 < EP < 0.33), NP = 0.06 (NP < 0.1). According to the difference in the ratings obtained from the two, the lower rating is selected as the comprehensive quality status rating of the road marking, and the road marking is rated as good, which means that the road marking is in good condition and does not need to be maintained for the time being.

[0053] Application Example 2

[0054] This application example takes a two-component marking with a total length of 1000m on a municipal road as the detection object, m is 2, and the evaluation method of the above embodiment is referred to. The results are shown in Table 3 below:

[0055] Table 3 Two-component marking test results

[0056]

[0057] The comprehensive evaluation index of the two-component road marking is EP = 0.35 (0.33 < EP < 0.50), NP = 0.21 (0.2 < NP < 0.3), so the comprehensive quality status rating of the road marking is passing. At this time, it is necessary to continuously monitor the road marking, regularly check the service status of the road marking, and promptly maintain it when problems are found.

[0058] Application Example 3

[0059] This application example takes a water-based marking with a total length of 500m on a municipal road as the detection object, m=1, and refers to the evaluation method of the above embodiment. The results are shown in Table 4:

[0060] Table 4 Water-based marking test results

[0061]

[0062]

[0063] The comprehensive evaluation index of the water-based road marking is EP = 0.58 (EP> 0.50), NP = 0.23 (0.2 < NP < 0.3). Because EP has exceeded the specified value, the road marking is rated as unsatisfactory. It is considered a problematic road marking that requires immediate maintenance, and a warning sign needs to be set up to inform the public to avoid traffic accidents.

[0064] It will be apparent to those skilled in the art that the invention is not limited to the details of the exemplary embodiments described above and that the invention can be implemented in other specific forms without departing from the spirit or essential features of the invention. Therefore, the embodiments should be considered exemplary and non-limiting in all respects, and the scope of the invention is defined by the appended claims rather than the foregoing description, and it is intended that all variations falling within the meaning and scope of the equivalent elements of the claims be included in the invention. Any reference numeral in a claim should not be considered as limiting the claim to which it relates.

[0065] In addition, it should be understood that although the present specification is described according to implementation modes, not every implementation mode contains only one independent technical solution. This description of the specification is only for the sake of clarity. Those skilled in the art should regard the specification as a whole. The technical solutions in each embodiment may also be appropriately combined to form other implementation modes that can be understood by those skilled in the art.

Claims

1. A method for comprehensively evaluating the quality status of road traffic markings, characterized in that: Here are the steps: Step 1: Randomly select m length ranges of at least 1 meter in the length direction of the road traffic marking to be evaluated, where m is a natural number ≥ 1; Step 2: Evenly determine n points within each selected length range, ensuring that each point can extend 0.5m to the left and right, and obtain n 1-meter marking areas, where n is a natural number ≥ 1; Step 3: According to the damage of the markings, divide the 1-meter marking area into two parts, namely the part with markings and the part with markings falling off; Step 4: Randomly select several points on the marked part of each 1-meter marked area, and use a retroreflection brightness coefficient measuring instrument to measure the retroreflection brightness coefficient R of each point. L , with the retroreflection brightness coefficient R L As an indicator, count the number of unqualified points and calculate the proportion of unqualified points EP ij , E.P. ij = Number of unqualified points / number of selected points, i and j are natural numbers, and 1≤i≤m, 1≤j≤n; for each 1-meter marking area, the part of the marking that has fallen off is photographed by a camera, and the proportion of the marking falling off part to the 1-meter marking area is calculated by image processing software, which is recorded as NP ij , namely NP ij = Marking detachment area / 1 meter marking area, i and j are natural numbers, and 1≤i≤m, 1≤j≤n; calculate the EP obtained from n 1-meter marking areas ij and NP ij The mean is denoted as EP ai and NP ai , Calculate the EP within m 500-meter ranges ai and NP ai The mean values ​​are recorded as Step 5. When EP>0.5, the rating is unqualified; when NP>0.3, the rating is unqualified; when one of the two indicators of EP and NP exceeds the specified value, this marking line is rated as unqualified and maintenance should be carried out immediately.

2. A method for comprehensively evaluating the quality status of road traffic markings according to claim 1, characterized in that: In the step 1, m length ranges of 500 meters are randomly selected in the length direction of the road traffic marking to be evaluated. When the total length of the road traffic marking to be evaluated is ≤500 meters, the full length of the marking is used as the selection range, and m is 1; when 500 meters < the total length of the road traffic marking to be evaluated <1500 meters, a 500-meter length range is selected at the end and the middle of the marking, and m is 2; when the total length of the road traffic marking to be evaluated is ≥1500 meters, a 500-meter length range is selected at the beginning, end and the middle of the marking, and m is 3.

3. The method for comprehensively evaluating the quality status of road traffic markings according to claim 1, characterized in that: The road traffic marking to be evaluated in step 1 is a hot melt marking, a two-component marking or a water-based marking.

4. The method for comprehensively evaluating the quality status of road traffic markings according to claim 1, characterized in that: In the step 2, n points are evenly determined within each selected 500-meter length range to ensure that each point can extend 0.5 m to the left and right, thereby obtaining n 1-meter marking areas, where n is a natural number between 1 and 499.

5. The method for comprehensively evaluating the quality status of road traffic markings according to claim 1, characterized in that: In the step 4, 6 points are randomly selected from the portion of each 1-meter marked area that still has markings.

6. The method for comprehensively evaluating the quality status of road traffic markings according to claim 1, characterized in that: In step 4, the retroreflection brightness coefficient R L When counting the number of unqualified points, for white markings, the retroreflective brightness coefficient is ≥ 80mcd·m -2 ·lx -1 Considered qualified, for yellow marking line, the retroreflective brightness coefficient is ≥50mcd·m -2 ·lx -1 It is deemed qualified, otherwise it is unqualified.

7. The method for comprehensively evaluating the quality status of road traffic markings according to claim 1, characterized in that: The image processing software in step 4 is image-pro or PS.

8. The method for comprehensively evaluating the quality status of road traffic markings according to claim 1, characterized in that: In the step 5, when 0≤EP≤0.17, the rating is excellent; when 0.17<EP≤0.33, the rating is good; when 0.33<EP≤0.5, the rating is passing; when 0≤NP≤0.1, the rating is excellent; when 0.1<NP≤0.2, the rating is good; when 0.2<NP≤0.3, the rating is passing; if the ratings obtained according to EP and NP are different, the lower rating is selected as the comprehensive quality status rating of the road marking. When the rating is excellent or good, it means that the road marking is in good condition and does not need to be maintained temporarily; when the rating is passing, the road marking needs to be continuously monitored, the service status of the road marking is regularly checked, and timely maintenance is carried out when problems are found; finally, when the rating is unsatisfactory, it is regarded as a problematic road marking that needs immediate maintenance, and a warning sign needs to be set to inform to avoid traffic accidents.

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