Sarfaraz Ahmed, P. Vedagiri, V. Kakade, K. K. Krishna Rao
{"title":"地面激光扫描仪路面损伤评价","authors":"Sarfaraz Ahmed, P. Vedagiri, V. Kakade, K. K. Krishna Rao","doi":"10.1680/jinam.22.00014","DOIUrl":null,"url":null,"abstract":"The accurate measurement of pavement distresses is essential for setting preservation and rehabilitation priorities. The manual measurement of surface distresses is the most commonly used method for evaluating the severity of pavement distresses. However, the manual method has less accuracy and consistency. So that in the present study, the images of different pavement distresses, potholes, cracking, patching, and ravelling for the selected sections were captured using terrestrial laser scanner (TLS). The surface area of these distresses was measured in Leica Cyclone software. The obtained results were validated by collecting a similar distress pattern at a different location using the same equipment. The measured surface area is executed in a GIS platform to develop an automated database for the prioritization of selected pavement sections of Mumbai city for pavement maintenance. It was observed that the TLS technique could be used effectively for safer and more accurate surface distress measurement.","PeriodicalId":43387,"journal":{"name":"Infrastructure Asset Management","volume":"284 1","pages":""},"PeriodicalIF":1.9000,"publicationDate":"2023-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Pavement surface distress evaluation using terrestrial laser scanner\",\"authors\":\"Sarfaraz Ahmed, P. Vedagiri, V. Kakade, K. K. Krishna Rao\",\"doi\":\"10.1680/jinam.22.00014\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The accurate measurement of pavement distresses is essential for setting preservation and rehabilitation priorities. The manual measurement of surface distresses is the most commonly used method for evaluating the severity of pavement distresses. However, the manual method has less accuracy and consistency. So that in the present study, the images of different pavement distresses, potholes, cracking, patching, and ravelling for the selected sections were captured using terrestrial laser scanner (TLS). The surface area of these distresses was measured in Leica Cyclone software. The obtained results were validated by collecting a similar distress pattern at a different location using the same equipment. The measured surface area is executed in a GIS platform to develop an automated database for the prioritization of selected pavement sections of Mumbai city for pavement maintenance. It was observed that the TLS technique could be used effectively for safer and more accurate surface distress measurement.\",\"PeriodicalId\":43387,\"journal\":{\"name\":\"Infrastructure Asset Management\",\"volume\":\"284 1\",\"pages\":\"\"},\"PeriodicalIF\":1.9000,\"publicationDate\":\"2023-05-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Infrastructure Asset Management\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1680/jinam.22.00014\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"MANAGEMENT\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Infrastructure Asset Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1680/jinam.22.00014","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"MANAGEMENT","Score":null,"Total":0}
Pavement surface distress evaluation using terrestrial laser scanner
The accurate measurement of pavement distresses is essential for setting preservation and rehabilitation priorities. The manual measurement of surface distresses is the most commonly used method for evaluating the severity of pavement distresses. However, the manual method has less accuracy and consistency. So that in the present study, the images of different pavement distresses, potholes, cracking, patching, and ravelling for the selected sections were captured using terrestrial laser scanner (TLS). The surface area of these distresses was measured in Leica Cyclone software. The obtained results were validated by collecting a similar distress pattern at a different location using the same equipment. The measured surface area is executed in a GIS platform to develop an automated database for the prioritization of selected pavement sections of Mumbai city for pavement maintenance. It was observed that the TLS technique could be used effectively for safer and more accurate surface distress measurement.