@article{oai:nagasaki-u.repo.nii.ac.jp:00001211,
 author = {寺野, 聡恭 and 小金丸, 暁 and 西川, 貴文 and 佐々木, 浩 and 松田, 浩},
 issue = {91},
 journal = {長崎大学大学院工学研究科研究報告, Reports of Graduate School of Engineering, Nagasaki University},
 month = {Jul},
 note = {Maintenance of road pavement on expressways and national roads is carried out using Maintenance Control Index (MCI), which is evaluated by flatness, crack rate, and plastic flow rutting amount. For measuring flatness, crack rate, and plastic flow rutting amount of the road, it takes a lot of cost using dedicated equipment and vehicles, so it is impossible to carry out to inspect road paving of local governments by using MCI just like highways and national highways. For this reason, measures are required to enable maintenance and management of road pavement at a simple and low cost. In this study, a simple diagnosis of pavement performance was conducted using travel data acquired and stored by the acceleration sensor of the smartphone, and a method of screening the section requiring MCI inspection was presented. Furthermore, we analyzed the image of the road surface image shot by smartphone and verified the calculation method of the crack rate., 長崎大学大学院工学研究科研究報告, 48(91), pp.22-30; 2018},
 pages = {22--30},
 title = {スマートフォンを用いた道路舗装維持管理におけるひび割れ率の計測法},
 volume = {48},
 year = {2018}
}