关键词: |
monitoring, highway maintenance, performance evaluation, real time, field tests, rehabilitation, algorithms, classification systems, statistics, data collection, management, roads, pavement distress, highways |
摘要: |
Statistics published by the Federal Highway Administration indicate that the maintenance and rehabilitation of highway pavement in the United States requires over 17 billion dollars per year. Currently, maintenance and repairs account for nearly one-third of all federal, state and local government road expenditures. In the present manual systems, road crews walk along a given road with a vehicle following behind. When the crew finds cracks, they stop the vehicle and measure the cracks. While pavement monitoring and evaluation are essential requirements for effective pavement management, the manual systems described above are slow, costly, unsafe and subjective. Ideally, an automated crack detection system should detect all types of cracking and other surface distress of all sizes and at any collection speed. It should be affordable, easy to operate, and capable of daylight operation. Pavement management systems should provide meaningful, repeatable distress ratings to sections of pavement, thus supplying critical information for maintenance-related decision making. Much effort has been paid to the development of automated pavement crack detection algorithms and systems. / Supplementary Notes: See also PB2003-101350. Sponsored by Transportation Research Board, Washington, DC. IDEA Programs. / Availability Note: Product reproduced from digital image. Order this product from NTIS by: phone at 1-800-553-NTIS (U.S. customers); (703)605-6000 (other countries); fax at (703)605-6900; and email at orders@ntis.gov. NTIS is located at 5285 Port Royal Road, Springfield, VA, 22161, USA. |