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Intelligent pavement condition survey:Overview of current researches and practices
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作者 Allen A.Zhang Jing Shang +15 位作者 Baoxian Li Bing Hui Hongren Gong Lin Li You Zhan Changfa Ai Haoran Niu Xu Chu Zilong Nie Zishuo Dong Anzheng He Hang Zhang Dingfeng Wang Yi Peng Yifan Wei Huixuan Cheng 《Journal of Road Engineering》 2024年第3期257-281,共25页
Automated pavement condition survey is of critical importance to road network management.There are three primary tasks involved in pavement condition surveys,namely data collection,data processing and condition evalua... Automated pavement condition survey is of critical importance to road network management.There are three primary tasks involved in pavement condition surveys,namely data collection,data processing and condition evaluation.Artificial intelligence(AI)has achieved many breakthroughs in almost every aspect of modern technology over the past decade,and undoubtedly offers a more robust approach to automated pavement condition survey.This article aims to provide a comprehensive review on data collection systems,data processing algorithms and condition evaluation methods proposed between 2010 and 2023 for intelligent pavement condition survey.In particular,the data collection system includes AI-driven hardware devices and automated pavement data collection vehicles.The AI-driven hardware devices including right-of-way(ROW)cameras,ground penetrating radar(GPR)devices,light detection and ranging(LiDAR)devices,and advanced laser imaging systems,etc.These different hardware components can be selectively mounted on a vehicle to simultaneously collect multimedia information about the pavement.In addition,this article pays close attention to the application of artificial intelligence methods in detecting pavement distresses,measuring pavement roughness,identifying pavement rutting,analyzing skid resistance and evaluating structural strength of pavements.Based upon the analysis of a variety of the state-of-the-art artificial intelligence methodologies,remaining challenges and future needs with respect to intelligent pavement condition survey are discussed eventually. 展开更多
关键词 Pavement condition survey Pavement data collection Artificial intelligence Machine learning Deep learning Pavement condition evaluation
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Actual condition of Seoullo 7017 overpass reseneration project based on field surveys 被引量:2
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作者 Yan Hong 《Frontiers of Architectural Research》 CSCD 2018年第3期415-423,共9页
For a city with a car based transportation system and a highway within the system, the highway has a negative impact on the city's skyline and landscape. The Seoul Metropolitan Government has decided to regenerate ra... For a city with a car based transportation system and a highway within the system, the highway has a negative impact on the city's skyline and landscape. The Seoul Metropolitan Government has decided to regenerate rather than to dismantle the old overpass. This is one way to recycle old highways as attempted by other cities. This study has assessed the Seoul Station Overpass regeneration project, namely Seouilo 7017, in terms of the space utilization, barrier free design, amenities and accessibility. As fundamental research on the overpass regeneration, this study provides the necessary information and experience to other similar projects. 展开更多
关键词 Seoul station overpassregeneration Seoullo 7017 Urban regeneration Actual condition survey AMENITIES Accessibitity
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厦门市公共场所集中空调通风系统卫生状况及评价 被引量:10
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作者 黄小金 叶秀恋 +5 位作者 白宏 王宝珍 陈剑锋 黄培枝 洪华荣 王娟 《旅行医学科学》 2010年第3期12-16,共5页
目的调查评价厦门市公共场所集中空调通风系统污染状况,为卫生管理提供依据。方法依据《公共场所集中空调通风系统卫生规范》(卫监督发〔2006〕58号)的要求,于2009年5月~9月对厦门市四星级以上宾馆及大型公共场所共43家集中空调进行卫... 目的调查评价厦门市公共场所集中空调通风系统污染状况,为卫生管理提供依据。方法依据《公共场所集中空调通风系统卫生规范》(卫监督发〔2006〕58号)的要求,于2009年5月~9月对厦门市四星级以上宾馆及大型公共场所共43家集中空调进行卫生检测,检测送风中可吸入颗粒物(PM10)和细菌总数、真菌总数、β-溶血性链球菌;风管内表面积尘量和积尘中细菌总数、真菌总数β-溶血性链球菌以及检测冷却塔水中的嗜肺军团菌。结果公共场所集中空调送风系统可吸入颗粒物(PM10)合格率93.55%,细菌总数合格率为90.32%,真菌总数合格率为96.77%,风管内表面积尘量合格率为98.49%,风管内细菌总数合格率为97.24%,风管内真菌合格率为94.97%,送风系统及风管内β-溶血性链球菌均未检出,冷却塔水中的嗜肺军团菌检出率为29.17%。结论公共场所集中空调通风系统存在一定程度的污染,应加强卫生管理。 展开更多
关键词 Air pollution Heating-ventilating-air conditioning system Health survey
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