为提高区域应急响应速度,增强区域内医疗、消防和紧急物资运输等能力,提出一种基于复杂网络理论的航空应急救援站脆弱性分析方法。首先,构建航空应急救援场站脆弱性评价指标体系,将具体分析指标划分为三类:通过资料搜集直接获得的定量...为提高区域应急响应速度,增强区域内医疗、消防和紧急物资运输等能力,提出一种基于复杂网络理论的航空应急救援站脆弱性分析方法。首先,构建航空应急救援场站脆弱性评价指标体系,将具体分析指标划分为三类:通过资料搜集直接获得的定量计算指标、使用模糊综合评价法进行评价获得的定性评价指标以及借助Pajek工具进行计算得到的网络特性指标;其次,使用集成决策实验室法(decision making trial and evaluation laboratory, DEMATEL)对各评价指标的权重进行估计;最后,使用灰度关联分析法综合评价各节点的脆弱性指数。对某地区现有运输机场布局案例进行分析,结果表明:所提方法在充分考虑待选机场的自身应急救援建设条件的基础上,兼顾救援网络中各机场间的互补性和协同作用,为未来的航空应急救援站选址研究提供了一种高效可靠的评价分析方法。展开更多
A technology for unintended lane departure warning was proposed. As crucial information, lane boundaries were detected based on principal component analysis of grayscale distribution in search bars of given number and...A technology for unintended lane departure warning was proposed. As crucial information, lane boundaries were detected based on principal component analysis of grayscale distribution in search bars of given number and then each search bar was tracked using Kalman filter between frames. The lane detection performance was evaluated and demonstrated in ways of receiver operating characteristic, dice similarity coefficient and real-time performance. For lane departure detection, a lane departure risk evaluation model based on lasting time and frequency was effectively executed on the ARM-based platform. Experimental results indicate that the algorithm generates satisfactory lane detection results under different traffic and lighting conditions, and the proposed warning mechanism sends effective warning signals, avoiding most false warning.展开更多
文摘为提高区域应急响应速度,增强区域内医疗、消防和紧急物资运输等能力,提出一种基于复杂网络理论的航空应急救援站脆弱性分析方法。首先,构建航空应急救援场站脆弱性评价指标体系,将具体分析指标划分为三类:通过资料搜集直接获得的定量计算指标、使用模糊综合评价法进行评价获得的定性评价指标以及借助Pajek工具进行计算得到的网络特性指标;其次,使用集成决策实验室法(decision making trial and evaluation laboratory, DEMATEL)对各评价指标的权重进行估计;最后,使用灰度关联分析法综合评价各节点的脆弱性指数。对某地区现有运输机场布局案例进行分析,结果表明:所提方法在充分考虑待选机场的自身应急救援建设条件的基础上,兼顾救援网络中各机场间的互补性和协同作用,为未来的航空应急救援站选址研究提供了一种高效可靠的评价分析方法。
基金Project(51175159)supported by the National Natural Science Foundation of ChinaProject(2013WK3024)supported by the Science andTechnology Planning Program of Hunan Province,ChinaProject(CX2013B146)supported by the Hunan Provincial InnovationFoundation for Postgraduate,China
文摘A technology for unintended lane departure warning was proposed. As crucial information, lane boundaries were detected based on principal component analysis of grayscale distribution in search bars of given number and then each search bar was tracked using Kalman filter between frames. The lane detection performance was evaluated and demonstrated in ways of receiver operating characteristic, dice similarity coefficient and real-time performance. For lane departure detection, a lane departure risk evaluation model based on lasting time and frequency was effectively executed on the ARM-based platform. Experimental results indicate that the algorithm generates satisfactory lane detection results under different traffic and lighting conditions, and the proposed warning mechanism sends effective warning signals, avoiding most false warning.
