不再带着炸弹睡觉:保护城市安全免受危险物品的二重奏系统No Longer Sleeping with a Bomb: A Duet System for Protecting Urban Safety from Dangerous Goods |
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课程网址: | http://videolectures.net/kdd2017_wang_dangerous_goods/ |
主讲教师: | Jingyuan Wang |
开课单位: | 北航大学 |
开课时间: | 2017-10-09 |
课程语种: | 英语 |
中文简介: | 近年来,世界各地的特大城市不断发展,城市安全已成为现代城市生活的重中之重。在各种威胁中,通过城市和城市周边运输的气体、危险化学品等危险品日益成为我们每天睡觉时的致命“炸弹”。学术界和政府都在致力于危险品运输问题的研究,但从大数据的角度对危险品运输问题进行量化,并探究其内在动力,还需要进一步的研究。在本文中,我们提出了一个名为DGeye的新系统,其特点是DGT轨迹数据和人类移动数据之间的“二重唱”,用于危险区域识别。此外,大眼创新地将风险模式作为DGT管理的重点,建立风险模式之间的因果关系网络,用于痛点识别、归因和预测。在北京和天津的实验证明了“大眼”的有效性。特别是,大爷部署后,已经推动北京政府为著名的簋街美食街铺设了天然气管道。 |
课程简介: | Recent years have witnessed the continuous growth of megalopolises worldwide, which makes urban safety a top priority in modern city life. Among various threats, dangerous goods such as gas and hazardous chemicals transported through and around cities have increasingly become the deadly “bomb” we sleep with every day. In both academia and government, tremendous efforts have been dedicated to dealing with dangerous goods transportation (DGT) issues, but further study is still in great need to quantify the problem and explore its intrinsic dynamics in a big data perspective. In this paper, we present a novel system called DGeye, which features a “duet” between DGT trajectory data and human mobility data for risky zones identification. Moreover, DGeye innovatively takes risky patterns as the keystones in DGT management, and builds causality networks among them for pain points identification, attribution and prediction. Experiments on both Beijing and Tianjin cities demonstrate the effectiveness of DGeye. In particular, DGeye after deployment has driven the Beijing government to lay down gas pipelines for the famous Guijie food street. |
关 键 词: | 城市安全; 危险区域; 风险模式 |
课程来源: | 视频讲座网 |
数据采集: | 2023-03-22:chenxin01 |
最后编审: | 2023-05-22:chenxin01 |
阅读次数: | 31 |