Optimal placement of omnidirectional sensors in a transportation network for effective emergency response and crash characterization

Rapid motor vehicle crash detection and characterization is possible through the use of Intelligent Transportation Systems (ITS) and sensors are an integral part of any ITS system. The major focus of this paper is on developing optimal placement of accident detecting omnidirectional sensors to maximize incident detection capabilities and provide ample opportunities for data fusion and crash characterization. Both omnidirectional sensors (placed in suitable infrastructure locations) and mobile sensors are part of our analysis. The surrogates used are acoustic sensors (omnidirectional) and Advanced Automated Crash Notification (AACN) sensors (mobile). This data fusion rich placement is achieved through a hybrid optimization model comprising of an explicit–implicit coverage model followed by an evaluation and local search optimization using simulation. The compound explicit–implicit model delivers good initial solutions and improves the detection and data fusion capabilities compared to the explicit model alone. The results of the studies conducted quantify the use of a data fusion capable environment in crash detection scenarios, and the simulation tool developed helps a decision maker evaluate sensor placement strategy.     

松花江大桥异形双壁钢围堰的构造与分析

介绍了松花江大桥35#墩异形双壁钢围堰的构造,并用ANSYS对其结构进行了分析,得出了该结构的应力和位移分布,依据分析结果,优化了原设计尺寸,对提高产品的强度、刚度及安全性能具有一定的指导意义。     

对于渔船避让的几点见解

阐述了大连——日本航线上经常遇到的渔船种类及作业特点,总结出针对不同种类的渔船在捕捞过程中应采取的必要措施,为以后在该航线上行驶的远洋船舶驾驶人员提供经验借鉴。     

中英思维模式差异对英汉学术论文写作的影响

探讨了中英语篇思维模式差异对英汉学术论文写作中论证方法的影响问题.文章通过分析指出,中英思维模式存在着直觉与抽象、本体与客体和螺旋与直线型差异,并因此导致英汉学术论文中论证方法在修辞手段、引经据典、引用权威等方面的使用差异.文章最后指出,只有了解英汉思维模式的差异,分析其文化成因,才能真正实现跨文化写作的成功.     

渤海湾13000t级大型客滚船首部砰击安全性探讨

在对渤海湾13000t级大型客滚船的船型设计特征进行分析的基础上,运用船模砰击压力测试结果,得出砰击发生在首部舷侧区域的结论。最后采用实船统计衡准评估和砰击强度分析评估2种方法对首部砰击的安全性进行了探讨。     

基于电动出租车数据的充电桩选址聚类方法比较

为有效降低出租车运营企业及经营者的经济成本,通过分析出租车的卫星轨迹数据,比较和选取用于电动出租车充电桩选址规划的聚类方法。以上海市电动出租车充电站的选址规划为研究对象,分别基于孤立森林和聚类算法设计异常值检测方法,对相关时段的出租车卫星数据进行清理以及数据可视化处理;比较层次聚类（Agglomerative Clustering）、高斯混合模型（Gaussian Mixture Model, GMM）、K-means聚类、Mean-Shift聚类以及谱聚类（Spectral Clustering） 5种算法的聚类效果,并选取K-means算法作为充电桩选址规划参考算法。从城市区域划分及企业运营角度确定充电桩选址方案,为未来上海市区电动出租车充电桩的数量和容量配置提供设计依据。     

灰空间的建筑生态相关问题的探讨

从建筑生态的全新视角,拓展了灰空间的基本概念,并将注重生态的建筑灰空间分为功能性灰空间、附属性灰空间、技艺性灰空间3种类型,同时提出与之相对应的合院空间、飘浮空间、双层表皮等多种灰空间生态化的创作手法。     

隆林新洲养护站边坡稳定性分析

文章利用SLOPE／W模块,基于确定值方法和可靠度理论的极限平衡法．对隆林新洲养护站边坡在不采取支挡措施和采用锚索抗滑桩支挡措施情况下,如何保持边坡稳定性进行了对比分析。     

Comparative Analysis of Calculation Methods for Jacking Force of Jacking Pipes北大核心CSCD

Jacking force is the most important parameter in jacking pipe engineering, and reasonable calculation of jacking forces plays an important role in safe and smooth pipe jacking construction. There are many calculation methods for pipe jacking force at present, and the calculation results may be affected to some extent by different cal⁃ culation methods. For this reason, calculation methods of jacking force (frictional resistance) were collected and a comparative analysis was conducted with aspects to the advantages, disadvantages and applicabilities. The results show that as for the jacking force calculated by empirical formulae, the soil layer classifications corresponding to giv⁃ en frictional force per unit area and relevant factors to be considered are different, and the values of frictional force per unit area between pipe and soil in the same soil layer are also different; as for the jacking force calculated by theo⁃ retical formulae, the calculation methods for vertical earth pressure at crown are different and much effected by the pipe buried depth; as for the jacking force calculated by numerical simulation, the selected theories for the simula⁃ tion program and the construction factors to be considered during simulation are different. © 2018, Editorial Office of "Modern Tunnelling Technology". All right reserved.     

道路网短期交通流预测方法比较

介绍了用于短期交通流预测的两大类模型:统计预测算法和人工神经网络模型.对其中各种模型的特征进行了比较,将历史平均模型、求和自回归滑动平均模型(ARIMA)、非参数回归模型、径向基函数(RBF)神经网络模型与贝叶斯组合神经网络模型,应用于一个真实路网的短期流量预测,比较了各模型的预测结果.结果表明,组合神经网络模型预测误差最小,可靠性最高,是一种对短期交通流预测的有效方法.