上海轨道交通高架桥U形梁的技术特点

根据上海轨道交通应用U形梁的工程实践及相关试验研究,对U形梁设计的标准及特点进行了分析探讨。工程实践表明,U形梁结构是非常适合城市轨道交通的一种桥梁结构,能满足安全、实用、经济、美观、环保、耐久的结构设计目标。     

成都的城市景观——传统与未来

~~成都的城市景观——传统与未来@郑小明$成都市规划设计研究院!四川成都610015~~~~     

基于信息融合的发动机全系统故障诊断研究

针对传统发动机故障诊断的不足,利用多传感器信息融合技术可以提高故障诊断精度的特点,将多传感器信息融合技术引入发动机故障诊断,提出了基于多传感器信息融合的发动机全系统故障诊断策略。     

挤密砂桩加固软弱地基的承载性能研究

本文针对淮安地区高速公路软弱地基的工程实例,进行了砂桩复合地基承载性能的理论计算分析,并将理论计算结果与实测结果进行对比,两者结果基本一致。同时从复合地基理论与砂桩单桩承载力计算理论的角度分析影响复合地基承载力的影响因素。     

汽车传动系统机械故障诊断方法的研究

本文针对汽车传动系统主要零部件的特点，研究了基于振动信号的故障诊断方法，包括特征提取、模式分类和诊断决策全过程。     

舰艇编队信息融合中模糊C-均值算法改进研究

在分析舰艇编队信息处理融合的基础上,提出舰艇编队信息融合体系结构、模型和实现框架。针对原C-均值算法在处理数据时的不合理性,提出了改进的模拟C-均值算法,提高分类效果,满足信息融合的实时要求和可靠性要求。     

Modeling real-time human mobility based on mobile phone and transportation data fusion

Even though a variety of human mobility models have been recently developed, models that can capture real-time human mobility of urban populations in a sustainable and economical manner are still lacking. Here, we propose a novel human mobility model that combines the advantages of mobile phone signaling data (i.e., comprehensive penetration in a population) and urban transportation data (i.e., continuous collection and high accuracy). Using the proposed human mobility model, travel demands during each 1-h time window were estimated for the city of Shenzhen, China. Significantly, the estimated travel demands not only preserved the distribution of travel demands, but also captured real-time bursts of mobility fluxes during large crowding events. Finally, based on the proposed human mobility model, a predictive model is deployed to predict crowd gatherings that usually cause severe traffic jams.     

基于多源数据的公交车能耗碳排放测算模型

公交车能耗碳排放强度与车辆、线路和驾驶员有显著相关关系，为精准刻画其能耗碳排放强度特征，整合OBD监测数据、加油(气)数据、运营排班数据等多源数据资源. OBD监测数据和加油(气)数据呈显著的线性关系，证明修正后的OBD监测数据可满足分析要求. 搭建“速度-能耗碳排放强度曲线”测算模型，幂函数关系的拟合优度R2 =0.972 6 为最高. 实证研究发现，平均速度在10~60 km/h 变化时，液化天然气(LNG)车比柴油车能耗碳排放强度高 3.3%~33.7%，双层车比铰接车高2.4%~13.3%；LNG铰接车在不同线路、相同速度下的强度相差9.6%；不同驾驶员在相同线路的能耗碳排放强度可相差24.2%. 模型为各城市基于多源数据开展公交能耗碳排放目标设定提供数据支撑.     

VTS中雷达信息与AIS信息融合的探讨

文章对VTS中雷达信息与AIS信息的来源、种类与特点进行了比较,论证了两者信息融合的可行性与必要性,同时给出了信息的融合模型与方法,也提出信息融合需要进一步解决的问题.     

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.