基于GIS的区域道路交通安全管理系统研究

基于GIS的道路交通安全管理系统是将GIS、道路信息、交通事故信息及各类处置模型相集成的一个有机的整体。该整体利用GIS的可视性、空间分析能力和交通事故信息及相关资料的连续性、系统性通过相关的处置模型实现对系统所辖区域内各小区的道路安全水平的综合评价、预测,提出相应的区域道路网安全水平改善对策,从而达到提高整个区域道路网安全水平的目的。本文研究了基于GIS的道路安全管理系统的主要功能和对应于各功能的模块组成,提出了系统的建立程序。     

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.     

Formal scientific research of traffic collision data utilizing GIS

This paper explores the tenuous link between speeding behavior and accident causation, one that has not been well established in the international literature to date. Taking advantage of established engineering conventions and formulae, we were able to set up an a priori hypothesis suitable for testing. Utilizing this formal scientific method (which GIS researchers have been criticised for not using) we establish a statistical link for this relationship. Our methodology can be used to support all police intervention strategies, including the controversial photo radar systems. The results from our research have been entered into a GIS in order to create a map for spatial display. This map illustrates the relative probability or risk of collision occurrence resulting from speeding at all intersections and interchanges within the scope of the study. It is suggested that this methodology could easily be maintained with periodic updates of data, thus creating a dynamic model from which to monitor traffic safety within the city. Furthermore, this model can be utilized to study specific strategies, allowing for the scrutiny of before, during and after effects. The study area is the entire city of Calgary, Alberta, Canada, and includes all traffic collisions occurring during the year of 1994.     

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.     

北京市商业区可达性研究

为建立商业区可达性计算方法,并为未来商业区的选址、设计提供参考,选取北京市较为典型的5个商业区为研究对象,对商业区的特点进行了分析。从理论上探讨了计算商业区可达性包含的4个因素：土地利用、交通系统、时间因素以及个体因素。借鉴潜能模型,提出了可达性理论模型,并给出具体的可达性计算公式。以北京市5个商业区中18个大中型商场为例,计算可达性以及各区域到达这些商业区的可达性分布。     

NT4-Ant-Shepherdin[79-87]融合基因重组载体的构建

目的设计构建携带NT4-Ant-Shepherdin[79-87]的cDNA融合基因的重组载体,为针对Survivin的靶向治疗奠定基础。方法应用非对称引物/模板法、PCR技术制备NT4-Ant-Shepherdin[79-87]cDNA片断,连接于pGEM-T-Easy载体,经克隆测序、酶切后与PBV220/NT4质粒连接;转化感受态细胞E.coliDH5α,亚克隆获得NT4-Ant-Shepherdin[79-87]融合基因。结果克隆出Ant-Shepherdin[79-87]基因,经酶切及测序证实结果正确;连接PBV220/NT4,经克隆、酶切,琼脂糖凝胶电泳证实获得321bp的NT4-Ant-Shepherdin[79-87]目的基因片断。结论通过分子生物学技术成功构建了携带NT4-Ant-Shepherdin[79-87]融合基因的重组载体,为进一步研究针对Survivin的靶向抗肿瘤作用奠定了基础。