Data dependent input control for origin–destination demand estimation using observability analysis

In this paper, we address the observability issue of static O–D estimation based on link counts. Unlike most classic observability analyses that relied only on network topological relationships, our analysis incorporates the actual values of input parameters, thus including network operational relations as well. We first analyze possible mathematical properties of an O–D estimation problem with different data input. We then propose a modeling approach based on mixed-integer program for selecting model input that ensures observability and estimation quality. Through establishing a stronger connection between observability analysis and the corresponding estimation problem, the proposed method aims to improve estimation quality while reducing reliance on erroneous data.     

Validating and improving public transport origin–destination estimation algorithm using smart card fare data

Smart card data are increasingly used for transit network planning, passengers’ behaviour analysis and network demand forecasting. Public transport origin–destination (O–D) estimation is a significant product of processing smart card data. In recent years, various O–D estimation methods using the trip-chaining approach have attracted much attention from both researchers and practitioners. However, the validity of these estimation methods has not been extensively investigated. This is mainly because these datasets usually lack data about passengers’ alighting, as passengers are often required to tap their smart cards only when boarding a public transport service. Thus, this paper has two main objectives. First, the paper reports on the implementation and validation of the existing O–D estimation method using the unique smart card dataset of the South-East Queensland public transport network which includes data on both boarding stops and alighting stops. Second, the paper improves the O–D estimation algorithm and empirically examines these improvements, relying on this unique dataset. The evaluation of the last destination assumption of the trip-chaining method shows a significant negative impact on the matching results of the differences between actual boarding/alighting times and the public transport schedules. The proposed changes to the algorithm improve the average distance between the actual and estimated alighting stops, as this distance is reduced from 806 m using the original algorithm to 530 m after applying the suggested improvements.     

Java语言的字符编码问题探讨

由于Java语言的字符集有很多套编码方法,这就使得有相当多的人对Java语言的字符编码方法不易完全掌握.通过查看Java帮助文件及编程实践,在摸清该问题规律的基础上,分析讨论了3种情况下的Java语言字符编码问题,并提出了有实用价值的4点结论.     

高墩大箱室梁墩顶0号段托架的设计与施工技术

介绍了高墩大箱室箱梁墩顶0号段悬托架的设计与施工方法,通过直接在墩身预埋牛腿,在牛腿上安放工字钢大梁和贝雷架分配梁以作为托架支撑,经计算后满足施工需要,从而优化施工方案。     

采油工艺管柱自动导向器

设计了一种新型采油工艺管柱导向器,通过应用该导向器,在作业中实现管柱铰接,可有效解决由套管套变引起的封隔器损坏、失效现象,起到保护封隔器胶筒的作用.并可解决大斜度井、定向井工艺管柱偏磨与导向问题,减少对管柱接箍的损坏及对套管的刮磨破坏,提高其使用寿命.可广泛应用于油水井增产增注工艺管柱上.     

基于正交法的磁性Fe3O4纳米颗粒制备工艺选择

采用化学共沉淀法以FeCl3·6H2O,FeCl2·4H2O为原料,氨水为沉淀剂,进行了9组正交试验,探索制备Fe3O4纳米颗粒磁性能的影响因素,利用振动样品磁强计（VSM）和透射电镜（TEM）对磁粉进行表征,利用正交表极差分析找出了最佳制备工艺条件：即A2B1C3D2,去离子水用量为200 mL（Fe3＋为0.1 mol/L）;表面活性剂用量为1 mL;氨水30 mL;[Fe3＋]/[Fe2＋]=1.75时Fe3O4颗粒饱和磁化强度为62.70 emu/g.     

SiO_2对自蔓延高温合成Al_2O_3-TiB_2复相陶瓷性能的影响

利用自蔓延高温合成技术,用SiO2作添加剂制备出了Al2O3-TiB2复相陶瓷.研究了SiO2含量对自蔓延反应的绝热温度、燃烧速度、反应产物的体积和致密度的影响,并测定了复相陶瓷的抗弯强度和硬度.研究结果表明,Al-TiO2-H3BO3体系的绝热温度是2 588 K,且随SiO2含量的增加而降低;添加SiO2的合成产物中有SiO2和Al6O13Si2相生成;SiO2的加入还降低了反应体系的燃烧速度;当SiO2的添加量在0~20%变化时,复相陶瓷的密度达到1.603 g/cm3,相应的坯体体积变化率为9.25%~9.82%;复相陶瓷的硬度也随着SiO2添加量的增加而增大;在Al-TiO2-H3BO3体系中添加20%的SiO2,可使Al2O3-TiB2的抗弯强度提高2倍.     

故障区段判断和隔离方法

本文简要介绍了配线自动化系统中故障区段判断和隔离方法的基本原理,并论述了该方法的实施步骤。微机综合保护测控装置的直接I/O功能,使得将该方法用于地铁供电系统中成为可能。     

Oracle数据库性能优化技术研究

以Oracle数据库性能优化的基本原则为出发点，阐述在数据库设计阶段如何避免竞争和如何优化数据访问，在数据库运行阶段如何从操作系统和数据库实例级别上调整内存和I／O来达到数据库性能优化的各种技术。     

Windows 2000下智能通信板WDM设备驱动的开发

介绍了WDM设备驱动程序的原理、结构及运行等方面的内容，通过一个智能通信板卡驱动的设计实例讨论了WDM设备驱动程序的开发技术及过程，同时给出了关键例程的分析和注释。