Modeling effects of different air traffic control operational procedures,separation rules,and service disciplines on runway landing capacity

This paper deals with modeling the possible effects of different advanced procedures, existing, innovative, and new air traffic control (ATC) separation rules, and service disciplines on the ultimate landing capacity of a single runway. The first implies a combination and/or exclusive use of conventional and steeper final approach and landing procedures. The second includes the current horizontal, innovative mixed horizontal/vertical and new vertical distance‐based and time‐based separation rules. The last embrace the common First Come, First Served and innovative Priority service discipline. Such increasingly complex and challenging applications are assumed to be based on the new technologies on‐board the aircraft and at the ATC to be developed in the scope of the current United States Next Generation Air Transport System and European Single European Sky ATM Research programs. The convenient analytical models for calculating the runway landing capacity are developed and applied to the generic case of a single runway according to the “what–if” scenario approach. This enables carrying out the sensitivity analysis of the landing capacity with respect to the most influential factors – the ATC advanced operational procedures, separation rules, service disciplines, and aircraft fleet mix. Copyright © 2013 John Wiley & Sons, Ltd.     

基于矩阵的多段支持度关联规则挖掘算法

为有效提高关联规则挖掘算法效率,提出了一种基于矩阵的多段支持度关联规则挖掘算法,该算法通过一次数据库扫描将事务数据存放在矩阵中,利用矩阵进行支持度的计算和频繁集的寻找,同时将项集支持度分段计算的思想应用其中,减少候选集生成,实验表明,算法效率得到了较大提高。     

CRH3型动车组故障诊断代码编码规则研究

在分析研究CRH3型动车组普遍采用的故障诊断代码编码规则的基础上,对其编码规则进行了改进,并提出了新的故障诊断代码编码规则：“四位故障编码规则”和“五位故障编码规则”.通过对比分析,讨论了故障诊断编码规则各自的优缺点,最终提出：新四位故障诊断代码编码规则具有“采用了《通知》规定的系统划分方法,扩充了故障等级编码的取值,保证每个子系统都有足够的故障诊断代码”等优点,故建议在CRH3型动车组故障诊断系统中采用.     

国内航行入级海船及其规范体系发展分析

摘要：阐述了国内航行入级海船的现状和发展趋势,针对国内航行船舶船型大型化趋势,指出了CCS修订的国内航行入级海船规范和法规适应CSAD海船发展的修订特点,分析了其适应性、覆盖面和合理性,并对规范、法规未来发展提出了建议。     

基于 Apriori 算法的海事事故中人为失误致因分析

海事事故主要是由人为失误引发的,人为失误又受个人因素、环境因素、船舶因素以及组织因素的影响。一般统计方法只能够初步识别引发海洋事故的人为失误行为,想要进一步建立人为失误和影响因素之间的关系比较困难。利用了数据挖掘中的关联规则技术建立模型,对人为失误与导致因素之间的关系进行分析。以国内外100份海事事故调查报告作为对象,研究出人为失误和环境因素之间的关系。实践表明,人为因素和环境因素是导致海事事故发生的重要因素。      

环保主体互动法制保障论

法律对于环保事业主体良性互动关系的保障程度,是衡量一个国家的环保事业和环境法制发展水平的重要指标。本文结合《环保法》修订研究工作的成果,提出并论述"环保主体互动关系"概念和"环保主体互动等边三角形模型"的研究方法,介绍外国在环保主体互动关系方面的经验和教训,论述环保事业中的管制和监督两类互动关系的理由和原理,就完善法律对于环保主体互动关系的保障提出了比较系统的制度设计。     

Support vector machine-based fuzzy rules acquisition system

This paper proposes a support vector machine-based fuzzy rules acquisition system (SVM-FRAS). The character of SVM in extracting support vector provides a mechanism to extract fuzzy If-Then rules from the training data set. We construct the fuzzy inference system using fuzzy basis function (FBF). The gradient technique is used to tune the fuzzy rules and the inference system. Theoretical analysis and comparative tests are performed comparing with other fuzzy systems. Experimental results show the SVM-FRAS model possesses good generalization capability as well as high comprehensibility.     

基于智能体模拟的浮动式停车价格实施效果研究

在城市机动车保有量快速增长的背景下,制定合理的停车价格对缓解停车难问题具有重要的作用. 基于多智能体的建模方法,结合典型城市商业区停车调查数据搭建仿真环境,通过编程实现停车过程中的行为决策规则,建立浮动式停车价格下的路内停车模拟平台,并对浮动式停车价格的实施效果进行研究. 模拟结果表明,浮动式停车价格策略的实施不仅使路内停车资源的利用更为均衡,区域内车位紧张状况有所缓解,停车寻泊时间有所减少,还提高了周边道路上车辆运行速度. 本研究可以为提高停车效率、缓解区域道路交通拥堵提供一定决策建议.     

浅析加快人才培养对中国监理行业发展的重要性

通过对WTO基本原则的分析,结合我国监理行业的现状,针对入世后我国监理市场可能面临的问题及新形势下对人才提出的更高要求进行初步探讨,提出要使企业全体人员真正实现团队作战的优势,在市场竞争中做出最快速的反应,加快人才培养是监理行业发展的当务之急.     

Recognizing metro-bus transfers from smart card data

Transfer points between metro and bus services remain an elusive, yet critical junction for transportation practitioners. Based on massive Smart Card (SC) data, previous studies apply a one-size-fits-all criterion to discriminate between transfers. However, this is not sufficiently convincing for different transfer pairs. To counter this problem, this study applies an association rules algorithm and cluster analysis to recognize metro-to-bus transfers using SC data, and demonstrates transfer recognition in a case study based on SC data collected during a week in Nanjing, China. It is shown that 85% of the transfer-recognition results are quite stable through the whole week, and the median transfer time between metro and bus is below 20?min. The method proposed in this study can be used to identify the busiest transfer points and to obtain average transfer times, which facilitates a smarter and more efficient public transit network.