空中列车及大温哥华地区综合交通系统

介绍大温哥华地区的综合交通运输系统TransLink、综合交通枢纽Waterfront及各种不同交通方式的换乘,重点阐述直线电机轨道交通一空中列车系统的基本情况,分析西海岸快速列车、公交汽车、海上巴士及它们与空中列车线路的连接．针对TransLink归纳出我国城市轨道交通值得借鉴的特点。     

直线电机及其在城市轨道交通中的应用

回顾直线电机在世界轨道交通中应用的历史,分析轨道交通系统中几种常用直线电机的特点,介绍加拿大、日本、美国、德国、韩国等国家所采用的直线电机轨道交通系统。     

直线电机轮轨交通系统的环境影响及对策

直线电机轮轨交通系统对环境的影响与传统轮轨系统相比,有较大的差别。从电磁污染、噪声、振动、能耗、视觉效果等方面,分析直线电机轮轨交通系统对环境的影响因素,提出降低环境影响的相关措施。     

A vehicle traveling time prediction method based on grey theory and linear regression analysis

Vehicle traveling time prediction is an important part of the research of intelligent transportation system. By now, there have been various kinds of methods for vehicle traveling time prediction. But few consider both aspects of time and space. In this paper, a vehicle traveling time prediction method based on grey theory (GT) and linear regression analysis (LRA) is presented. In aspects of time, we use the history data sequence of bus speed on a certain road to predict the future bus speed on that road by GT. And in aspects of space, we calculate the traffic affecting factors between various roads by LRA. Using these factors we can predict the vehicle's speed at the lower road if the vehicle's speed at the current road is known. Finally we use time factor and space factor as the weighting factors of the two results predicted by GT and LRA respectively to find the fina0l result, thus calculating the vehicle's travehng time. The method also considers such factors as dwell time, thus making the prediction more accurate.     

线性规划综合运输网络合理规模研究

综合运输网络规模计算是评价现状综合运输网络合理性的重要依据,同时也是拟定规划网络方案的重要基础。从提高区域综合运输网络规模预测的科学性和协调性出发,以费用最省、时间最短、投资最低、环境影响最小为多个决策目标,分别以合理的客货运需求结构和各方式可能的规模为约束条件,建立Fuzzy线性预测模型。通过综合周转量分析方法,将综合运输规模预测问题转化为综合客货运方式结构优化问题,求得本问题模型的多目标折衷最优解。结果表明：在一定的方式结构和规模的限制下,任何区域内都能够确定一种适合本区域的最佳方式规模组合,使得广义成本最小。     

公路交通安全性改进技术研究

在总结国内外现有研究成果和工程经验的基础上,对公路交通安全性改进中涉及的核心技术进行了研究,包括安全问题的诊断程序、安全改进方案的经济效益分析以及安全改进地点和改进方案的选择。结果表明：采用双变量区间过滤法可以方便、快捷地找出安全改进地点;我国事故成本由伤亡成本、车辆损失、路产损失、社会机构损失、交通延误损失等5部分构成,并采用数理统计的方法得到了2006年度平均事故成本为272305元;采用0-1整数规划可以在改善资金受约束的条件下选择经济效益最大化的安全改进地点和改进方案。文章最后给出了应用示例。     

关于结构的可加性扰动的鲁棒极点配置

讨论了ＳＩＭＯ系统和ＭＩＳＯ系统在结构的中加性扰动下实现鲁棒的任意极点配置的充分必要条件,得出了有可能实现鲁棒任意极点配置时控制的阶次。并通过引入循环矩阵的方法将上述结果推广到ＭＭＯ系统,得到了线性多变量系统在结构的可加性扰动下实现鲁棒的任意极点配置的条件。     

线阵声诱饵对抗智能鱼雷尺度识别效果分析

针对智能鱼雷常用的目标尺度识别方法,建立了线阵声诱饵模型.采用边发边收和多点协同应答的方法,模拟尺度目标高频回波.采用方位走向法和视在张角法对该模型进行尺度识别分析,仿真结果证明线阵声诱饵具有尺度目标的方位延展特性,可有效对抗智能鱼雷的尺度识别.     

Non-discriminatory train dispatching in a rail transport market with multiple competing and collaborative train operating companies

Train dispatching is vital for the punctuality of train services, which is critical for a train operating company (TOC) to maintain its competitiveness. Due to the introduction of competition in the railway transport market, the issue of discrimination is attracting more and more attention. This paper focuses on delivering non-discriminatory train dispatching solutions while multiple TOCs are competing in a rail transport market, and investigating impacting factors of the inequity of train dispatching solutions. A mixed integer linear programming (MILP) model is first proposed, in which the inequity of competitors (i.e., trains and TOCs) is formalized by a set of constraints. In order to provide a more flexible framework, a model is further reformulated where the inequity of competitors is formalized as the maximum individual deviation of competitors’ delay cost from average delay cost in the objective function. Complex infrastructure capacity constraints are considered and modelled through a big M-based approach. The proposed models are solved by a standard MILP solver. A set of comprehensive experiments is conducted on a real-world dataset adapted from the Dutch railway network to test the efficiency, effectiveness, and applicability of the proposed models, as well as determine the trade-off between train delays and delay equity.     

基于小波变换和线性判别分析的人脸识别方法

提出了将人脸图像的小波分解和线性判别分析结合以达到人脸识别的方法.首先对人脸图像作小波分解,并将分解后的低频系数进行线性判别分析进一步降低人脸特征向量的维数,最后利用最近邻分类器进行分类识别.实验表明,该方法的正确识别率高于传统的特征脸识别方法.