基于马尔可夫过程的快速路OD矩阵估计方法

为得到城市快速路网络的OD矩阵,引入马尔可夫理论.运用吸收马尔可夫过程对快速路网络进行建模分析,给出相应求解算法推导路段流量,小区OD矩阵表达式,并介绍了运用MATLAB软件进行矩阵求解的方法.最后进行了算例分析,利用VISSIM仿真,通过布设线圈检测器,对OD矩阵估计模型及算法进行精度评价.结果显示,模型可很好地拟合...     

基于FAHP-模糊层次分析法的港口综合竞争力评价

港口的综合指标及吞吐货物的集疏运能力是反映港口竞争力的重要表现。借助于模糊层次分析法,以构建港口竞争力评价方法,为港口客观恰当了解和评价自身竞争力及相对水平提供了参考价值,港口可以以此作为分析和寻找自身薄弱环节的措施,有针对性地进行改进。结合实例对方法的有效性和实用性进行验证。     

土的应力应变关系中柔度矩阵的研究

在土的应力应变关系中,柔度矩阵要求主对角线元素为正且主对角线元素占优,对主应力表示的柔度矩阵进行了研究,证明了这两个条件同时满足时柔度矩阵的行列式必大于0.因而,柔度矩阵的行列式是否大于0可以作为评价土的本构模型合理性的一个方法.通过对传统弹塑性模型塑性柔度矩阵的研究,发现传统弹塑性模型的塑性柔度矩阵行列式等于0,不能...     

Vehicle sensor data-based analysis on the driving style differences between operating indoor simulator and on-road instrumented vehicle

Abstract

Indoor simulator and on-road instrumented vehicle are the most popular ways to analyze driving behaviors by using collected Vehicle Sensor Data (VSD). However, for a same driver, the driving performance could be different in the real world and in the simulated world. Even though many studies have been conducted to discover the differences of driving behaviors in these two circumstances, little research has focused on analyzing the differences in driving style, which can provide more integrated knowledge of a driver from the natural structure, stimulus–response mechanism, of driving behaviors. Therefore, in this paper, the driving styles in both the real world and the simulated world are extracted by implementing the nonnegative matrix factorization method on the collected VSD data. Through this analysis, the driving style differences can be quantitatively described and discussed in detail. It is found that the drivers tend to be more unstable and sometimes aggressive when driving the simulator and the deviation in the perception of temporal gap in two circumstances is also discovered. The research findings are particularly valuable to calibrate the driving simulator and construct more reliable driving behavior models.     

Non-fragile multi-objective static output feedback control of vehicle active suspension with time-delay

This paper presents an approach to design a delay-dependent non-fragile H_∞/L₂–L_∞ static output feedback (SOF) controller for active suspension with input time-delay. The control problem of quarter-car active suspension with actuator time-delay is formulated to a H_∞/L₂–L_∞ control problem. By employing a delay-dependent Lyapunov function, new existence conditions of delay-dependent non-fragile SOF H_∞ controller and L₂–L_∞ controller are derived, respectively, in terms of the feasibility of bilinear matrix inequalities (BMIs). Then, a procedure based on linear matrix inequality optimisation and a hybrid algorithm of the particle swarm optimisation and differential evolution is used to solve an optimisation problem with BMI constraints. Design and simulation results of non-fragile H_∞/L₂–L_∞ controller for active suspension show that the designed controller not only can achieve the optimal performance and stability of the closed-loop system in spite of the existence of the actuator time-delay, but also has significantly improved the non-fragility characteristics over controller perturbations.     

A theoretical foundation for the relationship between generalized origin–destination matrix and flow matrix based on ordinal graph trajectories

This paper shows the relationship between flow, generalized origin–destination (OD), and alternative route flow from a set of ordinal graph trajectories. In contrast to traffic assignment methods that employ OD matrix to produce flow matrix, we use ordinal trajectory on a network graph as input and produce both the generalized OD matrix and the flow matrix, with the alternative and substitute route flow matrices as additional outputs. By using linear algebra‐like operations on matrix sets, the relationship between network utilization (in terms of flow, generalized OD, alternative route flow, and desire line) and network structure (in terms of distance matrix and adjacency matrix) are derived. Copyright © 2012 John Wiley & Sons, Ltd.     

探讨模拟数学在学术论文搞质量综合评价中的应用

首先提出，目前仍采用三审制，以语言设计院评价学术文稿质量，其结果模糊，缺乏量化、缺乏稿件之间的可比性，还受到评价人人为因素的影响，有失公正性，探讨应用模糊数学方法评价论文稿质量的可行性，介绍同属模糊数学范畴的方法一和方法二的运用过程，并将运用两方法的结果作比较，提出：方法二的基本内容是主因素决定型的数学模型M（∧，∨），其运用结果仍显模糊，缺乏准确性；方法一简单，实用，结果直观，因为其运用过程中采用了以百分数表达的单因素评价矩阵与几项权重向量的合成运算，运用方法一，可促进编辑部审稿工作的程式化，标准化、自动化。     

关于一类二阶共轭矩阵方程的解

考虑一类二阶共轭矩阵方程 B*X*AXB+B*X*C+C*XB+D=O 其中，B∈Cp×m，A∈n×n，C∈Cn×m，D∈Cm×m，在A＞O及A≥O，C或B为列满秩阵两种情况 下，此方程可解的充分必要条件，并在有解的情况下，给出了通解的显式表示。     

基于图论与故障树结合的控制系统故障诊断

探讨了一种图论与故障树结合的方法，可用于复杂控制系统的故障诊断，主要采用故障树图论模型的算法实现系统的故障诊断。图论（有向图）可直观反映故障传播关系，把故障节点分层，用矩阵表示节点与顶事件的关系，通过矩阵运算出各层节点到顶事件的通路长度，通过底事件的失效率算出各节点关键重要度，确定每条通路的权值，进而确定每一层故障节点的排查次序。矩阵表示便于计算机处理，避开了寻找故障树割集或路集的困难，提高了诊断效率。