运用矩阵结构分析法进行军交运输快速反应能力量化评估

军交运输快速反应能力的影响因素较多,定量评估较为困难.介绍了矩阵结掏分析法基本原理,探讨了影响军交运输快速反应能力的有关因素,在此基础上,运用矩阵结构分析法对军交运输快速反应能力进行了量化评估,以求为军交运输训练、建设、管理和决策提供科学准确的参考依据.     

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...     

铁路缓和曲线代数式方程的通用设计方法

根据铁路缓和曲线的特点,介绍了利用缓和曲线边界条件确定其代数方程式的一种通用方法：首先给出缓和曲线要满足的边界条件,根据边界条件列出曲率待定方程;然后利用曲率边界条件确定出缓和曲线曲率方程;最后通过对曲率方程进行二次积分就可得到缓和曲线的方程。采用这种方法分别对各种类型的缓和曲线举出实例,详细说明了该方法的应用,证明了该方法正确、简单,是一种适用于推导缓和曲线方程的通用方法,可为铁路缓和曲线线型设计提供参考。     

改扩建公路超高设计中若干问题的探讨

超高设计是道路曲线路段的重要设计内容,也是行车安全性和舒适性的重要影响因素,在高等级公路改扩建应用中尤为重要。基于S226省道温岭岙环至玉环龙溪段拓宽改造项目,结合JTG D20—2017《公路路线设计规范》道路超高设计的相关规定,针对改扩建公路中分离式路基超高线形设计方法、S型曲线超高设置、曲线内构造物超高验算以及老路路拱过渡等特殊超高问题,提出新老路间的差异平稳过渡方案,借以探讨改扩建公路超高设计的思路和方法。     

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.