一类时滞Hopfield神经网络系统的全局稳定性

研究一类时滞Hopfield神经网络系统的平衡状态的存在性与全局稳定性,这类系统放弃了以前对激活函数的可微性与单调性要求。利用M矩阵理论,通过构造适当的Liapunov泛函,得到了系统全局渐近稳定的充分条件,改进了以前的相关结论。     

一种评定摆式列车回复安全性的方法

提出了采用摆式列车倾摆机构的回复刚度来评定摆式列车的回复安全性的方法。回复角刚度表述了在倾摆过程中倾摆机构失去动力时,车体回复中位的稳定性。当回复角刚度为正时,车体可在重力作用下回复到中位;为负时则不能回复到中位;为零时处于临界状态。可以把回复角刚度作为衡量车辆回复安全性的指标。     

小垂度粘弹性索动力稳定性

基于Revlon材料本构定律及索的运动方程导出了用模态坐标表示的受周期轴力的粘弹性索系统方程。使用分离变量法得到用模态坐标表示的线性周期系数常微分方程,给出了粘弹性索在周期轴力下的动力稳定性条件。数值结果给出了索在不同垂度比下的稳定域与不稳定域。     

长大曲线路堤边坡稳定性分析

阐述曲线外侧路堤边坡沿路肩失稳,以及沿道心和路肩一侧滑坡的现象,分析列车作均速曲线运动产生的横向力,包括未被平离心力,导向力的作用,以及地表水、地下水对路基稳定性的,影响,列举一例做抗滑稳定性检算。     

跟车模型及其稳定性分析综述

交通流的仿真是以车辆的行为作为研究对象,最终达到模拟不同条件下交通流的目的. 跟车模型是文通流仿真中采用的一个基本模型.综述了跟车模型的发展过程,介绍了不同的模 型及各种稳定性的分析方法,同时对该方向的研究与最新进展进行了分析和展望.     

车辆协同巡航控制系统设计改进与试验评价

为提高交通流运行的机动性、稳定性,对车辆协同巡航控制(CACC)系统进行了改进设计. 基于经典Newell 模型提出了考虑CACC的改进跟驰模型,分析了所提出的CACC改进跟驰模型的动力学特性,给出了CACC改进跟驰模型的线性稳定性条件,并对由CACC车辆和非CACC车辆组成的非均匀车队的不同无线通讯拓扑结构进行了比较研究. 通过数值试验进一步研究了在起步、刹车和意外事件的情况下,CACC车辆的存在对交通流动力学的影响. 研究结果表明,通过合理设计CACC跟驰系统的模型参数取值后,CACC车辆的存在一方面可以提高交通流运行的机动性与稳定性,另一方面可以使交通出行更加的安全和舒适. 此外,由于不同车队中CACC车辆的无线通讯拓扑结构会影响交通流的机动性与稳定性,对于 CACC车辆的无线通讯拓扑结构应慎重的设计与优化.     

高速公路溶洞路基稳定性分析与处治研究

针对某高速公路路基下伏溶洞情况,提出了有效的溶洞处理措施,对下伏溶洞处理前后的路基稳定性进行了数值模拟计算,并将计算结果与现场监测数据进行了对比分析,验证了数值计算的准确性,得到一些有用的结论,对同类地质条件下的溶洞路基稳定性分析有一定的参考作用。     

千枚岩地区的加筋土挡墙施工

加筋土挡墙是一种利用土工合成材料与填料共同作用稳定路堤边坡的一种挡护结构,具有占地少、结构稳定、形式美观等特点。但是这种结构对填料要求严格,填料一般应为均质的土质填料,对千枚岩填料适应性较差。通过徽杭高速公路第十六合同段的施工,总结了千枚岩地区加筋土挡墙的施工工艺,对挡墙稳定性进行了检算,并提出有关结论。     

An integrated framework for assessing service efficiency and stability of rail transit systems

A well-designed service plan efficiently utilizes its infrastructure and ensures an acceptable level of service stability with consideration of potential incidents that disturb or disrupt the rail transit services. To perform service evaluation, an integrated process combining capacity, resource usage, and system reliability is required to quantify service efficiency and stability in a consistent way. This study adopts capacity-based indices, “capacity utilization” and “expected recovery time”, as the attributes for service efficiency and stability, and develops a comprehensive evaluation framework with three corresponding modules to incorporate capacity, service plan, and system reliability and maintainability simultaneously. The capacity analysis module computes the rail transit capacities under normal and degraded operations. The reliability module classifies and fits the proper reliability and maintainability distributions to the historical interruption data. The service efficiency and stability module analyzes the results of the previous two modules and evaluates the service efficiency and stability of rail transit service plans. Empirical results show that the established evaluation framework can not only evaluate the service efficiency and stability but also identify critical sections and time slots. This tool can help rail transit operators rapidly assess their operational changes and investment strategies related to efficiency and stability so as to provide efficient and stable services to their customers.     

Infrastructure assisted adaptive driving to stabilise heterogeneous vehicle strings

Literature has shown potentials of Connected/Cooperative Automated Vehicles (CAVs) in improving highway operations, especially on roadway capacity and flow stability. However, benefits were also shown to be negligible at low market penetration rates. This work develops a novel adaptive driving strategy for CAVs to stabilise heterogeneous vehicle strings by controlling one CAV under vehicle-to-infrastructure (V2I) communications. Assumed is a roadside system with V2I communications, which receives control parameters of the CAV in the string and estimates parameters imperfectly of non-connected automated vehicles. It determines the adaptive control parameters (e.g. desired time gap and feedback gains) of the CAV if a downstream disturbance is identified and sends them to the CAV. The CAV changes its behaviour based on the adaptive parameters commanded by the roadside system to suppress the disturbance.The proposed adaptive driving strategy is based on string stability analysis of heterogeneous vehicle strings. To this end, linearised vehicle dynamics model and control law are used in the controller parametrisation and Laplace transform of the speed and gap error dynamics in time domain to frequency domain enables the determination of sufficient string stability criteria of heterogeneous strings. The analytical string stability conditions give new insights into automated vehicular string stability properties in relation to the system properties of time delays and controller design parameters of feedback gains and desired time gap. It further allows the quantification of a stability margin, which is subsequently used to adapt the feedback control gains and desired time gap of the CAV to suppress the amplification of gap and speed errors through the string.Analytical results are verified via systematic simulation of both homogeneous and heterogeneous strings. Simulation demonstrates the predictive power of the analytical string stability conditions. The performance of the adaptive driving strategy under V2I cooperation is tested in simulation. Results show that even the estimation of control parameters of non-connected automated vehicles are imperfect and there is mismatch between the model used in analytical derivation and that in simulation, the proposed adaptive driving strategy suppresses disturbances in a wide range of situations.