Human driving data-based design of a vehicle adaptive cruise control algorithm

This paper presents a vehicle adaptive cruise control algorithm design with human factors considerations. Adaptive cruise control (ACC) systems should be acceptable to drivers. In order to be acceptable to drivers, the ACC systems need to be designed based on the analysis of human driver driving behaviour. Manual driving characteristics are investigated using real-world driving test data. The goal of the control algorithm is to achieve naturalistic behaviour of the controlled vehicle that would feel natural to the human driver in normal driving situations and to achieve safe vehicle behaviour in severe braking situations in which large decelerations are necessary. A non-dimensional warning index and inverse time-to-collision are used to evaluate driving situations. A confusion matrix method based on natural driving data sets was used to tune control parameters in the proposed ACC system. Using a simulation and a validated vehicle simulator, vehicle following characteristics of the controlled vehicle are compared with real-world manual driving radar sensor data. It is shown that the proposed control strategy can provide with natural following performance similar to human manual driving in both high speed driving and low speed stop-and-go situations and can prevent the vehicle-to-vehicle distance from dropping to an unsafe level in a variety of driving conditions.     

Railway wheel-flat and rail surface defect modelling and analysis by time–frequency techniques

Damage to the surface of railway wheels and rails commonly occurs in most railways. If not detected, it can result in the rapid deterioration and possible failure of rolling stock and infrastructure components causing higher maintenance costs. This paper presents an investigation into the modelling and simulation of wheel-flat and rail surface defects. A simplified mathematical model was developed and a series of experiments were carried out on a roller rig. The time–frequency analysis is a useful tool for identifying the content of a signal in the frequency domain without losing information about its time domain characteristics. Because of this, it is widely used for dynamic system analysis and condition monitoring and has been used in this paper for the detection of wheel flats and rail surface defects. Three commonly used time–frequency analysis techniques: Short-Time Fourier Transform, Wigner–Ville transform and wavelet transform were investigated in this work.     

北汽EV160纯电动汽车驱动系统异响故障诊断与排除

从故障现象原因入手,根据先外后内、先简后繁原则,对故障进行由外到内,先易到难的检查,然后依据厂家提供的数据参数,运用专用检测设备,对电机内部进行精确测量,通过数据对比分析,最终确定故障根源。     

基于Synchro的多交叉口交通信号控制研究

分析了城市道路交叉口的平均延误时间、道路通行能力和信号配时的数学模型和计算方法。在对宝鸡市的22个主要信控交叉口进行了大量的交通调研的基础上，选取了有代表性的太白路、公园路上多个交叉口作为协调控制交叉口，阐述了交叉口信号协调控制系统的设计方法。最后通过公式计算和Synchro系统仿真的两种方法，对线控前后的系统进行了对比，结果表明宝鸡市受控干道交叉口的延误和通行能力得到了明显的改善。     

声波透射法检测基桩完整性的影响因素

在介绍声波透射法测试的基本原理基础之上,对声波透射法检测中扶正器和声测管管径导致的声时波动进行了分析,并提出可以将声测管作为钢筋笼的一部分在桩基的整体结构中发挥作用。     

二层线性规划问题

罚函数方法是数学规划中一种常见且有效的求解方法。用罚函数原理,把二层线性规划（BLP）下层问题的对偶间隙作为惩罚项,将BLP转化为带罚函数子项的有限个线性规划问题。由于BLP的全局最优解可在约束域S的极点上找到,利用线性规划对偶理论,给出了一种求解该二层线性规划的罚函数算法。     

废水处理用等离子体窄脉冲电源的研制

主要论述了一种气体放电等离子体窄脉冲电源装置的构成及工作性能;尤其对自行研制的核心部件八电极旋转火花隙开关（RSGS）的大小,尺寸结构进行了说明．分析了电源主电路工作原理,对电路的动态工作进行数学建模和解析求解,为电源设计和元件参数选取提供了依据．通过此套电源所产生出的高压脉冲波形,具有上升沿小于100BS,脉宽不大于1μs,脉冲频率可调,脉冲功率大等特点．通过实验表明,该电源应用于产生等离子体进行废水净化等领域,具有良好的降解效果．     

结构随机振动有限元/边界元法声学数值仿真

建立了结构振动的有限元模型和声学分析的边界元模型,基于边界元法推导了声学响应函数的计算公式,利用声学响应函数和激励谱密度推导了设计域点响应声压的自谱密度函数.以平板稳态振动声辐射为研究算例,计算了1~200 Hz的声学频率响应函数,并计算了系统受常谱密度和变谱密度随机载荷激励的声学响应.理论推导和实例结果表明,基于边界元法的声学响应函数可有效的求解随机声场.     

可穿越间隙理论求解二相位交叉口通行能力

本文在细致分析二相位交叉口车流运行特征的基础上,提出根据可穿越间隙理论与方法求解二相位交叉口的通行能力的方法。假定直行车流的车头时距服从一定的概率分布,据此计算对向左转车的最大可能穿越车数,得出左转车道的通行能力、二相位交叉口的通行能力,并运用上述结果对二相位控制的交叉口的交通运行质量进行评价,确定二相位交叉口的适用条件,为两相位控制向多相位控制的升级提供依据．     

高速公路交通噪声污染分析及防治

本文对高速公路噪声污染源进行了分析,并对高速公路声屏障的设计流程、减噪目标、结构形式、建造要求等进行了系统地阐述.