Estimation of delay variability at signalized intersections for urban arterial performance evaluation

Urban arterial performance evaluation has been broadly studied, with the major focus on average travel time estimation. However, in view of the stochastic nature of interrupted flow, the ability to capture the characteristics of travel time variability has become a critical step in determining arterial level of service (LOS). This article first presents a stochastic approach that integrates classic cumulative curves and probability theories in order to investigate delay variability at signalized intersections, as a dominant part of the link travel time variability. This serves as a basis for arterial travel time estimation, which can be obtained through a convolution of individual link travel time distributions. The proposed approach is then applied in the estimation of travel time along one arterial in Shanghai, China, with abundant automatic vehicle identification (AVI) data sources. The travel time variability is evaluated thoroughly at 30-min intervals, with promising results achieved in comparison to the field measurements. In addition, the estimated travel time distributions are utilized to illustrate the probability of multiple LOS ranges, namely, reliability LOS. The results provide insights into how we might achieve a more reliable and informative understanding of arterial performance.     

Modelling,simulation and applications of longitudinal train dynamics

ABSTRACT

Significant developments in longitudinal train simulation and an overview of the approaches to train models and modelling vehicle force inputs are firstly presented. The most important modelling task, that of the wagon connection, consisting of energy absorption devices such as draft gears and buffers, draw gear stiffness, coupler slack and structural stiffness is then presented. Detailed attention is given to the modelling approaches for friction wedge damped and polymer draft gears. A significant issue in longitudinal train dynamics is the modelling and calculation of the input forces – the co-dimensional problem. The need to push traction performances higher has led to research and improvement in the accuracy of traction modelling which is discussed. A co-simulation method that combines longitudinal train simulation, locomotive traction control and locomotive vehicle dynamics is presented. The modelling of other forces, braking propulsion resistance, curve drag and grade forces are also discussed. As extensions to conventional longitudinal train dynamics, lateral forces and coupler impacts are examined in regards to interaction with wagon lateral and vertical dynamics. Various applications of longitudinal train dynamics are then presented. As an alternative to the tradition single wagon mass approach to longitudinal train dynamics, an example incorporating fully detailed wagon dynamics is presented for a crash analysis problem. Further applications of starting traction, air braking, distributed power, energy analysis and tippler operation are also presented.     

A signal-based fault detection and classification method for heavy haul wagons

This paper proposes a signal-based fault detection and isolation (FDI) system for heavy haul wagons considering the special requirements of low cost and robustness. The sensor network of the proposed system consists of just two accelerometers mounted on the front left and rear right of the carbody. Seven fault indicators (FIs) are proposed based on the cross-correlation analyses of the sensor-collected acceleration signals. Bolster spring fault conditions are focused on in this paper, including two different levels (small faults and moderate faults) and two locations (faults in the left and right bolster springs of the first bogie). A fully detailed dynamic model of a typical 40t axle load heavy haul wagon is developed to evaluate the deterioration of dynamic behaviour under proposed fault conditions and demonstrate the detectability of the proposed FDI method. Even though the fault conditions considered in this paper did not deteriorate the wagon dynamic behaviour dramatically, the proposed FIs show great sensitivity to the bolster spring faults. The most effective and efficient FIs are chosen for fault detection and classification. Analysis results indicate that it is possible to detect changes in bolster stiffness of ±25% and identify the fault location.     

兔眼环孢霉素A缓释微球的眼内释药性研究

目的建立兔眼房水中环孢霉素A缓释微球的高效液相测定方法,考察在不同给药剂量下兔眼房水中的药物代谢特性,为该药预防后发性白内障提供理论依据。方法兔眼行晶体囊外摘除,左眼前房及囊袋内注射环孢素微球,右眼给予空白微球作对照,采用高效液相色谱法监测给药后4周内兔眼房水中环孢霉素A的浓度。色谱柱为反相C18硅胶柱,柱温为60℃,流动相为乙腈-水(67∶33),检测波长210nm。结果兔眼房水中环孢霉素A的浓度在0.13-1.25mg/L范围内呈良好线性关系(r=0.9951),最低检测浓度0.13mg/L,回收率95.91%,日间和日内精密度均小于5.0%。缓释微球的释药速率适中,兔眼前房给药后可在2周内维持较高浓度,高低两种给药剂量下,环孢霉素A的吸收半衰期(t1/2Ka)和血浆清除速率(CL)经检验无统计学差异,药时曲线下面积(AUC)和峰浓度(Cmax)与剂量之间线性相关。结论环孢素A缓释微球在兔眼内有较高的生物利用度,实验期内可达到抑制后发性白内障的有效浓度。     

超大型预制桥墩吊装过程数值计算

以某跨海工程超大型预制桥墩吊装方案为例,基于有限元分析软件ANSYS建立超大型预制桥墩的数值模型,施加重力场模拟吊装过程,得到了吊装过程中桥墩的受力状态,评定了吊装方案的优劣。针对吊装过程中桥墩及吊装件较危险的受力区域进行分析,提出了优化建议。     

动力总成悬置支架多目标拓扑优化和强度分析

基于Optistruct,以支架的最小柔度、最大固有频率作为优化目标函数;以应力、体积作为约束函数,对一发动机后拉杆安装支架进行拓扑优化,优化结果表明:在满足悬置支架强度和模态要求下,质量减少了12%。     

第三系富水粉细砂VI级围岩隧道浅埋下穿水库施工技术

兰渝铁路胡麻岭隧道5#斜井正洞段落遇到第三系富水粉细砂地层浅埋下穿水库施工,因而隧道塌方、变形、突水涌泥风险高。施工中采用地表旋喷桩固结隧道洞身围岩,辅以综合降水、双液浆局部加固、CRD交叉中隔壁法开挖等措施,并配以严密的内外监测技术,安全顺利通过此段落。     

基于Simulink的幅压并励直流电动机运行特性仿真

分析了并励直流电动机的等效电路及数学模型,并通过MATLAB中的Simulink功能对某型船用直流幅压电机的运行特性进行建模,对该电机的空载、带额定负载以及电压突变时的运行状况进行了仿真。抽取一台样机进行了试验,通过仿真与试验结果的对比,检验了建立的电机模型的准确性,说明可以通过该模型的仿真研究幅压并励直流电动机的各种工况,从而验证电机的设计是否合理,保证电机可靠运行。     

城市轨道交通杂散电流及轨道对地绝缘测试

介绍了城市轨道交通杂散电流的基本概念、杂散电流腐蚀的机理,以及杂散电流的危害。阐述了减小钢轨电阻、增加泄漏路径对地电阻、设置杂散电流收集网等减少杂散电流的方法。讨论了轨道对地绝缘测试的方法。     

实现自动报站的新方法

电脑报站器已被广泛应用到城市公共汽车上,但每次报站都需要司机进行手工操作,这不仅增加了司机的劳动强度,也于安全行车不利.