公路线形安全性模糊综合评价

在建立线形安全性评价体系的基础上,提出了公路线形安全性的模糊评价方法,对其评分标准、隶属函数的建立及指标权重的确定方法等进行了深入讨论,并结合高速公路设计项目对所提出的线形安全性模糊综合评价方法进行了验证。     

地铁典型换乘站换乘方式适配性评价研究

针对地铁换乘站换乘方式适配性评价难题,提出总体技术方案并构建设施平均密度、能力饱和度、平均疏散时间等量化评价指标,以典型十字换乘站——沈阳地铁青年大街站为例,重点分析换乘方式能力适配性问题。通过车站客流仿真及指标计算评价,发现站台能力不足及换乘设施客流冲突等问题突出。因此,从行车组织及车站结构方面提出优化建议,其中压缩行车间隔仅能提升车站运能,但难以解决换乘节点客流冲击问题;而优化车站结构仅能减缓换乘设施压力,若同时实施,则能彻底解决能力不足和冲击性问题。建议大客流换乘站不采用十字节点换乘,应结合工程条件优先考虑T型或L型换乘。     

职业教育管理与评价软件的开发与利用

本文从实际工作出发,在分析目前职业教育管理与评价中存在问题的基础上,结合管理信息系统开发的概念、结构及系统开发的基本原理和方法进行了一个初步的介绍。     

含地面再生制动能量利用装置的供电设计和节能指标评估

逆变回馈装置和储能装置等地面再生制动能量利用装置(GRUD)在城市轨道交通牵引供电系统中的应用逐渐普遍.针对GRUD的供电系统设计问题,首先建立不同GRUD的供电计算模型,并以此为基础,建立GRUD的优化设计与运营模型,设计阶段目标函数为GRUD寿命期限内的系统综合成本,运营阶段目标函数为系统牵引能耗.针对含GRUD供...     

EBBR试验下沥青结合料低温性能评价指标

聚焦沥青结合料低温性能评价指标,基于流变学的弯曲梁流变仪试验、改进弯曲梁流变仪试验,分别分析了实际路面回收沥青、老化后的基质沥青、改性沥青低温流变性能规律;利用传统劲度模量及模量变化率指标展开了沥青的低温性能评价,提出了等效低温设计温度指标与温度差异值指标;在不同养护环境下进行模拟,利用低温等级损失指标对新制备、回收沥青展开了低温物理硬化影响因素研究;利用不同来源、不同品种沥青试验结果相互验证,从抗干扰能力、稳定性、评价准确度、直观性与指标获取难易程度等方面对上述指标进行分析,确立了4类指标对沥青低温性能的区分与评价能力。研究结果表明：回收沥青的实验室流变分析能够反映路面结构的低温抗裂水平,开裂严重路段沥青的模量明显高于其他路段,其数值差异可达130 MPa;新制备的SBS改性沥青与回收沥青低温加载规律一致性高,模量偏差低于15%,可有效搭建起实验室研究同实际路面病害处理需要的关系;传统指标数据稳定性偏弱,置信度仅为64.7%~82.3%,难以满足研究需要,温度差异值指标及低温等级损失指标在应用方面同样受到制约,对此仍需开展更多深入的研究。     

基于三维模型重构技术的公路预制构件尺寸检验评价方法

为使公路工程异形混凝土预制构件的制造尺寸检验评价适应工业化建造要求,应用三维模型重构技术检验评价了异形混凝土预制构件尺寸,提出了高精度、自动化异形混凝土预制构件尺寸检验评价方法,包括三维模型重构、点云数据处理和检验评价体系3个环节;总结了基于三维摄影的点云模型重构技术的原理和关键环节,研究了基于坐标转换和包围盒的无关点云自动剔除算法,并通过2个实例验证了该算法的效果;研究了点云整体配准和3类局部配准方法,针对不同形状的构件和不同位置的细部构造,结合工程需求进行对照;考虑工程需求并与配准方法对应,提出了基于彩色误差云图和数理统计方法进行构件尺寸检验评价的3种判异原则,包括误差均值和标准差判异原则、误差极值判异原则、综合判异原则;综合分析彩色误差云图和误差分布,利用判异原则对箱型涵洞侧墙和管型涵洞侧墙实例的尺寸进行了检验评价。研究结果表明：3种判异原则分别适合对预制构件进行整体宏观、局部单项和先整体后局部的检验评价;采用三维模型重构技术建立的异形混凝土预制构件点云模型,与实际构件相比其长度和宽度的误差均值约为1.5 mm,三维模型重构技术可以替代人工测量;能够自动化剔除无关点云,并执行更为严格且符合工程需求的构件尺寸检验评价。     

论孔子人才观的历史定位与普适价值

孔子的人才观虽然产生于春秋时期动荡的社会背景下,却揭示了人才的最本质内涵———＂仁、智、勇＂。三者作为人才内涵的核心三要素,形成一个内在的三角稳定结构,它能够持久地推动包括成才在内的人的生命境界的发展,因而具有超越时代和社会阶层的普适价值。     

高职院校公共《计算机基础》课程实践教学研究

对高职院校公共《计算机基础》实践教学效果及其存在的问题进行剖析,针对这些问题所采取的应对措施进行了探索和研究。提出加强实践教学改革的方案和具体方法,使高职院校的计算机基础教育能更好地与市场接轨。     

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.     

Subjective-utility travel time budget modeling in the stochastic traffic network assignment

ABSTRACT

In this article, we propose a new model called subjective-utility travel time budget (SU-TTB) model to capture travelers' risk-averse route choices. In the travel time budget (TTB) and mean-excess travel time (METT) model, a predefined confidence level is needed to capture the risk-aversion in route choice. Due to the day-to-day route travel time variations, the exact confidence level is hard to be predicted. With the SU-TTB model, we assume travelers' confidence level belongs to an interval that they may comply with in the route choice. The two main components of SU-TTB are the utility function and the TTB model. We can show that the SU-TTB can be reduced to the TTB and METT model with proper utility function for the confidence levels. We can also prove its equivalence with our recently proposed nonlinear-expectation route travel time (NERTT) model in some cases and give some new interpretation on the NERTT with this equivalence. Finally, we formulate the SU-TTB model as a variational inequality (VI) problem to model the risk-averse user equilibrium (RAUE), termed as generalized RAUE (GRAUE). The GRAUE is solved via a heuristic gradient projection algorithm, and the model and solution algorithm are demonstrated with the Braess's traffic network and the Nguyen and Dupuis's traffic network.