Influential vectors in fuel consumption by an urban bus operator: Bus route,driver behavior or vehicle type?

Energy costs account for an important share of the total costs of urban and suburban bus operators. The purpose of this paper is to expand empirical research on bus transit operation costs and identify the key factors that influence bus energy efficiency of the overall bus fleet of one operator and aid to the management of its resources.We estimate a set of multivariate regression models, using cross-section dataset of 488 bus drivers operating over 92 days in 2010, in 87 routes with different bus typologies, of a transit company operating in the Lisbon’s Metropolitan Area (LMA), Rodoviária de Lisboa, S.A.Our results confirm the existence of influential variables regarding energy efficiency and these are mainly: vehicle type, commercial speed, road grades over 5% and bus routes; and to a lesser extent driving events such as: sudden longitudinal decelerations and excessive engine rotation. The methodology proved to be useful for the bus operator as a decision-support tool for efficiency optimization purpose at the company level.     

车务可视化信息系统设计与实现

车务可视化信息系统通过三维模型及虚拟漫游的展现形式,将铁路运行及运营的动态信息进行集成和柔性展示,实现旅客服务信息及运输管理相关数据的整合,通过可视化的展现方式既方便旅客及管理人员,又充分展示铁路信息化建设的成果。     

Heteroscedastic Gaussian processes for uncertainty modeling in large-scale crowdsourced traffic data

Accurately modeling traffic speeds is a fundamental part of efficient intelligent transportation systems. Nowadays, with the widespread deployment of GPS-enabled devices, it has become possible to crowdsource the collection of speed information to road users (e.g. through mobile applications or dedicated in-vehicle devices). Despite its rather wide spatial coverage, crowdsourced speed data also brings very important challenges, such as the highly variable measurement noise in the data due to a variety of driving behaviors and sample sizes. When not properly accounted for, this noise can severely compromise any application that relies on accurate traffic data. In this article, we propose the use of heteroscedastic Gaussian processes (HGP) to model the time-varying uncertainty in large-scale crowdsourced traffic data. Furthermore, we develop a HGP conditioned on sample size and traffic regime (SSRC-HGP), which makes use of sample size information (probe vehicles per minute) as well as previous observed speeds, in order to more accurately model the uncertainty in observed speeds. Using 6 months of crowdsourced traffic data from Copenhagen, we empirically show that the proposed heteroscedastic models produce significantly better predictive distributions when compared to current state-of-the-art methods for both speed imputation and short-term forecasting tasks.     

复杂载荷作用下船体板格屈曲强度计算公式研究

分析复杂载荷作用下船体板格结构屈曲强度的影响因素,基于ANSYS软件APDL模块参数化建模,对这些因素进行相关性分析,排除无关参数,保留有关参数,得到屈曲强度的定性表达式。然后变更有关参数,得到不同的有限元模型,通过计算得到不同模型下的屈曲强度,分析大量数据,最终得到屈曲强度的定量表达式。该公式可以在工程上用于复杂载荷作用下船体板格结构的屈曲评估,具有重要的实用价值。     

波流数值水池模拟研究

波流共存时会产生复杂的非线性相互作用,其联合作用比单纯的波浪或单纯的海流问题要复杂很多.基于不可压缩流体N-S方程建立数学模型,VOF法追踪自由液面,通过在动量方程中添加源项实现阻尼消波,利用商业软件平台FLUENT加载UDF进行二次开发,模拟了规则波与均匀流以及规则波与剪切流的波流数值水池.分析了均匀流与波浪的相互作用,得到了波流同向、波形变长、波幅降低、波流相向则影响相异等结论.探讨了剪切流对波浪的影响,并对计算结果进行了函数拟合.     

大跨度六线简支钢箱叠拱桥顶推施工关键技术

北京铁路枢纽丰台站改建工程丰台特大桥为1-112 m六线简支钢箱叠拱桥,拱肋采用上、下拱组成的双层拱形式,桥幅全宽38.6m,总重达4 795 t.根据该桥结构特点及施工条件,拱桥采用非桥位现场拼装,整体顶推至设计桥位的施工方案,即在桥位小里程侧顺桥向搭设临时墩、贝雷梁拼装平台,利用履带吊和汽车吊分段拼装拱桥,采用1 ...     

宿迁市运河文化桥现状老桥护栏提升改造设计及应用

随着经济和社会的发展,城市道路的快速化改造工程越来越多。由于新建道路设计时速及标准均有提高,既有现状老桥的防撞护栏等级已经不能满足新建城市快速路标准的要求,需要对现有老桥防撞护栏进行提升改造。以宿迁市迎宾大道二期快速化改造工程为例,介绍了现状运河文化桥老桥防撞护栏的提升改造设计方案,并采用屈服线分析和强度设计理论及非弹性分析方法进行了计算分析。在实际工程应用中,取得了良好的效果,以期为类似的现状老桥护栏提升改造项目提供借鉴。     

玻璃准静态破坏现象隐式和显式组合仿真研究

玻璃准静态破坏的研究对汽车风挡玻璃设计及制造、保护司乘人员安全等具有重要意义.目前在玻璃准静态仿真研究中,尚未涉及玻璃破坏过程.提出有限元隐式和显式组合分析方法,以充分利用两种方法在加载阶段和破坏阶段仿真计算各自的优势,实现高效率的玻璃准静态破坏现象仿真分析.使用基于ABAQUS软件的组合分析方法,仿真分析玻璃同轴双环...     

设备拥有量模型的研究

通过对设备完好率、设备出勤台数和设备拥有量三者之间的关系进行深入的分析,找出三者之间的单值对应关系,采用线性回归、最优化理论、曲面拟合等数学方法并结合计算机软件建立设备拥有量的计算模型,并对此模型进行更深入的分析,建立其分段模型,从而保证了模型的计算精度,为企业的设备投资提供科学的准确的定量分析依据。     

Investigating micro-simulation error in activity-based travel demand forecasting: a case study of the FEATHERS framework

Activity-based models of travel demand have received considerable attention in transportation planning and forecasting in recent years. However, in most cases they use a micro-simulation approach, thereby inevitably including a stochastic error that is caused by the statistical distributions of random components. As a consequence, running a transport micro-simulation model several times with the same input will generate different outputs, which baffles practitioners in applying such a model and in interpreting the results. A common approach is therefore to run the model multiple times and to use the average value of the results. The question then becomes: what is the minimum number of model runs required to reach a stable result? In this paper, systematic experiments are carried out using Forecasting Evolutionary Activity-Travel of Households and their Environmental RepercussionS (FEATHERS), an activity-based micro-simulation modelling framework currently implemented for the Flanders region of Belgium. Six levels of geographic detail are taken into account. Three travel indices – average daily activities per person, average daily trips per person and average daily distance travelled per person, as well as their corresponding segmentations – are calculated by running the model 100 times. The results show that the more disaggregated the level, the larger the number of model runs is needed to ensure confidence. Furthermore, based on the time-dependent origin-destination table derived from the model output, traffic assignment is performed by loading it onto the Flemish road network, and the total vehicle kilometres travelled in the whole Flanders are subsequently computed. The stable results at the Flanders level provides model users with confidence that application of FEATHERS at an aggregated level requires only limited model runs.