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661.
针对“方位、距离法”测定目标运动要素存在的不足,提出运用最小二乘法原理,拟舍求取目标的相对运动要素,进而解算速度三角形,得到目标运动要素,以提高测定精度,减少绘图劳力。 相似文献
662.
出租车客运是城市公共交通的重要组成部分。根据对影响武汉市出租车市场的相关因素的分析,找出建立数学模型需要考察的变量,再结合各变量与出租车数量相关性的强弱,选取合适的模型变量,建立多元回归模型,并对建立的多元回归模型进行检验。 相似文献
663.
Ipek N. Sener Rachel B. Copperman Ram M. Pendyala Chandra R. Bhat 《Transportation》2008,35(5):673-696
This paper presents a detailed analysis of discretionary leisure activity engagement by children. Children’s leisure activity
engagement is of much interest to transportation professionals from an activity-based travel demand modeling perspective,
to child development professionals from a sociological perspective, and to health professionals from an active lifestyle perspective
that can help prevent obesity and other medical ailments from an early age. Using data from the 2002 Child Development Supplement
of the Panel Study of Income Dynamics, this paper presents a detailed analysis of children’s discretionary activity engagement
by day of week (weekend versus weekday), location (in-home versus out-of-home), type of activity (physically active versus
passive), and nature of activity (structured versus unstructured). A mixed multiple discrete-continuous extreme value model
formulation is adopted to account for the fact that children may participate in multiple activities and allocate positive
time duration to each of the activities chosen. It is found that children participate at the highest rate and for the longest
duration in passive unstructured leisure activities inside the home. Children in households with parents who are employed,
higher income, or higher education were found to participate in structured outdoor activities at higher rates. The child activity
modeling framework and methodology presented in this paper lends itself for incorporation into larger activity-based travel
model systems where it is imperative that children’s activity-travel patterns be explicitly modeled—both from a child health
and well-being policy perspective and from a travel forecasting perspective.
Ipek N. Sener is currently a Ph.D. candidate in transportation engineering at The University of Texas at Austin. She received her M.S. degrees in Civil Engineering and in Architecture, and her B.S. degree in Civil Engineering from the Middle East Technical University in Ankara, Turkey. Rachel B. Copperman is currently a Ph.D. student at The University of Texas at Austin in transportation engineering. She received her M.S.E. from The University of Texas at Austin in Civil Engineering and her B.S. from the University of Virginia in Systems Engineering. Rachel grew up in Arlington, Virginia. Ram M. Pendyala is a Professor in Transportation at Arizona State University in Tempe. He teaches and conducts research in activity-based travel behavior modeling, multimodal transportation planning, and travel demand forecasting. He is the chair of the Transportation Research Board Committee on Traveler Behavior and Values and vice chair of the International Association for Travel Behaviour Research. Chandra R. Bhat is a Professor in Transportation at The University of Texas at Austin. He has contributed toward the development of advanced econometric techniques for travel behavior analysis, in recognition of which he received the 2004 Walter L. Huber Award and the 2005 James Laurie Prize from the American Society of Civil Engineers (ASCE), and the 2008 Wilbur S. Smith Distinguished Transportation Educator Award from the Institute of Transportation Engineers (ITE). He is the immediate past chair of the Transportation Research Board Committee on Transportation Demand Forecasting and the International Association for Travel Behaviour Research. 相似文献
Chandra R. Bhat (Corresponding author)Email: |
Ipek N. Sener is currently a Ph.D. candidate in transportation engineering at The University of Texas at Austin. She received her M.S. degrees in Civil Engineering and in Architecture, and her B.S. degree in Civil Engineering from the Middle East Technical University in Ankara, Turkey. Rachel B. Copperman is currently a Ph.D. student at The University of Texas at Austin in transportation engineering. She received her M.S.E. from The University of Texas at Austin in Civil Engineering and her B.S. from the University of Virginia in Systems Engineering. Rachel grew up in Arlington, Virginia. Ram M. Pendyala is a Professor in Transportation at Arizona State University in Tempe. He teaches and conducts research in activity-based travel behavior modeling, multimodal transportation planning, and travel demand forecasting. He is the chair of the Transportation Research Board Committee on Traveler Behavior and Values and vice chair of the International Association for Travel Behaviour Research. Chandra R. Bhat is a Professor in Transportation at The University of Texas at Austin. He has contributed toward the development of advanced econometric techniques for travel behavior analysis, in recognition of which he received the 2004 Walter L. Huber Award and the 2005 James Laurie Prize from the American Society of Civil Engineers (ASCE), and the 2008 Wilbur S. Smith Distinguished Transportation Educator Award from the Institute of Transportation Engineers (ITE). He is the immediate past chair of the Transportation Research Board Committee on Transportation Demand Forecasting and the International Association for Travel Behaviour Research. 相似文献
664.
影响混合料SPT动态蠕变试验的因素很多,主要有混合料种类、试验温度、偏应力、围压等。本文分别对3种混合料Sup20、AC20S、和AC20S+聚酯纤维进行了不同条件下的试验,结果证明Sup20在推荐试验条件下抗变形能力最强;随着偏应力的增加,混合料Rs和实测Fn均减小;围压对高温高偏应力骨架嵌挤结构混合料的影响最大,可以相差10倍。所以,室内SPT动态蠕变试验所采用的围压不应该是定值,而应根据实际情况改变。 相似文献
665.
影响高速公路沥青路面平整度原因分析与对策 总被引:1,自引:0,他引:1
通过本辽辽高速公路沥青路面施工实践,对影响沥青路面平整度的原因进行了细致的分析,并提出相应的对策. 相似文献
666.
667.
基于8自由度的非线性车辆动理学模型,以四轮相关滤波白噪声路面为系统输入,对四轮车辆的随机振动过程进行了计算机时域模拟和实验验证,进而分析了在不同车速条件下钢板弹簧和减震器的非线性因素对车辆平顺性的影响,深入揭示了车辆非线性振动过程的本质。 相似文献
668.
针对目前在抗拔桩设计中对嵌岩桩承载力影响因素理解不足,导致桩基设计不合理的问题,采用离心机模型试验,研究嵌岩深度、岩土体性质和桩型对桩基极限抗拔承载力的影响。研究结果表明:等截面桩极限抗拔承载力随嵌岩深度的增加呈近线性增加,扩底桩极限抗拔承载力呈非线性增加;较软岩与软岩比较,扩底桩极限抗拔承载力增幅超过200%;扩底桩极限抗拔承载力高于等截面桩88.7%~95.2%。 相似文献
669.
弹性支承块轨道振动与噪声强度关系分析 总被引:3,自引:1,他引:3
轮轨噪声在轨道交通噪声中占主要部分。根据国内外对钢轨振动和噪声关系的研究,以非弹性和弹性支承块式轨道结构的振动加速度数据为依据,利用钢轨振动与噪声关系将钢轨的振动转化为噪声,确定由各自钢轨产生的噪声1/3倍频程等效声压级曲线,从降噪方面评价两种无碴轨道的性能,说明弹性支承块轨道振动与噪声强度关系。在理论上对地面因素在噪声传播中的影响进行了探讨,说明地面因素也是影响噪声强度不可忽视的因素之一。最后,从声源和传播途径两个方面提出降低噪声的合理化建议。 相似文献
670.
针对道路交通事故预测具有随机波动性较大、信息量较少和非线性数据序列预测的特点,引入支持向量回归机(SVR),建立基于SVR的道路交通事故预测模型。通过实例计算,证明基于SVR的道路交通事故预测模型具备非线性、所需数据资料较少、建模简单和计算快捷等优点,同时与RBF神经网络预测模型相比,该模型的预测精度高、泛化能力强,更适用于道路交通事故预测。 相似文献