面向混合交通流的智能网联车鸣笛意图识别模型

为使混合交通流(Mixed Traffic Stream，MTS)下智能网联车(Intelligent Connected Vehicle，ICV)实现鸣笛意图(Horn’s Intention，HI)识别，更好地遵循常规车辆(Manual Vehicle， MV)的驾驶意图，提出ICV 对MV 鸣笛声的“ 感知(Perception) - 定位(Location) - 识别 (Recognition)”模型(简称HI-PLR)，采用深度卷积-循环神经网络(Deep Convolution Recurrent Neural Network, DCRNN)算法感知鸣笛车辆(Horning Vehicles, HV)的鸣笛声；采用到达时差 (Time Difference of Arrival, TDOA)算法定位HV；再基于运动时间窗(Motion Time Window, MTW)的支持向量机(Support Vector Machine, SVM)算法识别HI.实验结果表明，HI-PLR可使 ICV 对混流中车辆的鸣笛声感知准确率达90.4%，定位角度估计误差小于5°，HI 识别率达 82.5%，为ICV在MTS中的智能驾驶决策提供依据.     

风机盘管空调系统在地铁改造工程的应用

通过对北京1、2号线车站的风机盘管空调系统运行维护的介绍,结合实测数据,分析风机盘管系统在实际应用中存在的问题,论述在小规模地下车站使用变频、变容量、多联机空调系统的优势。     

寒冷地区单塔双跨自锚式悬索桥主缆架设施工技术

通过位于北方寒冷地区的哈尔滨市松北区发生渠FK2-3#公路桥悬索主缆的安装,介绍了寒冷地区单塔双跨自锚式悬索桥主缆的安装过程及控制要点;通过该桥主缆施工,总结了一套寒冷地区单塔双跨自锚式悬索桥主缆架设施工技术,对今后类似工程的施工有较高的参考价值.     

V／X接线主变压器差动保护装置动作跳闸分析

根据高速铁路V／X接线变压器差动保护原理,结合录波、故障报文等信息对嘉兴南牵引变电所主变压器差动保护装置故障跳闸进行分析,并提出了变压器差动保护装置动作的主要原因及对策。     

桥上纵连板式无砟轨道挠曲力计算分析

根据桥上纵连板式无砟轨道的结构特点,基于有限元方法建立桥上纵连板式无砟轨道挠曲计算模型,计算温度荷载下的挠曲力,分析列车荷载作用长度、活载入桥方式对挠曲力的影响,研究桥上纵连板式无砟轨道在挠曲力作用下的梁轨相互作用规律。结果表明:桥梁挠曲变形所引起的钢轨纵向附加力较小,其中简支梁桥上钢轨挠曲附加力不超过21.6 kN,连续梁桥上钢轨挠曲附加力不超过24.0 kN;在进行部件的受力检算时,应根据具体的部件选用伸缩力或挠曲力;与桥上有砟轨道及单元板式无砟轨道有较大不同的是,还需要根据不同的检算部件寻求最不利的挠曲力列车荷载加载方式;建议采用活动端迎车进行加载。     

严寒地区高速铁路接触网金属材质探讨

论述了不同金属材质在低温环境下的一些机械特性,并结合高速铁路接触网特点进行了分析,认为低温冲击韧性是选择金属材质应重点考虑的因素,然后针对受低温影响较大的钢材质进行了分析并得出了一些结论,最后提出了严寒地区高速接触网材质选型上的几个建议。     

The evaluation of transportation energy efficiency: An application of three-stage virtual frontier DEA

In this paper, transportation energy efficiency is newly defined and its inputs and outputs are obtained through literature review. Labor input, capital input and energy input are selected as the inputs, passenger turnover volume and freight turnover volume are defined as the outputs. A new model—three-stage virtual frontier DEA (three-stage virtual frontier Data Envelopment Analysis) is proposed to evaluate transportation energy efficiencies. The case of thirty Chinese PARs (provincial administrative regions) from 2003 to 2012 is applied to verify its rationality. In the three-stage virtual frontier DEA, the reference DMU (decision-making unit) set and the evaluated DMU set are two different sets so that it can distinguish the DEA efficient DMUs. And in the evaluating process, the reference DMU set remains unchanged to assure its results more reasonable than Super DEA model. The results show that transport structure and management measures have important impacts on transportation energy efficiency.     

图的相对结合数与图的结构的两个新结果

在已有研究的基础上，进一步讨论图的相对结合数rb(G)与图的结构的关系，主要得到有关rb(G)=n-6和rb(G)=4-n时的结果。     

基于“互联网+”与“物联网”混合发展的智能网联汽车发展研究

汽车行业迅猛发展,大量新技术和设备应用其中,极大的推动了汽车行业发展。智能网联汽车作为现代企业行业发展的主要趋势,基于互联网+与物联网混合发展,基于控制器、执行器和传感器等装置,与通信技术和网络技术有机融合,可以实现数据云端传输共享,协同控制和智能决策,赋予驾驶人员更加高效、舒适与安全的驾驶体验。相较于传统交通出行方式,智能网联汽车出行方式更加安全可靠,对于推动汽车行业更高层次发展具有积极作用。文章重点就智能网联汽车发展展开分析,把握互联网+与物联网带来的技术优势,积极践行到实处,力求为我国汽车行业发展提供支持与参考。     

Benchmarking road safety performance by grouping local territories: A study in the Netherlands

The method of benchmarking provides an opportunity to learn from better performing territories to improve the effectiveness and efficiency of activities in a particular field of interest. Such a field of interest could be road safety. Road safety benchmarking can include several indicators, ranging from performance indicated by crash statistics, to indicators that also account for consequences in costs or the underlying state of the road safety system and relevant organisation and processes at actor level. The structure and culture of a territory is identified as a basic context of road safety performance. This is regarded as important information to use in grouping of territories to get more homogenous or equal and comparable conditions to learn from ‘the best in class’.The main aim of this study is to assess the usability of different groupings using the physical structure for benchmarking road safety performance at local territorial level. A traditional grouping of municipalities in the Netherlands was compared with a simple grouping of these municipalities based on their level of urbanisation and an advanced grouping in which more indicators such as differences in demography, growth and road structure were taken into account. As in other studies, urbanisation showed to be the most predominant structural factor for grouping local territories and related to differences in road safety performance. However, if information would be needed for specific target groups, other factors like age and gender distribution or the distribution of the road network can provide valuable additional insight and better homogenous starting points for benchmarking. Especially benchmarking of rural territories may profit from such extra distinctive characteristics.