The relationship between urban street networks and private motorized trips at the city level

There are factors that impact car usage in urban areas, such as density, diversity and design, but there have been few studies that examine the relationship between street network factors and car usage at the city level (macro level). This paper focuses on this relationship by introducing urban street network variables, such as blocks per area, nodes per block and length of roads and motorways, as independent variables and the percentage of daily trips by private motorized modes as the dependent variable. The street network in this study includes interconnecting lines and points that present streets, roads, motorways, intersections and blocks. The strength of the relationship in this study is found using multiple linear regression. The findings of this research indicate that an increase in car usage is correlated with an increasing number of blocks per area, number of nodes per block and length of motorways. In addition, because the urban street network is the result of macro-scale planning decisions, considering this relationship can lead to better planning decisions.     

低压气液混输采气管道串接集气模式研究

针对杭锦旗气田高液气比气井井间串接集气距离长、管道压损大的问题,文中用权重法估算了影响管道气液混输距离的因素,表明管道直径是影响集气距离的最重要因素,权重比约56.1%。根据杭锦旗气田气井生产参数,对不同采气管道规格串接模式进行了研究,确定了适用于不同集气量和串接井数的采气管道规格系列,提出了直线式与辐射式相结合的井间串接模式,为杭锦旗气田地面集输站场和管网设计提供技术依据。     

Short‐term traffic flow prediction with linear conditional Gaussian Bayesian network

Traffic flow prediction is an essential part of intelligent transportation systems (ITS). Most of the previous traffic flow prediction work treated traffic flow as a time series process only, ignoring the spatial relationship from the upstream flows or the correlation with other traffic attributes like speed and density. In this paper, we utilize a linear conditional Gaussian (LCG) Bayesian network (BN) model to consider both spatial and temporal dimensions of traffic as well as speed information for short‐term traffic flow prediction. The LCG BN allows both continuous and discrete variables, which enables the consideration of categorical variables in traffic flow prediction. A microscopic traffic simulation dataset is used to test the performance of the proposed model compared to other popular approaches under different predicting time intervals. In addition, the authors investigate the importance of spatial data and speed data in flow prediction by comparing models with different levels of information. The results indicate that the prediction accuracy will increase significantly when both spatial data and speed data are included. Copyright © 2016 John Wiley & Sons, Ltd.     

Mathematical model for optimising the sequence for clearing snow from the manoeuvring area during winter operations

This article considers the optimisation of the sequence for clearing snow from stretches of the manoeuvring area of an airport. This issue involves the optimisation of limited resources to remove snow from taxiways and runways thereby leaving them in an acceptable condition for operating aircraft. The airfield is divided into subsets of significant stretches for the purpose of operations and target times are established during which these are open to aircraft traffic. The document contains several mathematical models each with different functions, such as the end time of the process, the sum of the end times of each stretch and gap between the estimated and the real end times. During this process, we introduce different operating restrictions on partial fulfilment of the operational targets as applied to zones of special interest, or relating to the operation of the snow‐clearing machines. The problem is solved by optimisation based on linear programming. The article gives the results of the computational tests carried out on five distinct models of the manoeuvring area, which cover increasingly complex situations and larger areas. The mathematical model is particularised for the case of the manoeuvring area of Adolfo Suarez Madrid—Barajas Airport. Copyright © 2016 John Wiley & Sons, Ltd.

Highlights
• Optimal sequence for clearing snow from the manoeuvring area of an airport.
• Contains optimising algorithms solved using CPLEX LP‐based tree search.
• Restrictions on partial fulfilment of operational targets applied to subsets of significant stretches, used for planning the operation of snow‐clearing machines.
• Model applied to the case of the manoeuvring area of Adolfo Suárez Madrid Barajas Airport.
• Conclusions are given on the results of the computational tests carried out. There are five models of the manoeuvring area which cover increasingly complex situations and larger areas.

     

Robust control and actuator dynamics compensation for railway vehicles

A robust controller is designed for active steering of a high speed train bogie with solid axle wheel sets to reduce track irregularity effects on the vehicle’s dynamics and improve stability and curving performance. A half-car railway vehicle model with seven degrees of freedom equipped with practical accelerometers and angular velocity sensors is considered for the H_∞ control design. The controller is robust against the wheel/rail contact parameter variations. Field measurement data are used as the track irregularities in simulations. The control force is applied to the vehicle model via ball-screw electromechanical actuators. To compensate the actuator dynamics, the time delay is identified online and is used in a second-order polynomial extrapolation carried out to predict and modify the control command to the actuator. The performance of the proposed controller and actuator dynamics compensation technique are examined on a one-car railway vehicle model with realistic structural parameters and nonlinear wheel and rail profiles. The results showed that for the case of nonlinear wheel and rail profiles significant improvements in the active control performance can be achieved using the proposed compensation technique.     

设计时速 160 km 以下铁路隧道（普货、有砟轨道）内轮廓标准研究

当前运营的时速160 km以下有砟轨道（普货）隧道内轮廓尽寸难以满足大型养护机械（特别是大型清筛机）作业空间需求,通过对新建时速160 km以下电气化铁路、单双线隧道内轮廓主要影响因素（建筑限界、接触网悬挂方式及布置、大型养护机械空间需求、轨道结构型式、侧沟及电缆槽设置等）进行综合分析,确定单双线有砟轨道隧道内轮廓控制性尺寸,并初步拟定满足大型养护机械作业要求的内轮廓方案,在此基础上通过对内轮廓方案的结构安全性、经济性及施工便利性进行综合比较,确定推荐方案,该成果对铁路行业隧道通用图编制有一定的参考价值。     

CA3GA2发动机进气歧管的设计与开发

CA3GA2发动机是一款1.0 L排量的3缸汽油机,电喷汽油机的进气系统对发动机的动力性和经济性有很大的影响.文章介绍了利用CAD/CAE等现代计算机辅助设计手段对CA3GA2发动机的进气歧管进行优化设计,然后对其进行发动机台架试验,考核其可靠性及对整机性能的影响,经过反复优化,进气歧管最终达到开发目标.     

进气压力传感器输出特性及温度补偿分析

为了改善温度对汽车进气歧管绝对压力传感器输出电压特性的影响。在分析压力传感器工作原理和温度补偿原理的基础上,利用无温度补偿标准压力传感元件搭建温度补偿电路和信号放大电路的方法,保证压力传感器的输出特性符合要求,使发动机电控燃油喷射系统能获得最佳空燃比,同时降低传感器的制造成本。研究结果表明。在温度补偿电路中利用高精度热敏电阻等元件,通过试验修正补偿电阻参数的方法,能满足压力传感器的输出特性要求。     

美术涂料在客车上的应用

简要介绍美术涂料在大中型客车上的应用情况,并分析其在大中型客车上的应用前景。     

基于秩约束的车辆遮挡点恢复方法

为了恢复车辆跟踪过程中丢失的特征点,提出了一种基于秩约束的车辆遮挡点恢复方法,该方法利用所有车辆图像点组成一个秩3的矩阵,并利用该特性构造一个投影矩阵,利用该投影矩阵求到车辆遮挡点,再将求到的车辆遮挡点代替图像中的车辆遮挡点,经过多次迭代,最后求到车辆遮挡点的真实位置。该方法的优点是所有的图像及图像点都平等地看待,模拟试验和真实试验表明,该方法具有鲁棒性好、收敛性好及误差小等优点。