基于无线Mesh网络技术的列车宽带接入原型系统设计

随着高速铁路、公路交通的发展,信息网络的移动接入技术需要得到相应的改善和提高。根据公共移动通信网和铁路专用移动通信网的发展现状,目前有多种列车移动接入技术。通过方案比较,本文原型系统采用了基于无线Mesh网络技术的无线宽带接入技术。当前,无线Mesh网络可遵循的标准有IEEE802.11s草案,该草案对无线Mesh网络的功能、接口及网络协议栈进行了全面的定义。本文根据IEEE802.11s草案,在Linux操作系统下定义了Mesh协议栈框架,并在此基础上设计实现了针对列车的车地宽带接入带状应用场景的无线Mesh网络原型系统,并就搭建的实际网络场景进行了性能测试。实验结果表明,所设计的原型系统基本达到了列车车地宽带接入应用的要求。     

基于分布式发电的单相双凸极直流发电机原理和时步有限元分析

分布式发电(DG)是指在公共电力系统中的关键部位或在用电负载处使用小型发电机(组)供电的模式,合理发展分布式供电有利于节约能源和保护环境。文章提出单相双凸极直流发电机作为小型清洁能源分布式直流电源系统的主发电机,其结构简单、功率重量比高、转速高,可以起到简化系统、降低成本、提高可靠性的作用。首先介绍了该型电机的原理和构成方法,然后运用时步有限元法对发电机进行电磁计算,分析、比较了电励磁、永磁单相4极/6极(定子极数/转子极数)双凸极直流发电机和三相电励磁6极/4极双凸极直流发电机的外特性和功率曲线,以及电励磁单相4极/6极双凸极直流发电机的3种发电方式的外特性和功率曲线,最后分析并仿真验证了减小输出电压脉动的方法。     

客运专线高陡边坡洞门及缓冲结构设计

以西安至成都客运专线为背景,总结了目前客运专线隧道常见的几种洞门及缓冲结构形式,并根据本线隧道洞口地形高、陡的特点,提出了平导式缓冲结构,并对其设置参数进行数值模拟分析,通过分析比选确定了合理的设置参数,供业内人士进行相关工程设计时参考。     

薄壁杆件六面体网格剖分的组装法

针对箱梁等薄壁杆件的六面体网格自动生成问题,提出以下算法:在内外壳表面上,根据其拓扑关系和几何位置,采用映射和插值的方法布设节点;根据各个壳节点三维位置和拓扑关系对其进行编号;采用动态规划的方法,根据壳之间的拓扑几何关系组装内外壳,统一节点编号,生成单元。应用以该方法编制的相应计算软件对一座三跨连续箱形梁桥进行网格剖分。结果表明:该算法简单,效率高,生成的单元质量好。     

Large-scale dynamic transportation network simulation: A space-time-event parallel computing approach

This paper describes a computationally efficient parallel-computing framework for mesoscopic transportation simulation on large-scale networks. By introducing an overall data structure for mesoscopic dynamic transportation simulation, we discuss a set of implementation issues for enabling flexible parallel computing on a multi-core shared memory architecture. First, we embed an event-based simulation logic to implement a simplified kinematic wave model and reduce simulation overhead. Second, we present a space-time-event computing framework to decompose simulation steps to reduce communication overhead in parallel execution and an OpenMP-based space-time-processor implementation method that is used to automate task partition tasks. According to the spatial and temporal attributes, various types of simulation events are mapped to independent logical processes that can concurrently execute their procedures while maintaining good load balance. We propose a synchronous space-parallel simulation strategy to dynamically assign the logical processes to different threads. The proposed method is then applied to simulate large-scale, real-world networks to examine the computational efficiency under different numbers of CPU threads. Numerical experiments demonstrate that the implemented parallel computing algorithm can significantly improve the computational efficiency and it can reach up to a speedup of 10 on a workstation with 32 computing threads.     

Conflict-free arrival and departure trajectory planning for parallel runway with advanced point-merge system

In this paper, an efficient trajectory planning system is proposed to solve the integration of arrivals and departures on parallel runways with a novel route network system. Our first effort is made in designing an advanced Point Merge (PM) route network named Multi-Level Point Merge (ML-PM) to meet the requirements of parallel runway operations. Then, more efforts are paid on finding a complete and efficient framework capable of dynamically modelling the integration of arrival and departure trajectories on parallel runways, modelling the conflict detection and resolution in presence of curved trajectory and radius-to-fix merging process. After that, a suitable mathematical optimization formulation is built up. Receding Horizon Control (RHC) and Simulated Annealing (SA) algorithms are proposed to search the near-optimal solution for the large scale trajectories in routine dense operations. Taking Beijing Capital International Airport (BCIA) as a study case, the experimental results show that our system shows good performances on the management of arrivals and departures. It can automatically solve all the potential conflicts in presence of dense traffic flows. With its unique ML-PM route network, it can realize a shorter flying time and a near-Continuous Descent Approach (CDA) descent for arrival aircraft, an economical climbing for departure aircraft, an easier runway allocation together with trajectory control solutions. It shows a good and dynamic sequencing efficiency in Terminal Manoeuvring Area (TMA). In mixed ML-PM mode, under tested conditions, our proposed system can increase throughput at BCIA around 26%, compared with baseline. The methodology defined here could be easily applied to airports worldwide.     

考虑收益管理的高铁平行车次动态差别定价

基于RP(Revealed Preference)和SP(Stated Preference)调查数据，利用潜在类别模型对高铁旅客进行细分，得到旅客对平行车次不同服务属性，如列车运行时间、发车时段和舒适度的偏好程度，并对其进行量化；引入收益管理，以多列车整体收益最大为目标，构建平行车次动态差别定价模型，并设计模拟退火算法进行求解；最后，通过京沪高铁进行实例验证.结果表明：与固定票价进行客票销售相比，所提方案能够适应高峰期和平峰期不同客流特点，提高铁路客票总收益，为高铁平行车次灵活定价提供参考.     

导管式推进器非定常性能数值计算方法研究

基于滑移网格方法，采用SST k-ω湍流模型研究不同网格划分方式对带前置定子导管式推进器非定常性能的研究。首先基于相对参考坐标系法及滑移网格方法分别对推进器在定常与非定常下的性能进行数值预报，并与试验结果相比验证计算方法的可靠性。基于该方法研究整体网格划分方式与周期性网格对推力系数、扭矩系数与推进器各个方向上的非定常脉动力的影响。研究结果为进一步研究推进器非定常性能提供了参考。     

GSM-R中跨SGSN更新时源SGSN域名解析数据的智能生成方案设计

源SGSN域名解析数据是GSM-R网络编号方案数据中重要的需跨局制作的一类数据。由RAI编码构造生成,在跨SGSN路由区更新时,存储于DNS中,以解析源SGSN的IP地址。全路400多条G网线路,错综复杂的基站引用关系,导致数据复杂多样。针对该情况,利用聚类分析和关联规则分析算法,研究源SGSN解析数据的智能生成方案,提高数据的全面性、准确性,从而有效保障GSM-R分组域应用业务的正常运转。     

The generators of paratransit trips by persons with disabilities

Identifying the generators of paratransit trips by persons with disabilities is important to comprehend the current demand patterns and forecast future demand. Only a handful of studies have been conducted so far to identify the generators of paratransit trips and most focused on the home end of the trips. Given some of the inconsistencies in past studies and the scarcity of studies on the generators of trips away from home, this study attempts to identify the generators of paratransit trips beginning and ending at clients’ homes and away from home. It uses an extremely large dataset consisting of 1.91 million trips made by NJ TRANSIT’s Access Link clients, socioeconomic data from the American Community Survey, employment data from the Longitudinal Employer-Household Dynamics, and establishment data from Dun and Bradstreet. The analytical methods include an ordinary least squares model (OLS) and several spatial generalized linear mixed models (GLMM) to identify the characteristics of census block groups associated with Access Link trip generation at home and away from home, Geographic Information System (GIS) analysis to identify the types of establishments located in the immediate vicinity of drop-offs, and a multinomial logit model (MNL) to examine the relationship between the characteristics of the establishments in the vicinity of drop-offs and the characteristics of the dropped-off clients. Together, the various analyses provide useful insights about paratransit trip generators at the macro and micro levels. Some implications of the findings are discussed.