直线电机运载系统车辆段轨道设计

与传统的车辆段相比,直线电机运载系统车辆段具有站场布置灵活、占地面积小等优点,同时,对轨道的结构设计也提出了新的要求。通过广州地铁4号线车辆段设计实例,介绍直线电机运载系统对车辆段轨道的设计要求、轨道的设计特点以及新技术应用等。     

Research on the Influence of Vertical Deformation of Bridge on the Track RegularityEI北大核心

Research purposes: The vertical deformation of high-speed railway (HSR) bridge will cause the track irregularity, which threatens the safe and efficient operation of the HSR. Taking the 32 m simple supported beam bridge as the research object, based on the existing mapping analytical model for bridge vertical deformation and rail geometry, the influence of the track regularity of the CRTS Ⅰ slab ballastless track structure caused by the key parameters such as the bridge vertical deformation amplitude, the hanging length of the beam end and the vertical stiffness of mortar layer were studied, and the corresponding measures to control the rail deformation were proposed, to provide theoretical reference for comprehensive treatment of rail deformation of HSR bridge. Research conclusions:(1) The pier settlement, the vertical rotation of the beam end and the beam fault will cause the rail to follow the beam deformation, and "up-warping" of the rail on the vertical deformation boundary will appear. (2) The rail deformation is directly proportional to the vertical deformation amplitude of the bridge and the key to control the rail deformation is to reduce the vertical deformation of the bridge. (3) The rail deformation can be controlled by reducing the hanging length of beam and vertical stiffness of mortar layer. (4) The research results can provide a theoretical reference for controlling the vertical rail deformation of high-speed railway bridges. © 2018, Editorial Department of Journal of Railway Engineering Society. All right reserved.     

气压ABS系统流量特性的实验研究

开发了气压ABS电磁阀测试系统，建立了气室充、放气过程压力变化的微分方程，结合两者研究了气压ABS系统的流量特性，获得了某中型客车ABS系统在不同情况下的流量系数。讨论了ABS电磁阀的结构参数和动作频率对整个系统流量特性的影响，并得到了几种典型动作频率下的流量系数。建立的气室压力模型和所求得的流量系数为气压ABS控制逻辑的设计提供了依据。     

基于特征子序列修正的公交刷卡滞后时间推算

针对一票制公共交通IC卡刷卡系统存在的滞后时间问题,提出基于特征子序列修正的时差匹配推算方法。依托GPS车辆到站信息序列和刷卡聚类序列,分析首末站和中途站站间运行时间分布的差异化特征,分别从两序列中提取大时间差和连续小时间差等特征子序列;利用两种子序列间一对一或一对多的对应关系分别进行初步搜索和二次修正,兼顾匹配过程的效率和精度。将推算流程应用于山西省大同市公共汽车系统,结果显示,抽样车辆的刷卡匹配率均达到99%以上,并且针对不同类型的公共汽车线路具有较强的适应性。     

考虑财政补贴的电动公交车队置换优化模型

为解决公交车队置换问题,分析财政补贴政策对公交车队电动化的影响,本文考虑财政补贴、温室气体排放水平等因素,以公交车队生命周期成本最小为优化目标,建立公交车队置换的混合整数规划模型,使用CPLEX软件求解模型,获得最优精确解.以2017年北京市19路公交车队为算例进行计算,得出最优的车辆购置方案、充电桩购置方案、车辆淘汰...     

浅谈模拟集群通信系统在伊朗铁路中应用

简要介绍伊朗铁路情况;从系统结构、功能特点、组网方式及价格等方面,对模拟集群、数字集群、GSM-R以及常规的无线列调系统进行比较;根据伊朗既有铁路情况,采用模拟集群通信系统具有明显的优势。     

遂渝铁路边坡种植基材配比对植被的影响

对遂渝铁路重庆枢纽边坡喷混植生种植基材的配比进行了探讨,结合现场试验,说明种植基材的不同配比对该地区岩石边坡植被生长情况的影响。为以后的铁路边坡绿色防护种植基材的配比设计提供科学依据,并为同类工程提供参考。     

电动汽车充电桩安全管理研究

随着国家对环境保护和能源节约的重视以及新能源政策的实施,电动汽车行业迎来了快速发展。充电基础设施的建设,是加快电动汽车推广的重要需要。电动汽车充电基础设施建设和运营业务发展的机会也极大,随之而来的安全管理工作要求也越来越高。本文依据充电桩建设和运营的特点,剖析其中面临的安全风险,并提出加强安全管理工作的措施,为充电桩企业安全管理运营提供参考和借鉴。     

Subjective-utility travel time budget modeling in the stochastic traffic network assignment

ABSTRACT

In this article, we propose a new model called subjective-utility travel time budget (SU-TTB) model to capture travelers' risk-averse route choices. In the travel time budget (TTB) and mean-excess travel time (METT) model, a predefined confidence level is needed to capture the risk-aversion in route choice. Due to the day-to-day route travel time variations, the exact confidence level is hard to be predicted. With the SU-TTB model, we assume travelers' confidence level belongs to an interval that they may comply with in the route choice. The two main components of SU-TTB are the utility function and the TTB model. We can show that the SU-TTB can be reduced to the TTB and METT model with proper utility function for the confidence levels. We can also prove its equivalence with our recently proposed nonlinear-expectation route travel time (NERTT) model in some cases and give some new interpretation on the NERTT with this equivalence. Finally, we formulate the SU-TTB model as a variational inequality (VI) problem to model the risk-averse user equilibrium (RAUE), termed as generalized RAUE (GRAUE). The GRAUE is solved via a heuristic gradient projection algorithm, and the model and solution algorithm are demonstrated with the Braess's traffic network and the Nguyen and Dupuis's traffic network.