用于单相组合式同相供电的CPD结构可靠性研究

组合式同相供电装置(co-phase compensation device, CPD)是同相供电系统中的关键设施,牵引供电系统的安全稳定运行与其可靠性密切相关。以拓扑分析为基础,综合考虑到各个器件的组合关系,利用k/n(G)可靠性模型建立级联式CPD和MMC-CPD的可靠性分析模型。在满足同相供电装置正常运行的必要条件下对比分析级联式CPD和MMC-CPD的可靠性指标。最后针对MMC-CPD的特殊拓扑结构,分析子模块冗余配置对可靠度的影响,优化MMC中子模块的冗余数量,为单相组合式同相供电MMC-CPD冗余设计和运行维护提供依据。     

船舶电站物理仿真实验装置典型故障分析

阐述了最新研制开发的船舶电站物理仿真实验装置的仿真原理,分析并排除了该装置调试运行过程中出现的典型故障,为电站操作人员提供参考。     

小波变换在轨道静态功率谱密度获取中的应用

利用小波变换将轨道不平顺信号和所得谱图信号分解到互不重叠的频带上,结合小波阈值处理技术,对小波高频系数进行阈值量化处理,滤掉其中某些频段内的干扰与噪声信号,然后对信号进行重构,从而实现了对信号的去噪和对谱图信号的平滑处理。结果表明,该方法成功地获取了轨道静态功率谱密度,有效提高了轨道静态参数信噪比和轨道静态功率谱密度图的可视性。     

A copula-based approach for estimating the travel time reliability of urban arterial

Estimating the travel time reliability (TTR) of urban arterial is critical for real-time and reliable route guidance and provides theoretical bases and technical support for sophisticated traffic management and control. The state-of-art procedures for arterial TTR estimation usually assume that path travel time follows a certain distribution, with less consideration about segment correlations. However, the conventional approach is usually unrealistic because an important feature of urban arterial is the dependent structure of travel times on continuous segments. In this study, a copula-based approach that incorporates the stochastic characteristics of segments travel time is proposed to model arterial travel time distribution (TTD), which serves as a basis for TTR quantification. First, segments correlation is empirically analyzed and different types of copula models are examined. Then, fitting marginal distributions for segment TTD is conducted by parametric and non-parametric regression analysis, respectively. Based on the estimated parameters of the models, the best-fitting copula is determined in terms of the goodness-of-fit tests. Last, the model is examined at two study sites with AVI data and NGSIM trajectory data, respectively. The results of path TTD estimation demonstrate the advantage of the proposed copula-based approach, compared with the convolution model without capturing segments correlation and the empirical distribution fitting methods. Furthermore, when considering the segments correlation effect, it was found that the estimated path TTR is more accurate than that by the convolution model.     

System energy optimisation strategies for metros with regeneration

Energy and environmental sustainability in transportation are becoming ever more important. In Europe, the transportation sector is responsible for about 30% of the final end use of energy. Electrified railway systems play an important role in contributing to the reduction of energy usage and CO₂ emissions compared with other transport modes. For metro-transit systems with frequently motoring and braking trains, the effective use of regenerated braking energy is a significant way to reduce the net energy consumption. Although eco-driving strategies have been studied for some time, a comprehensive understanding of how regeneration affects the overall system energy consumption has not been developed. This paper proposes a multi-train traction power network modelling method to determine the system energy flow of the railway system with regenerating braking trains. The initial results show that minimising traction energy use is not the same as minimising the system energy usage in a metro system. An integrated optimisation method is proposed to solve the system energy-saving problem, which takes train movement and electrical power flow into consideration. The results of a study of the Beijing Yizhuang metro line indicate that optimised operation could reduce the energy consumption at the substations by nearly 38.6% compared to that used with the existing ATO operation.     

On the variance of recurrent traffic flow for statistical traffic assignment

This paper generalizes and extends classical traffic assignment models to characterize the statistical features of Origin-Destination (O-D) demands, link/path flow and link/path costs, all of which vary from day to day. The generalized statistical traffic assignment (GESTA) model has a clear multi-level variance structure. Flow variance is analytically decomposed into three sources, O-D demands, route choices and measurement errors. Consequently, optimal decisions on roadway design, maintenance, operations and planning can be made using estimated probability distributions of link/path flow and system performance. The statistical equilibrium in GESTA is mathematically defined. Its multi-level statistical structure well fits large-scale data mining techniques. The embedded route choice model is consistent with the settings of O-D demands considering link costs that vary from day to day. We propose a Method of Successive Averages (MSA) based solution algorithm to solve for GESTA. Its convergence and computational complexity are analyzed. Three example networks including a large-scale network are solved to provide insights for decision making and to demonstrate computational efficiency.     

Greenhouse gas emissions from ships in ports – Case studies in four continents

Emissions of GHG from the transport sector and how to reduce them are major challenges for policy makers. The purpose of this paper is to analyse the level of greenhouse gas (GHG) emissions from ships while in port based on annual data from Port of Gothenburg, Port of Long Beach, Port of Osaka and Sydney Ports. Port call statistics including IMO number, ship name, berth number and time spent at berth for each ship call, were provided by each participating port. The IMO numbers were used to match each port call to ship specifications from the IHS database Sea-web. All data were analysed with a model developed by the IVL Swedish Environmental Research Institute for the purpose of quantifying GHG emissions (as CO₂-equivalent) from ships in the port area. Emissions from five operational modes are summed in order to account for ship operations in the different traffic areas. The model estimates total GHG emissions of 150,000, 240,000, 97,000, and 95,000 tonnes CO₂ equivalents per year for Gothenburg, Long Beach, Osaka, and Sydney, respectively. Four important emission-reduction measures are discussed: reduced speed in fairway channels, on-shore power supply, reduced turnaround time at berth and alternative fuels. It is argued that the potential to reduce emissions in a port area depends on how often a ship revisits a port: there it in general is easier to implement measures for high-frequent liners. Ships that call 10 times or less contribute significantly to emissions in all ports.     

地铁车站票务运作的策略

伴随着社会经济的持续快速发展,地铁交通已经成为城市居民出行的首要选择,城市地铁的建设里程不断延长,城市地铁的运力不断增强,这些都在很大程度上促进了城市经济的持续快速发展。在实践中,地铁运力的增加,势必会对车站票务运作产生直接的影响。为更好的优化车站票务的运作效率,有必要采用高效且科学的策略,切实提升票务运作的整体成效与质量。     

水力数值模型在合流污水一期系统中的运用与研究

该文根据水文学、水力学和计算机模拟技术的发展,通过计算机水力模型技术,对上海合流一期排水系统运行进行模拟,提出系统内相关泵站的运行优化方案。然后经过现场实际检验,获得了合理的控制方式,使整个系统更高效、更稳定地运行。     

基于高精地图的物流配送车路径规划与跟踪控制

为了解决园区等场景下无人车多途经点配送问题,提出了一种基于矢量化高精地图的车道级全局路径规划、生成和跟踪控制方法。考虑配送车往返途经点顺序对行驶路径总长度的影响,基于高精地图采用A*算法计算各配送点间的最优路径,在此基础上,利用动态规划算法求解经过多个配送点的全局最优路径。应用贝塞尔曲线对规划的路径进行平滑,并根据道路曲率设定不同路径处的参考行驶速度,进而生成车道级的可用于跟踪的目标轨迹。利用车辆二自由度模型设计模型预测控制器进行轨迹跟踪,实现低速物流配送车的自主控制。在 CarSim/Prescan/Simulink联合仿真平台和实车平台上对提出的规划控制方法进行了试验。结果表明,相比传统的依据最近配送点策略确定的路径,所提出的方法搜索出的路径长度平均缩短了 6.15%。所设计的轨迹跟踪控制器能确保配送试验车与目标轨迹的横向偏差在 0.25 m 以内,航向角偏差在5°以内。