浅谈项目成本管理中的现金流技术

现金流在施工企业及其项目管理中的重要性不容置疑,在项目投标阶段及实施过程中,对现金流进行预测和干预的必要性不容争议。     

城轨虚拟编组关键性能指标及技术探讨

列车虚拟编组技术能够实现车辆资源的高效灵活利用,是解决轨道交通客流时空分布不均衡问题的有效方法,已成为国内外的研究热点。既有研究借鉴了汽车编队追踪的思路,主要关注于列车稳定追踪的相关方法,未能完全适应轨道交通的实际需求。针对城市轨道交通(简称“城轨”)虚拟编组研究的需要,深入分析城轨列车运行的特征,在此基础上总结提出包括站台停车时间差等在内的城轨列车虚拟编组应符合的技术性能指标;其次,针对虚拟编组的技术特征,提出包括大小交路和Y型线路等适合列车虚拟编组的潜在应用场景,并对实现虚拟编组的关键技术及其原理进行介绍,可为城轨列车虚拟编组研究提供参考。     

基于信号分析的Link16干扰策略研究

分析了Link16的信号特征,介绍了Link16编码方法和数据链信号的跳频方式.对干扰该系统的可行性进行了讨论,有针对性地提出了信号欺骗式干扰和同步段频点阻塞式干扰2种干扰方式.信号欺骗式干扰是在截获Link16信号基本参数后,生成并发出与Link16原始信号具有较强相关性的干扰信号,达到欺骗干扰的效果;Link16信号同步段只在8个频点上跳变,只要能将其中的5个频点阻塞,即可达到干扰效果.文章最后分析了干扰效果并给出了仿真结果.     

跟车模型及其稳定性分析综述

交通流的仿真是以车辆的行为作为研究对象,最终达到模拟不同条件下交通流的目的. 跟车模型是文通流仿真中采用的一个基本模型.综述了跟车模型的发展过程,介绍了不同的模 型及各种稳定性的分析方法,同时对该方向的研究与最新进展进行了分析和展望.     

An equilibrium-based network model for international container flows

The liner shipping industry is a highly complex system and is extremely sensitive to rapid changes in the environment. To facilitate decision-making in response to endogenous and exogenous shocks, this research develops a strategic network model based on equilibrium principles to analyze the international marine liner shipping network according to port charge, congestion level at the port, and load factor of the ship and estimates the possible container flows under different scenarios in the long run. The distribution model of container flows is extended from Beckmann's transformation. To calibrate the parameters employed in the model so that it offers greater fidelity in predicting container flows, we devise a descent direction-based heuristic. The proposed framework is empirically applied to various scenarios to validate the model and predict the flow pattern after significant events. By identifying these events’ potential impact on the maritime network, the presented model can help relevant stakeholders reduce uncertainty when shaping maritime policies so that they can seize opportunities to increase their competitiveness and maintain their advantage in the maritime market.     

A big data approach for clustering and calibration of link fundamental diagrams for large-scale network simulation applications

Existing methods for calibrating link fundamental diagrams (FDs) often focus on a limited number of links and use grouping strategies that are largely dependent on roadway physical attributes alone. In this study, we propose a big data-driven two-stage clustering framework to calibrate link FDs for freeway networks. The first stage captures, under normal traffic state, the variations of link FDs over multiple days based on which links are clustered in the second stage. Two methods, i.e. the standard k-means algorithm combined with hierarchical clustering and a modified hierarchical clustering based on the Fréchet distance, are applied in the first stage to obtain the FD parameter matrix for each link. The calibrated matrices are input into the second stage where the modified hierarchical clustering is re-employed as a static approach resulting in multiple clusters of links. To further consider the variations of link FDs, the static approach is extended by modifying the similarity measure through the principle component analysis (PCA). The resulting multivariate time-series clustering models the distributions of the FD parameters as a dynamic approach. The proposed framework is applied on the Melbourne freeway network using one-year worth of loop detector data. Results have shown that (a) similar roadway physical attributes do not necessarily result in similar link FDs, (b) the connectivity-based approach performs better in clustering link FDs as compared with the centroid-based approach, and (c) the proposed framework helps achieving a better understanding of the spatial distribution of links with similar FDs and the associated variations and distributions of the FD parameters.     

计算机编程在船舶交管系统中的应用

目前,随着航海技术和世界贸易的飞速发展,大型船舶和高速船舶日益增多,使得繁忙水域的船舶交通流管理越来越复杂,难度也越来越大,这一切迫使越来越多的人们试图运用计算机的高速计算功能来开发各种各样的船舶运动分析应用程序,以提高船舶交管系统的工作效率,改善船舶通航环境,确保船舶安全航行。笔者尝试用VB语言开发"船舶交通管理中船舶流分析程序"来探索计算机编程在船舶交通流控制与管理中的辅助应用问题。     

物流增加值与港口货物吞吐量对江苏GDP影响的定量分析

GDP代表一国或—个地区所有常住单位在一定时期内生产活动(包括产品和劳务)的最终成果,是国民经济在核算期内增加值的总和,是一国(或—个地区)经济健康与否的最重要依据。通过实证分析,可证明物流增加值与港口货物吞吐量与江苏GDP之间有明显的线性关系,因此保证江苏物流增加值与港口货物吞吐量的持续快速健康发展将对江苏GDP的持续快速健康发展起积极的促进作用。     

GSM-R网络小区半径和重叠区规划

随着GSM-R网络在中国铁路的广泛应用，网络预规划作为网络建设的一个重要步骤，得到了重视。结合铁路通信的特点，在高速和普速环境下，采用Hata模型对典型的5种地理环境进行建模，并结合链路平衡预算，给出小区覆盖半径的规划方法，同时，利用同频干扰与小区重叠区的关系，给出小区重叠区的规划方法。     

近自由表面浅水中水翼超空泡绕流的计算

本文在文献的基础上,对具有自由表面和浅底的水翼超空泡绕流,建立了在映像平面ξ-ψ上考虑重力效应的完整的变分原理。应用这个原理用有限元法能求得稳定收敛的数值结果,为二元水翼具有空泡、充气或遗迹流的水动力学计算开辟了另一新的数值求解的途径。