应用巴列特统计方法降低工程成本的实践

文章简述了巴列特（Pareto）统计分配法的基本要点，并结合天津港南疆工作船码头工程的施工实例，应用巴列特法进行了分析，明确了该工程中节省成本的重点项目、内容及节省成本的贡献率，从而有针对性地制定了相应的成本控制和节约措施，经过实践，收到了较好的效果。     

海图信息的压缩与恢复

用形态学方法对海图信息进行压缩和恢复，然后用游程编码对骨架进行编码和解码，达到用最少的空间存储最多的信息。     

ATP系统的MMI子系统在长春轻轨中的应用

本文介绍了应用在长春轻轨一期中ATP车载系统中的MMI子系统在系统试验调试和现场实际运营中具体实例。从硬件接口结构、软件模块接口详细分析介绍了MMI系统。     

对青藏线格拉段货物列车运行图方案的研究分析

通过研究,建立符合青藏线格拉段自然环境特征的运输组织体系,贯彻以人为本、注重环保的建设理念,尽量减少沿线车站分布,减少机构、人员,采用先进可靠的技术装备,提高效率,保证安全.旨在从满足运营要求和运输安全的角度,指导工程设计、建设,为运营开通后确定实际开站数量提供理论依据,为同类特殊地区的运输组织方式提供参考.     

MapX在电子海图中的应用与实现

研究MapX的特点,应用MapX实现了电子海图中GIS的功能,并以船舶监控系统中GIS分析部分为例,实现了图层操作,海图要素拾取、添加,船舶监控,轨迹回放等功能。     

钢制车体疲劳强度校核方法

介绍了在缺乏材料疲劳性能数据时进行钢制车体疲劳强度校核的方法,从静态应力极限值和焊接疲劳数据的选取、Goodman疲劳极限线图的绘制方法、常用焊接接头类型、疲劳许用应力极限的确定、设计应用等方面对该方法进行了讨论。     

Methods to reduce dimensionality and identify candidate solutions in multi-objective signal timing problems

Adjusting traffic signal timings is a practical way for agencies to manage urban traffic without the need for significant infrastructure investments. Signal timings are generally selected to minimize the total control delay vehicles experience at an intersection, particularly when the intersection is isolated or undersaturated. However, in practice, there are many other potential objectives that might be considered in signal timing design, including: total passenger delay, pedestrian delays, delay inequity among competing movements, total number of stopping maneuvers, among others. These objectives do not tend to share the same relationships with signal timing plans and some of these objectives may be in direct conflict. The research proposes the use of a new multi-objective optimization (MOO) visualization technique—the mosaic plot—to easily quantify and identify significant tradeoffs between competing objectives using the set of Pareto optimal solutions that are normally provided by MOO algorithms. Using this tool, methods are also proposed to identify and remove potentially redundant or unnecessary objectives that do not have any significant tradeoffs with others in an effort to reduce problem dimensionality. Since MOO procedures will still be needed if more than one objective remains and MOO algorithms generally provide a set of candidate solutions instead of a single final solution, two methods are proposed to rank the set of Pareto optimal solutions based on how well they balance between the competing objectives to provide a final recommendation. These methods rely on converting the objectives to dimensionless values based on the optimal value for each specific objectives, which allows for direct comparison between and weighting of each. The proposed methods are demonstrated using a simple numerical example of an undersaturated intersection where all objectives can be analytically obtained. However, they can be readily applied to other signal timing problems where objectives can be obtained using simulation outputs to help identify the signal timing plan that provides the most reasonable tradeoff between competing objectives.     

A Pareto-improving hybrid rationing and pricing policy with multiclass network equilibria

This paper extends the work on Pareto-improving hybrid rationing and pricing policy for general road networks by considering heterogeneous users with different values of time. Mathematical programming models are proposed to find a multiclass Pareto-improving pure road space rationing scheme (MPI-PR) and multiclass hybrid rationing and pricing schemes (MHPI and MHPI-S). A numerical example with a multimodal network is provided for comparing both the efficiency and equity of the three proposed policies. We discover that MHPI-S can achieve the largest reduction in total system delay, MHPI can induce the least spatial inequity and MHPI-S is a progressive policy which is appealing to policy makers. Furthermore, numerical results reveal that different classes of users react differently to the same hybrid policies and multiclass Pareto-improving hybrid schemes yield less delay reduction when compared to their single-class counterparts.     

航海气象传真图的降噪处理

气象传真图是船舶驾驶员预知航行区域的气象信息及海况的主要途径.受电磁波和收发装置的影响,气象传真图在传输、接收的过程中会产生高斯噪声和椒盐噪声,严重时会导致接收到的气象传真图模糊不清和失真,这会影响船舶驾驶员的分析和决策.为此,基于偏微分方程(PDE)建立数学模型,对含有噪声的气象传真图进行降噪处理,取得了明显的效果,这为提高气象传真图的质量提供了一种可行方法.同时,这种方法也可运用于船舶其它的电子图像设备(如电子海图,雷达,AIS),有效降噪、提高图像质量.     

航道水深实时监控系统的原理及实现方法

为了更好地掌握航道水深信息,引入了航道水深实时监控系统的概念。该系统是基于测深仪和AIS设备而构建的,系统由多个监控点和一个监控中心组成,监控点的测深仪采集到该点的水深数据后经过处理器调试送人AIS,由AIS将这些水深及位置信息发送出去,监控中心的AIS接收这些数据信息并将其经过解码处理之后在开发的电子海图上显示出来,从而实现水深的实时监控功能。该系统的组成、工作原理及其实现的方法通过理论分析及实验验证是可行的。