Sustainability and interactivity between cities and ports: a two-stage data envelopment analysis (DEA) approach

Ports and cities are intrinsically linked. Port city, which serves as a link between the local and global economy, is an integration of both urban and port systems. Constrained by different regional structures, port cities have developed various formulations over time. Using a two-stage data envelopment analysis (DEA) approach, this paper proposes a new method for measuring the sustainable development of different port city systems. While the previous empirical studies often separate the port system and the urban system, this paper assesses the two systems in an integrated way. Moreover, this paper develops a systematic methodology for measurement of sustainability. Twenty world-leading container port cities are selected for this study using contemporary data. The DEA results display their relative differences in levels of sustainable development, which reveal the effectiveness of the prevailing policies in them. Eventually, recommendations are drawn for other port cities by referring to the best practices.     

面向智能船舶的容错卡尔曼融合估计方法

针对智能船舶多传感器系统因未知海洋环境干扰和设备间干扰等因素导致的一个或数个传感器产生随机间歇性故障从而导致融合估计结果出现偏差甚至失真的问题,设计1种基于四分位滤波的容错方法,并针对该方法导致的观测时滞问题设计1种预报方法,提前预报观测值,进而抵消容错方法导致的时滞问题。此外,针对多传感器之间的互协方差难以准确估计的问题,采用CI融合估计方法进行融合估计。为验证算法的有效性和融合估计的精度,对带有间歇性故障的两传感器系统进行仿真试验,并与按矩阵、按对角阵和按标量3种分布式融合估计方法得到的结果进行对比。4种方法的均方误差系数大小对比结果显示,对于带间歇性故障的多传感器系统,设计的融合滤波不仅具有鲁棒性,而且具有较高的融合精度。     

智能船舶集成设计技术

针对符合CCS《智能船舶规范》入级符号的船舶设计开发,研究分析智能船舶集成设计技术的设计思想、设计要素、设计框架和关键技术,设计目标船解决方案,并讨论了未来需要突破技术方向。     

特大型耙吸挖泥船研制及工程应用

针对特大型耙吸挖泥船多工况、大舱容、大挖深、精确与高效控制及良好的航行性能等问题,进行船型、系列化耙头、高效泥泵、耙臂泵和控制系统的研究。采用理论研究、大比例尺模型试验、实船验证等多种研究方法,解决了限制特大型耙吸挖泥船国产化的技术瓶颈。在上述研究成果的基础上,设计建造了2艘特大型耙吸挖泥船,两船服务于我国多个重大港口航道工程,经济和社会效益显著。     

水泥稳定砂砾就地冷再生工艺及其节能环保意义

道路损坏后路基和路面材料的再生利用不仅能够节约大量宝贵的筑路材料,而且具有重要的环境保护意义。采用冷再生技术将原有旧路面材料以专用机械作业方式进行就地再生,并将其作为水泥稳定砂砾摊铺在原有道路上并作为新铺道路的基础是实现上述理念的成功尝试。     

An adaptive information fusion model to predict the short-term link travel time distribution in dynamic traffic networks

As intelligent transportation systems (ITS) approach the realm of widespread deployment, there is an increasing need to robustly capture the variability of link travel time in real-time to generate reliable predictions of real-time traffic conditions. This study proposes an adaptive information fusion model to predict the short-term link travel time distribution by iteratively combining past information on link travel time on the current day with the real-time link travel time information available at discrete time points. The past link travel time information is represented as a discrete distribution. The real-time link travel time is represented as a range, and is characterized using information quality in terms of information accuracy and time delay. A nonlinear programming formulation is used to specify the adaptive information fusion model to update the short-term link travel time distribution by focusing on information quality. The model adapts good information by weighing it higher while shielding the effects of bad information by reducing its weight. Numerical experiments suggest that the proposed model adequately represents the short-term link travel time distribution in terms of accuracy and robustness, while ensuring consistency with ambient traffic flow conditions. Further, they illustrate that the mean of a representative short-term travel time distribution is not necessarily a good tracking indicator of the actual (ground truth) time-dependent travel time on that link. Parametric sensitivity analysis illustrates that information accuracy significantly influences the model, and dominates the effects of time delay and the consistency constraint parameter. The proposed information fusion model bridges key methodological gaps in the ITS deployment context related to information fusion and the need for short-term travel time distributions.     

A model for the visualization and analysis of elevator traffic

ABSTRACT

Analysis of elevator traffic in high rise buildings is critical to the performance evaluation of elevator group control systems (EGCS). Elevator dispatching methods or parking algorithms in an EGCS can be designed or modified according to analyses of traffic flow. However, interpretation of traffic flow based solely on numerical data may not be explicit and transparent for EGCS experts as well as for other non-expert building administration. In this study, we present a model for visualization and analysis of elevator traffic. First, we present an alternative approach for traffic analysis which we call route visualization. In the proposed approach, we initially decompose elevator traffic into its component parts and investigate each component independently. Then, using superposition of components we obtain a reconstructed model of overall traffic. This modeling approach provides component-based traffic analysis and representation of routes with intensities through data visualization. In the second part we introduce a multi-dimensional analysis of time parameters in ECGS. This approach provides a comparative analysis of several control algorithms such as dispatch or park algorithms for different combinations of traffic components.     

旧水泥混凝土路面冲击碾压技术初探

文章结合G206国道宿州至怀远段旧水泥混凝土路面改造施工实例,介绍了冲击碾压施工的原理、特点、质量控制措施及安全文明施工注意事项,并分析了冲击碾压施工中存在的问题与对策,为类似工程的改造施工提供参考。     

共和乌江特大桥预应力施工质量控制方法

文章结合渝湘高速公路共和乌江特大桥工程实例,从管道定位、穿束、预应力张拉、灌浆及封锚等方面入手详细介绍了大跨度连续刚构桥箱梁预应力施工的技术要点及质量控制措施,为今后类似桥梁工程的预应力施工提供借鉴。     

船舶物流技术发展探究

本文系统梳理了我国船舶物流技术的发展现状及其成因,进而提出了船上物流标准化、信息化、自动化和智能化的总体发展方案,尤其是融合发展策略,将助推船舶物流技术的发展。