A knowledge-transfer-based learning framework for airspace operation complexity evaluation

A sector is a component airspace whose operation is allocated to an air traffic controller. The operation complexity of a sector plays a critical role in the current Air Traffic Management system, e.g. it determines the workload volume of air traffic controllers and serves as a reliable index for airspace configuration and traffic flow management. Therefore, accurately evaluating the sector operation complexity is a problem of paramount importance in both practice and research. Due to numerous interacting factors, traditional methods based on only one single complexity indicator fail to accurately reflect the true complexity, especially when these factors are nonlinearly correlated. In light of these, the attempt to use machine learning models to mine the complex factor-complexity relationship has prevailed recently. The performance of these models however relies heavily on sufficient samples. The high cost of collecting ample data often results in a small training set, adversely impacting on the performance that these machine learning models can achieve. To overcome this problem, this paper for the first time proposes a new sector operation complexity evaluation framework based on knowledge transfer specifically for small-training-sample environment. The proposed framework is able to effectively mine knowledge hidden within the samples of the target sector, i.e. the sector undergoes evaluation, as well as other sectors, i.e. non-target sectors. Moreover, the framework can properly handle the integration between the knowledge derived from different sectors. Extensive experiments on real data of 6 sectors in China illustrate that our proposed framework can achieve promising performance on complexity evaluation when only a small training set of the target sector is available.     

Cranes scheduling in frame bridges based automated container terminals

This paper investigates crane scheduling problems for a new type of automated container terminal system, which is based on multi-storey frame bridges. For the new design concept, this paper studies how to schedule two types of cranes, i.e., quay cranes and bridge cranes that transfer containers between different storeys. The schedules of these two types of cranes impact the operation efficiency of the terminal system. Mathematical models are proposed for the two scheduling problems. Meta-heuristics are developed to solve them. Numerical experiments are conducted to validate the effectiveness of the proposed models and the efficiency of the proposed solution method.     

城市轨道交通空载试运行解析及优化措施

空载试运行阶段是城市轨道交通新线投入试运营前的核心阶段,对新线安全稳定地运行起着关键作用。通过对新线空载试运行的组织要求、实施前置条件、总体计划安排、试运行跑图、试运行基本条件评审准备等方面进行分析,提出完整的空载试运行组织思路及优化措施。     

5T设备轨边装置状态检查系统

介绍了5T设备轨边装置状态检查系统的技术性能、工作原理和运用情况。     

Cyclic plastic deformation of overbend pipe during deepwater S-lay operation

In deepwater S-lay operations, the combined influences of stinger curvature, axial tension and roller support force can induce very large plastic deformation in the pipe. Dynamic loads from vessel motion and pipe sliding down the stinger lead the cyclic plastic deformation. This paper investigates the cyclic plastic stress history of the overbend pipe subjected to the dynamic pipelaying loading. The dynamic roller support forces are obtained through an innovative large scale hybrid substructure experiment constructed to simulate the pipe-stinger impact behavior. The measured roller forces are used to verify a 3D finite element analysis results developed with ABAQUS/Standard to observe the dynamic pipe stress history. The results confirm that the roller support can induce stress concentration in the pipe and the combined dynamic pipelaying loadings can cause extensive cyclic plastic deformation.     

Bus rapid transit operation analysis using the Downs–Thomson paradox

The purpose of the paper is to analyze effectiveness before and after implementation of the bus rapid transit operation. The paper includes a speed analysis based on the Downs–Thomson paradox, and a reliability analysis based on variance analysis of arrival time. According to the speed analysis, some road sections are now under phase 2 in the Downs–Thomson paradox, which is a state in which the bus speeds are greater than the auto speeds. In the future, it is predicted that autos and buses will reach an equilibrium speed which is in phase 3 of the multi‐modal equilibrium theory. According to the reliability analysis of arrival time at each bus stop, in roads of median arterial bus lanes, the variance of arrival time is generally smaller than after the scheme implemented in 8 months later. Copyright © 2010 John Wiley & Sons, Ltd.     

上海轨道交通10号线无人驾驶运营管理组织方案的设想

上海轨道交通10号线是按照列车全自动无人驾驶模式设计的,系统高度集成、集中监控,运营要求按照"快速保障、精简高效"的理念。但10号线实现无人驾驶模式后,由于种种原因,其运营管理仍按照有人驾驶模式运作,未体现无人驾驶系统在诸多方面的优势。借鉴新加坡无人驾驶线路的运营模式,立足于10号线无人驾驶的实际情况,从运营保障专业化、服务标准化、管理规范化的运营要求出发,本着精简、高效、实用的原则,提出运营管理组织模式的优化策略,以期为无人驾驶模式的发展和完善提供科学依据。     

COP显示系统中三维技术的缺陷及改进研究

针对通用作战图（Common Operation Picture,COP）显示系统中三维视图在精确判定相对位置时容易产生误判断的问题,深入分析了问题产生的原因,构建了视觉比例误差模型,提出了误差预测控制方案,该方案对各种视角下的误差程度进行了预测,并给出了醒目的提示,极大的降低了用户在使用三维视图获取战场态势时容易出现误判断的可能性;针对三维图标辨识度不高的问题,综合三维图标和二维图标的优点,提出了一种混合式的图标表示法,实际使用表明,该混合式图标表示法有效提高了COP系统的使用效率和准确性。     

上海城市轨道交通网络化建设的实践和对策

随着上海城市轨道交通网络化建设的迅速推进，如何进行统筹规划和资源共享已经成为网络化过程中的关键问题。通过上海城市轨道交通建设的实践，提出了网络换乘车站的解决方案及网络控制中心、主变电站和车辆基地等网络资源共享的设计方案，以及网络中传输与交换系统、票务系统、无线通信系统和网络信号系统等机电设备系统的解决对策。指出了网络化运营管理的总体目标和思想，论述了网络化运营管理构架、安全保障机制和维修保障方式。