自主水下航行器制导系统的设计

简要介绍了某小型远程自主水下航行器制导系统的设计要求和软硬件实现方法,该制导系统已成功应用于211工程建设的自主水下航行器上。     

基于神经网络的无人无缆水下机器人运动建模与控制技术研究

对自主型水下机器人（ＡＵＶ）神经网络运动模型的结构进行了理论分析和探讨,提出了非完全回归型神经网络、增加积分层的输出层结构及相应的分步式学习方法。对ＡＵＶ运动过程中目标运动路径和目标运动速度的同时跟踪控制进行了系统研究。提出了由主控网络和伴随网络构成的神经网络控制器结构,给出了通过计算机模拟来生成教师样本的方法,提出了预测控制的思想。计算机仿真及水下机器人“Ｔｗｉｎ－Ｂｕｒｇｅｒ”的水池实验结果验证了本文所提出的建模方法和跟踪控制方法的有效性和可行性。     

The impacts of changing flight demands and throughput performance on airport delays through the Great Recession

Several significant events between 2007 and 2009 impacted flight demands and the abilities of the three major New York area airports to handle demand. This paper assesses the results of applying a probabilistic simulation method – which isolates the individual contributions of changes in flight demand and changes in airport throughput performance to changes in flight delays – to diagnose how these different events may have caused operational changes at these airports, and in turn, how the results may be used to inform policies for appropriate countermeasures. The analysis revealed two key observations. Firstly, certain patterns in throughput performance shifts caused the most significant delays, and were more likely to have been caused by controller staffing issues rather than caps. Secondly, relatively constant average delays from one year to the next may result from significant demand drops accompanied by large throughput performance degradations at an airport. This suggests that not only operational limitations on capacity encourage airlines to reduce schedules, but that changed demands can also impact throughput performance. Overall, the analysis indicates that caps may not have provided their fully intended delay benefits. Although they successfully reduced overall flight demands at LGA and JFK, they also directly limited throughput performance at critical times, in turn limiting delay benefits. In addition, demands at the busiest times of the day appear to be relatively inelastic to these operational limitations, insofar as demand profiles at EWR and JFK remained “peaky” in 2008 and 2009. Also, the recession was largely responsible for reducing demands at the airports in 2009, but the delay benefits of this were dampened by a corresponding throughput performance degradation. Based on the above observations, a more direct demand management policy combined with policies that focus on maintaining high staffing capabilities at critical times of the day may be considered, to reduce the likelihood of major queue formation on days that do experience sustained demands. The results also suggest that a more flexible caps system, particularly during times of heavy queues, could be explored. Although airport practitioners have keen understandings of how their airports operate, without the support of quantitative analysis tools, it can be more difficult to argue the need for appropriate countermeasures. An analysis such as the one presented here can provide the detailed quantitative substantiation required to build cases for these targeted policy directives and infrastructure investments.     

Towards a generic benchmarking platform for origin–destination flows estimation/updating algorithms: Design,demonstration and validation

Estimation/updating of Origin–Destination (OD) flows and other traffic state parameters is a classical, widely adopted procedure in transport engineering, both in off-line and in on-line contexts. Notwithstanding numerous approaches proposed in the literature, there is still room for considerable improvements, also leveraging the unprecedented opportunity offered by information and communication technologies and big data. A key issue relates to the unobservability of OD flows in real networks – except from closed highway systems – thus leading to inherent difficulties in measuring performance of OD flows estimation/updating methods and algorithms. Starting from these premises, the paper proposes a common evaluation and benchmarking framework, providing a synthetic test bed, which enables implementation and comparison of OD estimation/updating algorithms and methodologies under “standardized” conditions. The framework, implemented in a platform available to interested parties upon request, has been flexibly designed and allows comparing a variety of approaches under various settings and conditions. Specifically, the structure and the key features of the framework are presented, along with a detailed experimental design for the application of different dynamic OD flow estimation algorithms. By way of example, applications to both off-line/planning and on-line algorithms are presented, together with a demonstration of the extensibility of the presented framework to accommodate additional data sources.     

Optimization models for differentiating quality of service levels in probabilistic network capacity design problems

This paper develops various chance-constrained models for optimizing the probabilistic network design problem (PNDP), where we differentiate the quality of service (QoS) and measure the related network performance under uncertain demand. The upper level problem of PNDP designs continuous/discrete link capacities shared by multi-commodity flows, and the lower level problem differentiates the corresponding QoS for demand satisfaction, to prioritize customers and/or commodities. We consider PNDP variants that have either fixed flows (formulated at the upper level) or recourse flows (at the lower level) according to different applications. We transform each probabilistic model into a mixed-integer program, and derive polynomial-time algorithms for special cases with single-row chance constraints. The paper formulates benchmark stochastic programming models by either enforcing to meet all demand or penalizing unmet demand via a linear penalty function. We compare different models and approaches by testing randomly generated network instances and an instance built on the Sioux–Falls network. Numerical results demonstrate the computational efficacy of the solution approaches and derive managerial insights.     

The perception of Bus Rapid Transit: a passenger survey from Beijing Southern Axis BRT Line 1

Bus Rapid Transit (BRT) has emerged as a cost-effective transport system for urban mobility. As a relatively new form of Mass Transit, its ability to provide a high-quality transport service and potential to stimulate land development remain largely unexplored. This study intends to investigate the public attitude towards BRT services, as well as respondents’ perception of living near BRT stations, using the Beijing Southern Axis BRT system as a case study. A data-set of responses to 525 questionnaires were assembled and analysed using a combination of statistical techniques. The results show that BRT has gained great popularity among passengers, and brought about a positive impact on the attractiveness of residential property. The data identify that the majority of passengers are work-related commuters and use BRT more than once a day. The captive users have a higher satisfaction than choice users with respect to reliability, comfort & cleanliness and overall satisfaction with the BRT service. It is argued that the BRT has significantly improved the attractiveness of residential property along the BRT corridor.     

CFC复频电导法与TEM瞬变电磁法在某隧道中的应用对比

CFC复频电导法与TEM瞬变电磁法是我国目前较为先进的隧道超前探水技术。以CFC与TEM在我国某铁路隧道中的应用为例,简述CFC与TEM的方法原理,并结合开挖实际情况进行对比。试验对比表明,CFC探水技术抗干扰能力更强,探水预报结果更为准确,特别是在电磁环境复杂的隧道。     

九岭山隧道塌方治理及塌方治理效果检测

武吉高速公路九岭山隧道是大庆至广州国家高速公路的重要控制性工程,当隧道开挖至ZK102 217时出现了塌方,滑塌范围高约19 m、宽约13 m,塌方量为4 000 m3。根据现场地质条件,分析认为围岩结构(弱风化板岩,钙质或硅质胶结,岩质坚硬,呈块状镶嵌结构)及地下裂隙水是产生塌方的主要原因。采用的处理措施是加强区段支护、回填塌腔、提高松散体的整体强度,并采用"稳住塌方区、固结塌体、超前加固"的分阶段处理方法。施工中采用φ42超前小导管超前支护、φ42系统小导管压浆固结等措施;开挖采用正台阶法以及拱脚加设锁脚小导管、侧壁施作中空注浆锚杆等措施;通过地质雷达无损检测手段对塌方处理效果进行检测,并根据检测结果进行二次处理。     

衬砌脱空雷达波数值模拟与定量解释

地质雷达是隧道衬砌脱空病害检测主要方法,常规探测理论是以菲涅尔带半径为最终空间分辨率,小于该半径的脱空不能识别,而大于该半径的脱空在定量解释上也存在困难。针对隧道脱空检测常用900 MHz天线,采用时域有限差分对不同脱空量的模型进行雷达波数字模拟计算,并合成雷达记录剖面。在分析脱空区域顶、底反射叠加波形特征及振幅变化的基础上,给出不同脱空量模型的波形双峰极值点幅度变化规律,提出基于极值点振幅比反演脱空量的解释策略,并给出反演结果的拟合算法。该策略不仅为脱空区脱空量分析提供一条途经,同时为地质雷达在脱空定量解释方面提供有效的技术手段。     

The clinical analysis of three methods in the treatment of intracranial bacterial infection

Objective To analyze the effect of three therapeutic methods to find an optimal approach to the treatment of intracranial bacterial infection by retrospectively reviewing 33 intracranial bacterial infection patients who were admitted from 1995 to 2008 in oar hospital. Methods The treatments by intermittent lumbar puncture,continuous lumbar subarachnoid space drainage, and embedment of Ommaya cyst for continuous drainage from the ventricles were performed in 15 cases, 12 cases, and 6 cases respectively along with intravenous application of full dose of antibiotics. Results Nineteen cases were cured and the best prognosis was from the group of Ommaya cyst embedment and continuous drainage from the ventricles. Conclusion Management goals are prompt recognition of the central nervous system (CNS) infection, rapid identification of causative organisms and initiation of treatment with the optimal management methods for complications. Embedment of Ommaya cyst for continuous drainage from the ventricle is a safe and effective treatment for intracranial bacterial infection.