地铁柔性接触网线岔检调标准的制定与应用

根据以往运行经验,结合西安地铁2号线的实际情况,从支柱定位、线岔交叉点、始触区、接触线高度、线岔定位拉出值等方面,对柔性接触网线岔的检调标准进行深入研究、分析并加以明确。将所定标准实际应用在西安地铁渭河车辆段接触网的建设中,顺利通过了接触网的冷滑、热滑试验及实际运行的考验。同时,将所定部分标准与国铁普速接触网线岔检调标准进行对比,以供有关接触网生产和技术人员参考。     

闽江下游堤防护岸工程施工技术

阐述福建闽江下游堤防护岸工程的原状和维修的必要性 ,提出护岸工程中水下护脚和水上护坡的几种不同结构形式和施工技术并对各自的适用性和优缺点进行评述     

Travel time estimation from sparse floating car data with consistent path inference: A fixed point approach

Estimation of urban network link travel times from sparse floating car data (FCD) usually needs pre-processing, mainly map-matching and path inference for finding the most likely vehicle paths that are consistent with reported locations. Path inference requires a priori assumptions about link travel times; using unrealistic initial link travel times can bias the travel time estimation and subsequent identification of shortest paths. Thus, the combination of path inference and travel time estimation is a joint problem. This paper investigates the sensitivity of estimated travel times, and proposes a fixed point formulation of the simultaneous path inference and travel time estimation problem. The methodology is applied in a case study to estimate travel times from taxi FCD in Stockholm, Sweden. The results show that standard fixed point iterations converge quickly to a solution where input and output travel times are consistent. The solution is robust under different initial travel times assumptions and data sizes. Validation against actual path travel time measurements from the Google API and an instrumented vehicle deployed for this purpose shows that the fixed point algorithm improves shortest path finding. The results highlight the importance of the joint solution of the path inference and travel time estimation problem, in particular for accurate path finding and route optimization.     

港珠澳大桥建设对珠三角地区物流业的影响

港珠澳大桥将改变珠江口东西两岸之间的空间运输联系方式,从而改变整个珠三角地区的物流格局.从珠三角地区城市空间布局结构、产业特点出发,总结珠三角地区物流业特点,对港珠澳大桥影响珠三角物流格局的途径进行介绍；并逐一分析港珠澳大桥建成后对香港、深圳、珠海等珠三角主要城市物流业的不同影响.     

Extreme hawser tension assessment for FPSO vessel during offloading operation in Bohai bay

The Floating Production Storage and Offloading Unit (FPSO) is an offshore vessel that produces and stores crude oil prior to tanker transport.Robust prediction of extreme hawser tensions during Floating Production Storage and Offloading (FPSO) operation is an important safety concern. Excessive hawser tension may occur during offloading operations, posing an operational risk. In this paper, AQWA has been used to analyze vessel response due to hydrodynamic wave loads, acting on a specific FPSO vessel under actual sea conditions. Experimental validation of numerical results has been discussed as well.This paper advocates methodology for estimating extreme response statistics, based on simulations (or measurements). The modified ACER (averaged conditional exceedance rate) method is presented in brief detail. Proposed methodology provides an accurate extreme value prediction, utilizing all available data efficiently. In this study the estimated return level values, obtained by ACER method, are compared to the corresponding return level values obtained by Gumbel method. Based on the overall performance of the proposed method, it is concluded that the improved ACER method can provide more robust and accurate prediction of the extreme hawser tension.Data declustering issue has been addressed. Paper highlights ability of ACER method to account for a set of varying sea state probabilities, as required in engineering long term statistical analysis.Described approach may be well used at the vessel design stage, while defining optimal vessel parameters that would minimize potential FPSO hawser tension.     

考虑游览船运营特征的航道通过能力评价方法

为构建客货船舶协同动态运行控制技术体系，以经典航道通过能力模型为基础，构建基于游览船运营特征(发船高峰性和航线集中度)的航道通过能力模型.根据黄浦江游览核心区船舶自动识别系统(AIS)数据，对所提出的航道通过能力模型进行实证分析.研究结果表明，本文航道通过能力模型能够较为准确地评价研究区域的实际航道通过能力.游览船发船高峰时期与现有航线规划条件下，黄浦江游览核心区航道通过能力(76艘/h)趋近饱和状态；当过境船到达超过69艘/h时，建议海事相关部门采取“错峰”航行等相关政策.     

Heteroscedastic Gaussian processes for uncertainty modeling in large-scale crowdsourced traffic data

Accurately modeling traffic speeds is a fundamental part of efficient intelligent transportation systems. Nowadays, with the widespread deployment of GPS-enabled devices, it has become possible to crowdsource the collection of speed information to road users (e.g. through mobile applications or dedicated in-vehicle devices). Despite its rather wide spatial coverage, crowdsourced speed data also brings very important challenges, such as the highly variable measurement noise in the data due to a variety of driving behaviors and sample sizes. When not properly accounted for, this noise can severely compromise any application that relies on accurate traffic data. In this article, we propose the use of heteroscedastic Gaussian processes (HGP) to model the time-varying uncertainty in large-scale crowdsourced traffic data. Furthermore, we develop a HGP conditioned on sample size and traffic regime (SSRC-HGP), which makes use of sample size information (probe vehicles per minute) as well as previous observed speeds, in order to more accurately model the uncertainty in observed speeds. Using 6 months of crowdsourced traffic data from Copenhagen, we empirically show that the proposed heteroscedastic models produce significantly better predictive distributions when compared to current state-of-the-art methods for both speed imputation and short-term forecasting tasks.     

基于弧形踏面车轮的浮式装船机运行机构改造

针对浮式装船机的运行机构实际使用的问题,文章在分析运行机理的基础上,提出了弧形运行机构实现的难点所在,并结合弧形踏面车轮的使用经验提出了具体的改造措施,对浮式装机船运行机构的研究与使用具有一定的借鉴意义     

Dynamic demand estimation and prediction for traffic urban networks adopting new data sources

Nowadays, new mobility information can be derived from advanced traffic surveillance systems that collect updated traffic measurements, both in fixed locations and over specific corridors or paths. Such recent technological developments point to challenging and promising opportunities that academics and practitioners have only partially explored so far.The paper looks at some of these opportunities within the Dynamic Demand Estimation problem (DDEP). At first, data heterogeneity, accounting for different sets of data providing a wide spatial coverage, has been investigated for the benefit of off-line demand estimation. In an attempt to mimic the current urban networks monitoring, examples of complex real case applications are being reported where route travel times and route choice probabilities from probe vehicles are exploited together with common link traffic measurements.Subsequently, on-line detection of non-recurrent conditions is being recorded, adopting a sequential approach based on an extension of the Kalman Filter theory called Local Ensemble Transformed Kalman Filter (LETKF).Both the off-line and the on-line investigations adopt a simulation approach capable of capturing the highly nonlinear dependence between the travel demand and the traffic measurements through the use of dynamic traffic assignment models. Consequently, the possibility of using collected traffic information is enhanced, thus overcoming most of the limitations of current DDEP approaches found in the literature.     

马鞍山长江公路大桥钢塔线形控制技术

马鞍山长江公路大桥左汊主桥为（360＋2×1080＋360） m的三塔两跨悬索桥，中塔采用钢－混叠合、塔梁固结门式结构，下塔柱为预应力钢筋混凝土结构，上塔柱为钢结构，钢塔共分21个节段，首节采用浮吊安装，标准节段长6 m ，最大起吊重达235 t ，采用塔吊进行安装。为确保钢塔线形满足要求，对影响钢塔安装精度因素进行分析，形成以控制钢塔制造质量为核心、钢塔首节段安装精度为基础的线形控制流程，对钢塔节段进行工厂制造控制和现场安装控制。工厂制造控制包括零部件加工、块体制作、节段组拼、端面机加工、预拼装；现场安装控制包括首节段安装、标准节段安装、横梁与钢塔的连接。实践表明，该桥采用以控制钢塔制造精度为核心的钢塔线形控制技术进行钢塔架设施工，施工过程中钢塔制造精度和安装精度满足要求，实现了钢塔线形控制的目的。