国际航运物流虚拟联盟伙伴选择研究

提出了国际航运物流虚拟联盟的概念,介绍了国际航运物流虚拟联盟合作伙伴的选择程序。根据合作伙伴选择评价的原则和我国航运物流企业的现状,初步构建了国际航运物流虚拟联盟合作伙伴的选择评价指标体系,然后采用调查问卷的形式,对选择评价指标体系进行了修正。以鼎盛航运物流公司为例,采用层次分析法(AHP)对国际航运物流虚拟联盟进行了实证分析,结果合理、实用。     

船舶横摇非线性运动最大值预报

横摇运动振幅渐近分布属于指数型分布，根据应用Markov过程理论得到的极值分布推导了最大值分布公式，同时提出了最大值预报方法。计算表明用此方法预报的最大值与实际统计的最大值非常接近，它比用线性理论预报的最大值误差要小，证明本文提出的最大值预报方法是可行的。     

基于系统工程的海上交通安全问题研究

此文在系统工程的基础上,采用Reason模型,从船员—船舶—环境—管理四个环节来分析海上交通运输安全问题,并提出相关对策和建议,以提高安全管理水平,降低船舶事故的发生率,促进海上交通运输的安全发展、和谐发展。     

“If I Walked on my Own at Night I Stuck to Well Lit Areas.” Gendered spaces and urban transport in 20th century Britain

Using photographs, this paper explores the gendered link between transport and the urban environment. It becomes apparent that moving around in urban spaces is an experience which is or can be fundamentally different for women and men. From pictures I conclude that a historical analysis of gender and urban transport ought to be a straightforward task to undertake: women are clearly visible in the visual record of the transport environment. However, a look at the historiography shows that research on gendering the city mostly deals with workplaces, women’s employment, class and race segregation in urban areas, welfare programmes specially designed to helped women, urban housing and marginalisation of women, housewives, healthcare, homeless women and politics. Gender and transport is hardly to be found: how women move and moved through urban space has not received sustained attention. Further, the main body of scholarly texts lacks in historical concern, stemming from such diverse disciplines as sociology, geography, economic and political sciences, women’s studies and planning.     

基于Gb接口信令分析的深圳站进路预告故障处理

进路预告信息通过GPRS网络传递,是CTC与CIR之间传输的重要业务之一,是保障铁路运输安全的重要手段。围绕广深线深圳站进路预告接收异常问题,进行故障定位,判断为因CIR发生小区重选导致短暂脱网丢包,从而影响到深圳站进路预告接收,为此提出调整天线倾角及重选参数的优化方案,为相关铁路单位运维工作提供参考。     

On the fundamental diagram for freeway traffic: A novel calibration approach for single-regime models

The speed-density or flow-density relationship has been considered as the foundation of traffic flow theory. Existing single-regime models calibrated by the least square method (LSM) could not fit the empirical data consistently well both in light-traffic/free-flow conditions and congested/jam conditions. In this paper, first, we point out that the inaccuracy of single-regime models is not caused solely by their functional forms, but also by the sample selection bias. Second, we apply a weighted least square method (WLSM) that addresses the sample selection bias problem. The calibration results for six well-known single-regime models using the WLSM fit the empirical data reasonably well both in light-traffic/free-flow conditions and congested/jam conditions. Third, we conduct a theoretical investigation that reveals the deficiency associated with the LSM is because the expected value of speed (or a function of it) is nonlinear with regard to the density (or a function of it).     

Fine-grained OD estimation with automated zoning and sparsity regularisation

Given a road network, a fundamental object of interest is the matrix of origin destination (OD) flows. Estimation of this matrix involves at least three sub-problems: (i) determining a suitable set of traffic analysis zones, (ii) the formulation of an optimisation problem to determine the OD matrix, and (iii) a means of evaluating a candidate estimate of the OD matrix. This paper describes a means of addressing each of these concerns. We propose to automatically uncover a suitable set of traffic analysis zones based on observed link flows. We then employ regularisation to encourage the estimation of a sparse OD matrix. We finally propose to evaluate a candidate OD matrix based on its predictive power on held out link flows. Analysis of our approach on a real-world transport network reveals that it discovers automated zones that accurately capture regions of interest in the network, and a corresponding OD matrix that accurately predicts observed link flows.