A methodology for classification by priority for action: Selecting road stretches for network noise action plans

Road traffic noise is an element of outstanding importance within the overall context of environmental impact. This problem must be technically addressed from an efficient viewpoint, and solutions or alternatives should be considered by means of appropriate and consolidated procedures.Up to now, there is no regulated guideline for establishing well-founded priorities when dealing with the diverse road stretches included in the corresponding Action Plans against noise under the Environmental Noise Directive (2002/49/EC). To this end, the present study proposes a methodology to sort, by priority, road stretches identified by their noise problems and therefore requiring appropriate action. The methodology is based on the so-called “road stretch priority index” (henceforth referred to as RSPI). This index involves a number of variables (called “road stretch priority variables”) that are weighted according to their influence on the road traffic noise problem. Thus, the RSPI makes it possible to prioritize different stretches of the Action Plan. To illustrate the application of the proposed methodology, this paper also describes a real case entailing a difficult choice, applying the proposed methodology to a review of the Action Plan against Noise 2008–2012 in the province of Almería, for the road network of the regional government of Andalusia, Spain.     

Representing mental maps and cognitive learning in micro-simulation models of activity-travel choice dynamics

This paper develops a model, based on Bayesian beliefs networks, for representing mental maps and cognitive learning into micro-simulation models of activity-travel behavior. Mental maps can be used to address the problem that choice sets in models of travel demand are often ad hoc specified. The theory underlying the model is discussed, a specification is derived and numerical simulation is used to illustrate the properties of the model.     

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提出了以随机A*算法为基础，运用遗传算法来求解不满足先进先出原则的动态网络中最短路径问题的思路，其中通过运用提出的随机Dijkstra算法解决了将遗传算法应用于最短路径问题中的最大障碍－初始种群的产生。最后，以广州市电子地图为基础，对提出的算法进行了验证，试验结果表明遗传算法适合求解非常态且不满足先进先出原则的动态网络中的路径诱导问题。     

向量优化问题的严有效解的最优性条件

在局部凸Hausdorff拓扑向量空间中,研究了集值映射向量优化问题的严有效解.首先,在广义锥次似凸集值映射下,获得了向量优化问题的严有效解的标量化的特性,最后,获得了带广义不等式约束向量优化问题的严有效解的Lagrange型最优性条件.     

协同理论在集装箱物流中的应用

阐述协同、自组织概念及协同理论,在此基础上,论述有竞争力的集装箱物流建立在协同思想上的、要求集装箱物流节点企业开展信息共享和合作的一种新型物流模式,并给出基于Web Service框架的集装箱物流协同管理解决方案的简单原型。     

Map-induced journey-planning biases for a simple network: A Docklands Light Railway study

A usability study was conducted to identify the most effective prototype Docklands Light Railway map for installation on trains. This comprised a series of tasks that required station finding and also planning of routes between pairs of stations, with response time and accuracy as measures of performance. In addition, subjective ratings of map design were collected via questionnaire-based evaluations, and also ranked preferences between designs. A clear best-option was easily identifiable as a result of this research. The existing design was associated with the most journey planning errors, and two of the prototypes were associated with inefficient journey choices. The latter finding suggested that respondents were using unsophisticated planning strategies that were put at a disadvantage by certain route depictions. This has wider implications for suggestions that schematic maps should maintain topographical relationships in order to facilitate appropriate journey choices, with the danger that the inevitable increased complexity of line trajectories for such designs would simultaneously reduce the ability of passengers to identify the most appropriate routes.     

耶鲁藏中国古航海图的绘制特点

耶鲁大学所藏中国古航海图的主体内容是山屿岛礁图,主要描绘山峰、岛屿的侧面形状.这是航海图一种比较原始的表示方式,其起源很早,在宋代的文献中已有记载.这种表示方法对后来的航海图有较大的影响,近代航海图上的对景图就是从山屿岛礁图演变而来.此外,耶鲁图中有4幅表示了南海诸岛的地图,他们的表示方法有与其它图幅不同的特点.     

向量优化问题的严有效解的最优性条件

在局部凸Hausdorff拓扑向量空间中,研究了集值映射向量优化问题的严有效解.首先,在广义锥次似凸集值映射下,获得了向量优化问题的严有效解的标量化的特性,最后,获得了带广义不等式约束向量优化问题的严有效解的Lagrange型最优性条件.     

GPS实时地图匹配技术中缓冲区分析的研究

GPS数据如何实时地与GIS地图数据匹配已经成为GPS车辆导航系统中的关键问题之一。通过对GPS车辆导航中地图匹配问题的研究,认为可以采用误差缓冲区分析方法对GPS动态定位数据与GIS地图数据进行地图匹配。在实际应用中业已证明该方法效率高、可操作性强,有利于提高GPS车辆导航系统在应用中的精度和可靠性。