一种基于激光与视频信息时空数据融合的行人检测方法

针对城市交通行人安全问题,本文提出了一种基于激光与视频数据融合的行人检测方法.通过激光与视频数据空间和时间上的融合,将激光数据映射到图像坐标;在激光聚类过程中,采用K-means 聚类算法对激光云点进行聚类分析,然后运用行人宽度模型提取候选行人区域;在基于图像的行人检测过程中,选取头肩、躯干以及腿部人体特征部位,采用Haar-like 特征集和Boosting 算法进行训练,得到部位检测器;最后,基于贝叶斯决策的组合策略对候选行人区域进行有效判定.实验结果表明,本文所述算法有较好的检测精度和实时性能.     

Application of multiple criteria decision making for network improvement

In this paper we propose application of multiple criteria decision making to problems of a metropolitan network improvement plan. Initially, a bilevel multiple objective network design model is considered in two objectives which are minimal government budget and minimal total travel time of road users. We seek feasible improvement alternatives among those bottleneck links in an existing road network structure and travel demand. We present an effective heuristic algorithm to obtain noninferior solutions; then ELECTRE III multiple criteria decision making and group decision making are used to evaluate and to select a compromise solution among those noninferior solutions. From the design phase in multiple criteria decision making, multiple objective mathematical programming is used to formulate a continuous network design model. However, from the phase of evaluation, multiple criteria decision making to solve the discrete network design problem. The network of metropolitan Taipei is taken as an example to illustrate the operation of this model.     

铁路中间站选址智能辅助决策系统的研究

在分析铁路车站选址问题的决策思路和相关因素后，提出了车站选址问题的一种决策模型，并据此模型建立了铁路中间站选址智能辅助决策系统的原型系统。系统多次试运行结果表明，模型合理，自满可靠，能获得与专家基本一臻的合理站址方案。扩充与或图及其深度优先策略与方法的生成一测试算法具有较大的应用价值和一定的学术意义。     

Incorporating Uncertain and Incomplete Subjective Judgments into the Evaluation Procedure of Transportation Demand Management Alternatives

This paper proposes a methodology for evaluating transportation demand management (TDM) alternatives in the context of multi-criteria decision making (MCDM). The proposed approach takes into account not only quantitative criteria (i.e. transportation and environmental impacts) but also qualitative criteria (i.e. social impacts) which are intrinsically uncertain and subjective. The transportation impacts of the TDM alternatives are estimated by TRIPS¹ program, while the MOBILE5a² is employed in order to estimate environmental impacts in terms of NO_X, CO and Hydrocarbon. The social impacts of the TDM alternatives are estimated by interviewing relevant experts. Consequently, the uncertain subjective judgements were quantified by the evidential reasoning (ER) approach based on decision theory and Dempster–Shafer theory of evidence. In order to measure the weights of criteria, analytical hierarchy process (AHP) is adopted. As a last step, the CODASID³ method based on a complete concordance and discordance analysis is used to rank alternative TDM schemes. The proposed approach is demonstrated by ranking 14 TDM alternatives, which are chosen for the central business area in Bangkok, Thailand of 22-square-kilometers.     

铁路工程竣工决算编制方法的探讨

通过实例,探讨了在铁路工程施工中,建设单位与施工单位就工程签订的“单价合同”和“可调总价合同”两种合同方式的情况下,在工程竣工后,工程竣工决算的编制方法。     

长江三峡库区航路改革与船舶避碰

基于三峡工程蓄水后三峡库区航道特性和船舶流基本特性,根据船舶定线制的基本原理提出了三峡库区船舶航路改革的基本原则;根据船舶会遇的几何模型,提出了库区船舶在对驶相遇、追越、交叉相遇情况下的避碰决策.     

基于通径分析的四川省交通碳排放驱动机理研究

为深入分析交通运输碳排放内在驱动机理,以1995-2014年四川省实测数据为例,应用 ASIF数据构造原理和逐步回归方法识别有效驱动因子,并由通径分析获取其对行业碳排放增长的直接和间接效应.结果表明：经济强度、运输强度、相对结构和能耗强度是驱动行业碳排放的关键因子;经济强度是碳排放最主要的决策因子,其对碳排放的直接拉动效应明显;运输强度和相对结构对碳排放的影响依赖于经济强度的刺激,而能耗强度几乎可直接作用于碳排放;随着运输化的逐步推进,四川省的运输强度和能耗强度均有一定程度改善,但仍不足以抵消经济强度稳步上行所引致的行业碳排放增长.     

一种新的硬判决并行干扰消除算法

多址干扰的存在是影响CDMA系统性能和限定系统容量的重要因素。针对多址干扰信号的特点，研究了一种改进的硬判断决并行干扰多用户检测器。分析和仿真结果表明，该多用户检测器具有更好的性能和抗远近效应的能力，具有广泛的应用前景。     

数据挖掘技术在物流决策系统中的应用

介绍了数据挖掘技术的作用、过程 ,针对物流大量的数据 ,提出如何利用数据挖掘技术挖掘出有效的信息帮助做出决策及作用     

多目标决策问题的模糊数学解法

针对多目标决策问题，在已知目标权重范围的前提下，应用模糊数学理论提出了一种求解多目标决策问题的客观赋权的模糊算法，把多目标决策问题转化为单目标规划问题进行求解，并通过实例说明了此方法的具体应用．最后进行了理论分析，论证了该算法的先进性与有效性。