基于模糊逻辑的路径选择模型

为有效解决路径选择行为中的不确定性问题,采用模糊逻辑方法建立路径选择模型。用三角模糊数描述路径行驶时间,并建立一定的模糊规则,然后,用近似推理方法两两对比可选路径,在对比矩阵基础上计算各条路径的权重,即路径被选择的概率。最后,对路径选择模型进行算例应用,验证了模型的有效性。     

求解预支约束下商品批发零售问题的近似算法

研究了求解预支约束下批发零售问题的一种新的近似算法,这一算法是一种改进的贪婪算法,即将部分穷举法与贪婪算法相结合并从理论上分析了该算法的可靠性和有效性,最后得出了该算法的性能保证为1-e-1.     

修正型Lupas—Baskakov积分算子的逼近性质

引入了修正型Lupas-Baskakov积分算子,它是由Lupas算子和Baskakov算子复合而得到的。通过分析和研究修正型Lupas-Baskakov算子的性质,给出了该类算子的VonorovsKya渐近表达式,确定了此类算子饱和阶及平凡类,最后建立了修正型Lupas-Baskakov积分算子的饱和定理。     

Continuous approximation models for mixed load school bus routing

School bus routing is a complex and expensive transportation problem for many public school districts. Typical school bus routes serve a single school, but mixed load school bus routes carry students for more than one school at the same time. A mixed load policy reduces the number of stops and distance to pick up and drop off children, but it can increase travel distance by visiting multiple schools. This paper provides a general strategic analysis using continuous approximation models to assess the conditions under which mixed loading is likely to be beneficial. We also present a case study for a semi-rural Missouri school district to illustrate the application of the models in practice. Results show that mixed load routing is more beneficial for larger districts, when a large percentage of bus stops are shared by students of different schools, and when schools are closer together.     

变长序列相关性与DS-CDMA性能分析

基于对变长扩频序列相关特性的分析，研究了采用0VSF扩频序列的多速率异步DS—CDMA系统性能，导出以序列非周期部分相关表示的多址干扰分析结果．数值分析结果表明，干扰用户序列长度对期望用户BER能有较大影响，而期望用户所采用的序列长度对自身BER性能的影响较小。     

非扩张映象的Ishikawa迭代与最佳逼近元

在严格凸Banach空间中研究了非扩张映象T的耦合不动点集F(T)的闭凸性,获得了当F(T)是Hilbert空间中的闭线性子空间时,Ishikawa迭代的极限元与其初始元的最佳逼近元之间的关系.     

尺寸可变的装箱问题的近似算法的研究

给定物品系列,要求将所有物品装入到不同类型的箱子中,以实现从第1个箱子到最后1个箱子被使用的箱子的总尺寸最小化.用最坏情况绝对性能研究在线算法,给出了一种最坏情况绝对性能比是3的近似算法.作为这种算法的应用,给出了一种脱线算法,其最坏情况绝对性能比是2.     

交通工程CAE软件系统的设计与实现方法

在分析交通工程软件系统现状的基础上，给出了基于GIS(地理信息系统)平台的交通工程CAE(计算机辅助工程)软件系统的设计方案，对系统设计中的关键技术进行了分析，采用数值逼近理论分析交通数据，并以智能化图形方式显示结果。实例中通过对交通特性中行车速度的分析与处理，证明了该系统整体方案及交通数据组织与拟合算法的可行性。     

基于NURBS的船体曲面自适应三角网格剖分

针对面向曲面的三维船体性能计算和真实感图形显示问题,应用NURBS曲线、曲面理论,提出一种新颖的船体NURBS曲面三角形网格自动生成算法,运用四角编码方法和改进的曲面片平坦性检验方法,保证在递归分割船体NURBS曲面时,能够快速有效地分割出四边形网格,在曲面片的高度方向和边界处同时满足给定的精度要求,在此基础上,应用割角剖分算法将一个四边形网格剖分成两个或多个三角形网格。应用结果表明,应用该算法生成的三角形平面片能够较好地逼近船体曲面,避免出现网格间的裂缝,与二叉树、四叉树方法相比,四角编码方法明显节省了时间和空间,提高了算法效率。     

Traffic state estimation and uncertainty quantification based on heterogeneous data sources: A three detector approach

This study focuses on how to use multiple data sources, including loop detector counts, AVI Bluetooth travel time readings and GPS location samples, to estimate macroscopic traffic states on a homogeneous freeway segment. With a generalized least square estimation framework, this research constructs a number of linear equations that map the traffic measurements as functions of cumulative vehicle counts on both ends of a traffic segment. We extend Newell’s method to solve a stochastic three-detector problem, where the mean and variance estimates of cell-based density and flow can be analytically derived through a multinomial probit model and an innovative use of Clark’s approximation method. An information measure is further introduced to quantify the value of heterogeneous traffic measurements for improving traffic state estimation on a freeway segment.