SIV-DSS: Smart In-Vehicle Decision Support System for driving at signalized intersections with V2I communication

In this paper, we present a Smart In-Vehicle Decision Support System (SIV-DSS) to help making better stop/go decisions in the indecision zone as a vehicle is approaching a signalized intersection. Supported by the Vehicle-to-Infrastructure (V2I) communications, the system integrates and utilizes the information from both vehicle and intersection. The effective decision support models of SIV-DSS are realized with the probabilistic sequential decision making process with the capability of combining a variety of advantages gained from a set of decision rules, where each decision rule is responsible to specific situations for making right decisions even without complete information. The decision rules are either extracted from the existing parametric models of the indecision zone problem, or designed as novel ones based on physical models utilizing the integrated information containing the key inputs from vehicle motion, vehicle-driver characteristics, intersection geometry and topology, signal phase and timings, and the definitions of red-light running (RLR). In SIV-DSS, the generality is reached through physical models utilizing a large number of accurate physical parameters, and the heterogeneity is treated by including a few behavioral parameters in driver characteristics. The performance of SIV-DSS is evaluated with systematic simulation experiments. The results show that the system can not only ensure traffic safety by greatly reducing the RLR probability, but also improve mobility by significantly reducing unnecessary stops at the intersection. Finally, we briefly discuss some relevant aspects and implications for SIV-DSS in practical implementations.     

A scalable non-myopic dynamic dial-a-ride and pricing problem for competitive on-demand mobility systems

We propose a competitive on-demand mobility model using a multi-server queue system under infinite-horizon look-ahead. The proposed approach includes a novel dynamic optimization algorithm which employs a Markov decision process (MDP) and provides opportunities to revolutionize conventional transit services that are plagued by high cost, low ridership, and general inefficiency, particularly in disadvantaged communities and low-income areas. We use this model to study the implications it has for such services and investigate whether it has a distinct cost advantage and operational improvement. We develop a dynamic pricing scheme that utilizes a balking rule that incorporates socially efficient level and the revenue-maximizing price, and an equilibrium-joining threshold obtained by imposing a toll on the customers who join the system. Results of numerical simulations based on actual New York City taxicab data indicate that a competitive on-demand mobility system supported by the proposed model increases the social welfare by up to 37% on average compared to the single-server queuing system. The study offers a novel design scheme and supporting tools for more effective budget/resource allocation, planning, and operation management of flexible transit systems.     

基于灰色理论的产品配色意象值评价算法研究

顺应产品造型变化的配色调查有助于设计师获得较为精确的配色意象,为了节省大量的配色问卷调查统计时间,以较少的已知的色彩样本意象评估量值去预测待测的产品配色量值,文中建立了产品配色方案灰色关联的数学模型,提出配色方案灰色聚类分析的算法,并详细阐述了该算法对配色方案进行定量评价的过程,最后通过案例应用和基于类神经网络预测的方法进行比较研究,结果显示,文章提出的算法对于多色组成的产品较为有效.     

基于灰色关联分析的房地产价格估算研究

房地产开发价格确定的准确与否直接影响项目开发利润的大小,更会关系到项目的成功与失败.结合房地产开发的特点,在充分考虑房地产价格影响因素的基础上,利用已建类似项目的价格建立灰色关联分析模型,估算出拟建项目房地产价格,并结合实例进行了阐述.     

非小细胞肺癌的血管生成和凝血栓蛋白-2的表达

目的探讨凝血栓蛋白2(TSP2)的表达和微血管密度(MVD)改变与非小细胞肺癌(NSCLC)的关系。方法用SP免疫组织化学技术,检测了55例NSCLC癌组织和30例肺癌旁组织中TSP2的表达及MVD的改变。结果NSCLC癌组织中存在活跃的血管生成;MVD与NSCLC侵袭转移和临床分期有关;55例癌组织中TSP2的阳性表达图像分析灰度值(149.10±2.94)明显高于30例癌旁组织的阳性表达图像分析灰度值(145.70±4.74)(P<0.05);TSP2的阳性表达与NSCLC患者的病情进展和转移明显有关。相关分析表明TSP2表达与MVD成负相关(r=-0.876,P<0.01)。结论TSP2与NSCLC的血管生成密切相关。TSP2和MVD是临床估计NSCLC病情进展和侵袭转移的重要标志。     

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     

智能管理系统的概念结构

智能管理系统是一个由核心、若干业务处理主体、若干智能支持机制组成的具有自动决策、自动处理、自适应能力的面向解决管理问题的系统。本文研究了智能管理系统的概念、结构、工作原理、能力、智能支持机制。     

绿色交通原则指导下的城市轨道网规划综合评价

为在轨道交通线网规划方案中选取最佳方案，根据绿色交通原则，建立了综合评价指标体系．利用层次分析法提出了合成权重的优化算法，进而用信息熵技术和已知方案的信息修正合成权重，用基于理想解的排序方法评选出最优方案．以某城市轨道交通规划为例说明了综合评价决策方法的应用过程，所得结果与专家评审意见一致．     

公路工程项目风险管理初探

我国公路建设项目前期工作中，风险管理是一个比较薄弱的环节，针对此情况，本文就公路工程风险管理的理论和实践问题做？了初步探讨，希望通过对公路项目的风险管理，为项目科学决策提供一些依据。