车站联锁仿真系统的研发与应用

介绍车站联锁系统在实验室环境下的仿真系统设计、开发与应用。     

Fair Preorder for Partial Fair Kripke Structures

IntroductionMany approaches have been proposed to dealwith the problem of model checking large statespaces,such as the composition methods,symbol-ic verification and abstraction techniques.A partialstate spaces model checking method was developedby Bruns[1] ,which explored just a part of statespaces,and those unexplored states and transitionswere often absent in incomplete or“partial”statespaces.In the automatic verification of concurrent fi-nite- state system,the branching time prepositiona…     

基于事例和置信度的多因素重要性排序方法

在多因素中确定各因素的重要性排序是涉及多因素问题研究的一个重要环节.借助模糊聚类方法和粗糙集理论中的重要性原理提出一个基于事例和模糊置信水平的确定多因素排序的客观方法.针对如何从客观数据中提取各种因素的重要性作了详细的讨论,最后给出了一个该方法的应用实例.     

Power transformer fault diagnosis model based on rough set theory with fuzzy representation

Objective Due to the incompleteness and complexity of fault diagnosis for power transformers, a comprehensive rough-fuzzy scheme for solving fault diagnosis problems is presented. Fuzzy set theory is used both for representation of incipient faults＇ indications and producing a fuzzy granulation of the feature space. Rough set theory is used to obtain dependency rules that model indicative regions in the granulated feature space. The fuzzy membership functions corresponding to the indicative regions, modelled by rules, are stored as cases. Results Diagnostic conclusions are made using a similarity measure based on these membership functions. Each case involves only a reduced number of relevant features making this scheme suitable for fault diagnosis. Conclusion Superiority of this method in terms of classification accuracy and case generation is demonstrated.     

列车运行图均衡性评价方法研究

对列车运行图的均衡性评判标准进行了研究，提出了偏差和偏差离差作为衡量列车到发均衡的两上指标并建立了相应的计算方法。     

一种模糊自适应遗传算法

为克服标准遗传算法的早熟现象,提高算法的全局收敛性和收敛速度,采用并行遗传算法的思想,将整个种群分为几个子种群,分别用不同的遗传算子进行遗传操作;并根据它们各自对进化的贡献,利用模糊推理的方法,对其所作用的子种群的规模作出调整．对函数优化的仿真结果表明,该算法能较好地克服早熟现象,取得较为满意的优化效果．     

An Adaptive Neuro-Fuzzy Inference System for estimating the number of vehicles for queue management at signalized intersections

Queue management is a valuable but underutilized technique which could be used to minimize the negative impacts of queues during oversaturated traffic conditions. One of the main obstacles of applying queue management techniques along signalized arterials is the unavailability of a robust and sufficiently accurate method for measuring the number of vehicles approaching a signalized intersection. The method based on counting vehicles as they enter and exit a specific detection zone with check-in and check-out detectors is unreliable because of the likely systematic under or over counting and the resulting cumulative errors. This paper describes the application of the Adaptive Neuro-Fuzzy Inference System (ANFIS) in the development of a new fuzzy logic-based approach for estimating the Number of Vehicles in a Detection Zone (NVDZ) by using detector time-occupancy data (instead of detector counts). Microscopic simulation results are used to evaluate the accuracy of the NVDZ estimates. Tests were carried out to determine the transferability of a tuned Fuzzy Inference System (FIS) and to check the sensitivity of the calibrated FIS to detection coverage, the location of the detection zone relative to the signalized (bottleneck) intersection, the length of the detection zone, and different signal timings at the bottleneck intersection. Results show that the NVDZ estimation based on fuzzy logic seems to be a feasible approach. Although the primary objective of developing the NVDZ estimation technique has been queue management, other applications such as ramp metering and incident detection could potentially use the same technique.     

基于模糊综合评价的土洞处理方案优选

应用模糊数学理论,把模糊综合评价方法具体应用到土洞处理方案综合评价研究中,结合处理方案评价的特点根据需要分成若干个指标,建立了指标集、评价集、隶属函数和权重集,实现对土洞处理方案择优综合评判。采用层次分析法计算评价的权重集,取得较好的效果。实例表明：模糊综合评价方法可操作性强、效果较好,可在方案优选中广泛应用。     

模糊聚类在交通诱导系统建设中的应用

可变情报板（交通诱导屏）在交通信息发布、交通诱导等方面起着非常重要的作用。为满足公众对交通诱导信息的需求,可变情报板的布局应得到进一步的合理规划。根据聚类分析和室外屏选址的基本原理,建立一套完整高效的室外屏选址理论,借助Excel强大的统计功能,该理论在实际工作中发挥了重要作用。     

基于带切换增益模糊调节的滑模控制算法的车辆电液制动系统

针对汽车线控电液制动系统建立了单轮车辆模型,研制了一种新的状态观测器对车速进行估算,试验结果表明该方法正确实用.采用切换增益模糊调节的滑模控制算法对非线性时变的车辆实施基于最佳滑移率的制动控制,在Matlab/Simulink中的仿真结果和验证试验都表明在汽车线控制动系统应用该算法是可行、有效的,在该算法的控制下汽车可获得比一般滑模控制更好的制动性能.