基于小波神经网络的高速公路区域经济影响评价

引入小波神经网络的自适应机制,建立基于小波神经网络的多属性综合评价模型EMWNN(15,20,1),并进行了实际应用.     

基于WSN的公交车辆信息采集系统网络性能评价方法

在分析公交车辆信息采集需求的基础上,提出了运用通信网络仿真技术对WSN的公交信息采集系统性能的评价方法.基于OPNET建立了一个公交信息采集和传输的模型,通过对不同的场景进行仿真得到了决定公交信息采集系统网络性能的参数,仿真结果验证了WSN实现连续采集传输数据的能力、预测了系统可靠性及数据准确性,实现了对基于WSN的公交信息采集系统网络整体性能的评价.     

轨道交通通信系统中综合网络管理系统的开发和应用

轨道交通通信系统是一个复杂的综合性专用通信网和运营管理的中枢神经,包含传输、交换、电源和视频监控等近20个子系统.综合网络管理系统(INMS)与传输、交换等各子系统交互,集中收集和统一发送告警信息,屏蔽一般的和可恢复的告警,过滤出严重告警并打印和报警.控制中心通过调度电话及时通知现场运营维护人员去现场维护,因此只需1名人员监视1个屏幕,从而节约人力成本,大幅降低运营管理复杂度和运营成本(OPEX),提高运行效率和准点率.     

印尼铁路项目GSM-R系统核心网建设及互联互通研究

不同于中国铁路统一管理的模式,境外铁路项目需要根据当地的政治、经济制度制定不同的通信网络建设模式.通过对印尼高速铁路项目的分析,研究在境外铁路项目中可能出现的2种通信网络建设模式,即统一管理模式和独立管理模式.提出了2种模式下GSM-R系统核心网的可行性建设方案,以及有互联互通需求时可行的漫游方案,并分析了其他主要铁路...     

基于卷积神经网络的船舶复合接头焊接损伤识别

提出一种基于卷积神经网络（Convolutional Neural Network,CNN）的船舶复合接头焊接损伤识别方法。采用Ansys软件对焊接过程进行模拟,考虑5种不同损伤位置和损伤程度的模拟工况,采集不同工况条件下复合接头的应变响应数据。构建一维CNN,将数据分为训练集和测试集放入神经网络中进行训练和测试,验证该方法对复合接头焊接过程中不同损伤位置和损伤程度进行识别的适用性。结果表明,该方法在结构焊接损伤检测方面具有良好的检测性能。     

电子商务中电子合同立法若干问题的思考

电子商务合同是以电子网络为载体的新型贸易的协议形式,其与传统商务合同相比较有着重大形式差异。文章对我国现行合同法存在的关于电子合同当事人行为能力、电子合同成立、电子签名、电子证据及法律适用等问题进行了分析,并提出应采用“破”“立”结合的方法完善我国电子合同立法的建议。     

基于软交换的轨道交通专用通信系统的发展

阐述了轨道交通专用通信网的发展现状和问题;结合当前轨道交通规模化建设、网络化运营和智能化管理的需求,分析城市轨道交通发展软交换技术的优势;指出了基于软交换技术的IP网是未来城市轨道交通专用通信网的发展方向;在此基础上进一步论述了城市轨道交通通信专网建设软交换网络体系的网络规划,网络演进策略和旧网改造思路。     

Network impacts of a road capacity reduction: Empirical analysis and model predictions

In spite of their widespread use in policy design and evaluation, relatively little evidence has been reported on how well traffic equilibrium models predict real network impacts. Here we present what we believe to be the first paper that together analyses the explicit impacts on observed route choice of an actual network intervention and compares this with the before-and-after predictions of a network equilibrium model. The analysis is based on the findings of an empirical study of the travel time and route choice impacts of a road capacity reduction. Time-stamped, partial licence plates were recorded across a series of locations, over a period of days both with and without the capacity reduction, and the data were ‘matched’ between locations using special-purpose statistical methods. Hypothesis tests were used to identify statistically significant changes in travel times and route choice, between the periods of days with and without the capacity reduction. A traffic network equilibrium model was then independently applied to the same scenarios, and its predictions compared with the empirical findings. From a comparison of route choice patterns, a particularly influential spatial effect was revealed of the parameter specifying the relative values of distance and travel time assumed in the generalised cost equations. When this parameter was ‘fitted’ to the data without the capacity reduction, the network model broadly predicted the route choice impacts of the capacity reduction, but with other values it was seen to perform poorly. The paper concludes by discussing the wider practical and research implications of the study’s findings.     

Marginal cost congestion pricing based on the network fundamental diagram

Congestion pricing schemes have been traditionally derived based on analytical representations of travel demand and traffic flows, such as in bottleneck models. A major limitation of these models, especially when applied to urban networks, is the inconsistency with traffic dynamics and related phenomena such as hysteresis and the capacity drop. In this study we propose a new method to derive time-varying tolling schemes using the concept of the Network Fundamental Diagram (NFD). The adopted method is based on marginal cost pricing, while it also enables to account realistically for the dynamics of large and heterogeneous traffic networks. We derive two alternative cordon tolls using network-aggregated traffic flow conditions: a step toll that neglects the spatial distribution of traffic by simply associating the marginal costs of any decrease in production within the NFD to the surplus of traffic; and a step toll that explicitly accounts for how network performance is also influenced by the spatial variance in a 3D-NFD. This pricing framework is implemented in the agent-based simulation model MATSim and applied to a case study of the city of Zurich. The tolling schemes are compared with a uniform toll, and they highlight how the inhomogeneous distribution of traffic may compromise the effectiveness of cordon tolls.     

模糊理论在网络优化中的应用

随着网络应用范围的拓宽,应用中使用了大量的模糊语言,比如"费用高"、"距离远"和"代价低"等等,对于这类问题难以建立精确的数学模型.提出了运用模糊理论来解决网络优化中遇到的这类不确定的、模糊的问题,并结合一个具有模糊性的网络优化问题实例,建立数学模型,编写Java程序实现求解过程.最后通过对建模结果的验证,说明方法是有效的和可行的.