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331.
332.
为分析高速公路交通流检测数据质量,本文构建平方流量误差界(Squared Flow Error
Bound, SFEB)和扩展卡尔曼滤波(Extended Kalman Filter, EKF)的决策级融合模型SFEB-EKF,在检测器空间覆盖不足情况下,计算检测路段和无检测器路段的交通状态估计误差界限。与SFEB
算法相比,融合模型利用EKF交通状态估计模型估计全路段交通状态,基于得到的估计样本计算全路段交通状态估计误差下界。同时,采用最近邻法(Nearest Neighbor Method, NNM)计算全路段交通状态估计误差上界。应用开源高速公路数据集测试模型,结果表明,与需要输入真实样本的SFEB算法相比,融合模型SFEB-EKF在缺少真实样本情况下,能取得相似的结果且误差保持
在5%以内,不同检测器覆盖率实验下模型表现出良好的稳定性。本文模型通过给出无检测器路段交通状态估计界限,为高速公路交通检测器布设方案提供参考。 相似文献
333.
分析寒区公路隧道消防工程的现状,提出全新的消防设计方案,以解决寒冷地区冬季消防不可靠、费用高的问题.该设计方案可为类似工程提供一定借鉴. 相似文献
334.
在实现山东魏桥5个电厂共15台发电机组的远程监控系统的基础上,选取其中一个电厂为例,详细介绍其远程监控系统的实现方案。在每个电厂中,采用和利时LM3108小型PLC做Modbus通讯协议的主站,3个深海DSE7510控制器做Modbus从站,实现LM3108采集3个深海DSE7510控制器的数据,然后通过和利时通讯扩展模块LM3331上传数据到上位机,上位机采用和利时hollyview工业通用组态软件来实现数据的监视和管理。 相似文献
335.
Distributed information systems require complex access control which depends upon attributes of protected data and access
policies. Traditionally, to enforce the access control, a file server is used to store all data and act as a reference to
check the user. Apparently, the drawback of this system is that the security is based on the file server and the data are
stored in plaintext. Attribute-based encryption (ABE) is introduced first by Sahai and Waters and can enable an access control
mechanism over encrypted data by specifying the users’ attributes. According to this mechanism, even though the file server
is compromised, we can still keep the security of the data. Besides the access control, user may be deprived of the ability
in some situation, for example paying TV. More previous ABE constructions are proven secure in the selective model of security
that attacker must announce the target he intends to attack before seeing the public parameters. And few of previous ABE constructions
realize revocation of the users’ key. This paper presents an ABE scheme that supports revocation and has full security in
adaptive model. We adapt the dual system encryption technique recently introduced by Waters to ABE to realize full security. 相似文献
336.
This paper considers the train rescheduling problem with train delay in urban subway network. With the objective of minimizing the negative effect of train delay to passengers, which is quantified with a weighted combination of travel time cost and the cost of giving up the planned trips, train rescheduling model is proposed to jointly synchronize both train delay operation constraints and passenger behavior choices. Space–time network is proposed to describe passenger schedule‐based path choices and obtain the shortest travel times. Impatience time is defined to describe the intolerance of passengers to train delay. By comparing the increased travel time due to train delay with the passenger impatience time, a binary variable is defined to represent whether the passenger will give up their planned trips or not. The proposed train rescheduling model is implemented using genetic algorithm, and the model effectiveness is further examined through numerical experiments of real‐world urban subway train timetabling test. Duration effects of the train delay to the optimization results are analyzed. Copyright © 2017 John Wiley & Sons, Ltd. 相似文献
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338.
总结分析北京城市轨道交通(简称“城轨”)网络化发展过程中的教训和经验,指出大城市轨网规划首先最需要重视的是与城市及其交通规划的协调,应加强线网层次和规模的研究,并为线网发展留有余地,外围线与中心城线衔接应遵循“多点多线”的衔接原则,换乘站与城市功能节点协调,交通枢纽应采取一体化规划建设,建设时序上应考虑对相交换乘线的影响,单线方案建设需在网络总体指导下研究。 相似文献
339.
340.
Zhenfeng Wang Mingming Dong Yechen Qin Yongchang Du Feng Zhao 《Vehicle System Dynamics: International Journal of Vehicle Mechanics and Mobility》2017,55(3):371-398
This paper provides a new method to solve the problem of suspension system state estimation using a Kalman Filter (KF) under various road conditions. Due to the fact that practical road conditions are complex and uncertain, the influence of the system process noise variance and measurement noise covariance on the estimation accuracy of the KF is first analysed. To accurately estimate the road condition, a new road classification method through the vertical acceleration of sprung mass is proposed, and different road process variances are obtained to tune the system’s variance for the application of the KF. Then, road classification and KF are combined to form an Adaptive Kalman Filter (AKF) that takes into account the relationship of different road process noise variances and measurement noise covariances under various road conditions. Simulation results show that the proposed AKF algorithm can obtain a high accuracy of state estimation for a suspension system under varying International Standards Organisation road excitation levels. 相似文献