城市轨道交通中闸机事件识别技术

闸机识别系统是城市轨道交通自动检票设备的核心部分。针对闸机识别系统识别率不高的问题,按照事件序列可以描述物体运动过程的思路,提出了基于事件识别的新方法。采用对射式红外传感器捕获运动个体的动作、行为和事件。在运动个体经过闸机通道时,对形成的动作序列根据预定义的行为和事件进行分析,获得个体运动过程中所存在的行为和事件,并产生事件序列。通过判断事件序列中通行事件对的个数,得到运动个体的个数。事件识别方法的最小识别单位是运动个体,在1个事件序列中,每个通行事件对就对应于1个运动个体通过了闸机通道。使用开发的闸机仿真软件和物理样机,对事件识别方法的识别效果进行试验,结果表明该识别方法是有效的。     

从杨丽娟事件看介入式报道的不当对大学生等青少年群体媒介素养的影响

文章回顾了在杨丽娟事件中媒体的介入性报道的种种失误表现,指出了介入性报道对事件的演进过程和悲剧性结局的不当干预作用和影响。文章认为,媒体在使用介入性报道时,必须谨慎小心,坚持新闻报道的客观公正原则,选择正确的报道方法,以期对当代大学生等青少年群体媒介素养有积极的影响。     

Reprint of “Modelling the resilience,friability and costs of an air transport network affected by a large-scale disruptive event”

This paper deals with developing a methodology for estimating the resilience, friability, and costs of an air transport network affected by a large-scale disruptive event. The network consists of airports and airspace/air routes between them where airlines operate their flights. Resilience is considered as the ability of the network to neutralize the impacts of disruptive event(s). Friability implies reducing the network’s existing resilience due to removing particular nodes/airports and/or links/air routes, and consequently cancelling the affected airline flights. The costs imply additional expenses imposed on airports, airlines, and air passengers as the potentially most affected actors/stakeholders due to mitigating actions such as delaying, cancelling and rerouting particular affected flights. These actions aim at maintaining both the network’s resilience and safety at the acceptable level under given conditions.Large scale disruptive events, which can compromise the resilience and friability of a given air transport network, include bad weather, failures of particular (crucial) network components, the industrial actions of the air transport staff, natural disasters, terrorist threats/attacks and traffic incidents/accidents.The methodology is applied to the selected real-life case under given conditions. In addition, this methodology could be used for pre-selecting the location of airline hub airport(s), assessing the resilience of planned airline schedules and the prospective consequences, and designing mitigating measures before, during, and in the aftermath of a disruptive event. As such, it could, with slight modifications, be applied to transport networks operated by other transport modes.     

铁路客运站视频监控系统中的行人逆行异常事件检测算法研究

由于铁路客运站的许多区域要求行人单向运动,因此检测视频中是否出现行人逆行异常事件,是保证铁路客运站拥有安全稳定乘车秩序的重要手段.鉴于此,本文提出了一种逆行异常事件的检测算法,首先基于HoG特征进行行人检测,随后利用mean-shift算法对目标进行实时跟踪,并通过判断其运动方向是否与规定方向一致,最终实现对逆行异常事件的检测.实验结果表明,该方法既能显著降低运算的复杂度,又能明显提高检测的准确率.     

Measuring the performance of airport resilience to severe weather events

The increased severe weather events in recent years as a result of global climate change has created a substantial challenge for aviation system operation. Although transportation engineers and planners have attempted to improve system resilience through the adaptation of new technologies and the implementation of various strategies to achieve effective risk management, it remains unclear how resilience performance (measured by the speed of recovery) of airports varies in different severe weather events and what factors may explain such variations. This paper addresses these fundamental questions using the aviation system in China as an example. A resilience metric, which reflects the speed of recovery (bounce back) from a shock, was developed to measure the performance of airport resilience under various severe weather conditions. In addition, an empirical econometric analysis was conducted based on a dataset that includes both detailed aviation performance and weather conditions for the period of October 2016 – September 2017. The research findings show that airport resilience to severe weather events does vary substantially based on factors, such as weather conditions, airport capacity, and the level of modal substitution. In particular, the recovery time of air services in central and south China tends to be relatively longer in thunderstorms than other weather conditions. The study also confirms that modal substitution is a very effective resilience tactic of the transportation system as the recovery speed of air service was found to be faster by 22.9% if an alternative mode, such as high-speed rail (HSR) service was also available in the city.     

Supervisory Control of Fuzzy Discrete Event Systems Based on Agent

Introduction There are many complicated systems in theworld that can not be represented by differentialequations and so on, but they can be describedqualitatively by event sequences that lead to thetransition of the system states indirectly, so itbrings o…     

应用差错可能度分析驾驶员安全可靠度

运用差错可能度这一评价人为差错的模糊度量方法代替传统的分析人为差错率的精确度量方法来分析驾驶员的可靠度，并在此基础上采用故障树分析评价人为差错．得到如下结论：顶事件的差错潜在度和与其连续的子事件的差错可能度密切相关，即驾驶员的差错是一系列的失误造成的．     

一般周期事件排序的网络模型及算法

在交通系统中，有许多事件是周期性发生的，按时钟模式对满足一定条件约束的周期事件进行合理的安排，这一问题被称为一般周期事件排序问题，本文将首先建立求解这一问题的网络模型。然后给出相应的算法，最后，对算法的复杂性给予简单的分析。     

利用概率思想对两个恒等式的证明

通过构建适当的概率问题，利用必然事件的概率为1得到恒等式，这样也就完成了对恒等式的证明。     

公共事件对交通延误影响分析

根据事件发生对交通延误的影响程度,选择拥堵型事件作为研究对象。运用交通工程学、系统工程学、网络分析理论探讨了社会公共事件的发生对城市交通系统的影响过程,通过图形和定性分析,并运用交通流理论、波动理论、延误分析方法给出了拥堵型公共事件发生对城市道路交通系统延误的影响指标和算法,通过实地调查数据,运用交通微观仿真软件对事件发生过程进行了模拟分析,验证了指标的准确性和可信度。