集装箱多式联运系统的协同模型

集装箱多式联运系统是一个由多种运输方式构成,每种运输方式又自成体系的复杂系统。采用系统科学的方法,分析了集装箱多式联运系统的结构和协同学特征,并运用协同学理论,构建了以系统综合运输能力为序参量的国际集装箱多式联运协同发展方程。研究表明,随着控制变量逐渐变化,系统的定常态从稳定点变为不稳定点,系统发生结构变化。     

载人潜器人因工程研究

对载人潜器人因工程的研究现状、研究范畴、技术手段和发展趋势进行梳理和总结,旨在为指导载人潜器设计总体集成优化、提高潜器综合效能、节省全寿命周期费用及缩减潜器人员编制提供参考。     

齿轨铁路基础设施综合维修体系研究

根据齿轨铁路的工程特点,分析齿轨铁路基础设施综合维修的相关需求。借鉴国内既有铁路的综合维修模式,提出适合齿轨铁路的综合维修模式。进而对综合维修体系的组织机构设置及具体机构布点提出了建。     

基于自适应神经模糊推理的交通状态判别方法

文章针对交通状态具有模糊性和主观性的特点,建立能够真实反映人对交通拥塞程度感觉的自适应-神经模糊推理系统,使具有变化连续的交通流参数模糊化处理,实现了道路交通状态的准确、快速辨别。     

基于EXCEL滑坡地质灾害技术分析系统的开发

当前的滑坡地质灾害预报预测存在很多问题,如精度不高、现场技术人员难以应用等,无法指导滑坡治理过程中的灾害防治。文章在简单易用的EXCEL软件的基础上进行二次开发,内嵌地质灾害技术标准,充分利用EXCEL软件中宏及VBA编程运算功能,开发滑坡地质灾害分析系统;较易应用到现场施工过程当中,同时也可以进行挂接相关的其他程序;为施工单位提供决策依据。     

Integrated solution for anomalous driving detection based on BeiDou/GPS/IMU measurements

There has been an increasing role played by Global Navigation Satellite Systems (GNSS) in Intelligent Transportation System (ITS) applications in recent decades. In particular, centimeter/decimetre positioning accuracy is required for some safety related applications, such as lane control, collision avoidance, and intelligent speed assistance. Lane-level Anomalous driving detection underpins these safety-related ITS applications. The two major issues associated with such detection are (1) accessing high accuracy vehicle positioning and dynamic parameters; and (2) extraction of irregular driving patterns from such information. This paper introduces a new integrated framework for detecting lane-level anomalous driving, by combining Global Positioning Systems (GPS), BeiDou, and Inertial Measurement Unit (IMU) with advanced algorithms. Specifically, we use Unscented Particle Filter (UPF) to perform data fusion with different positioning sources. The detection of different types of Anomalous driving is achieved based on the application of a Fuzzy Inference System (FIS) with a newly introduced velocity-based indicator. The framework proposed in this paper yield significantly improved accuracy in terms of positioning and Anomalous driving detection compared to state-of-the-art, while offering an economically viable solution for performing these tasks.     

构建科学的员工绩效管理体系探讨

文章针对当前国有企业绩效管理中常见问题,分析存在问题的原因,并结合企业绩效管理实践,提出建立和改善绩效管理体系的对策和建议。     

物联网平台下智能交通系统体系框架研究

文章以现有智能交通系统体系框架为基础,提出以结构化方法制定物联网平台下智能交通系统体系框架,并以结构化方法的基本步骤为主线,结合物联网工作原理和自主体系结构,从用户服务、逻辑框架、物理框架三方面探讨新体系框架与现有体系框架的差别。     

Compromising system and user interests in shelter location and evacuation planning

Traffic management during an evacuation and the decision of where to locate the shelters are of critical importance to the performance of an evacuation plan. From the evacuation management authority’s point of view, the desirable goal is to minimize the total evacuation time by computing a system optimum (SO). However, evacuees may not be willing to take long routes enforced on them by a SO solution; but they may consent to taking routes with lengths not longer than the shortest path to the nearest shelter site by more than a tolerable factor. We develop a model that optimally locates shelters and assigns evacuees to the nearest shelter sites by assigning them to shortest paths, shortest and nearest with a given degree of tolerance, so that the total evacuation time is minimized. As the travel time on a road segment is often modeled as a nonlinear function of the flow on the segment, the resulting model is a nonlinear mixed integer programming model. We develop a solution method that can handle practical size problems using second order cone programming techniques. Using our model, we investigate the importance of the number and locations of shelter sites and the trade-off between efficiency and fairness.     

Intermodal Transit System Coordination

In urban areas where transit demand is widely spread, passengers may be served by an intermodal transit system, consisting of a rail transit line (or a bus rapid transit route) and a number of feeder routes connecting at different transfer stations. In such a system, passengers may need one or more transfers to complete their journey. Therefore, scheduling vehicles operating in the system with special attention to reduce transfer time can contribute significantly to service quality improvements. Schedule synchronization may significantly reduce transfer delays at transfer stations where various routes interconnect. Since vehicle arrivals are stochastic, slack time allowances in vehicle schedules may be desirable to reduce the probability of missed connections. An objective total cost function, including supplier and user costs, is formulated for optimizing the coordination of a general intermodal transit network. A four-stage procedure is developed for determining the optimal coordination status among routes at every transfer station. Considering stochastic feeder vehicle arrivals at transfer stations, the slack times of coordinated routes are optimized, by balancing the savings from transfer delays and additional cost from slack delays and operating costs. The model thus developed is used to optimize the coordination of an intermodal transit network, while the impact of a range of factors on coordination (e.g., demand, standard deviation of vehicle arrival times, etc) is examined.