比例先行数字PID控制器的仿真

主要描述了通过比例先行的PID控制器,使用采样控制系统对惯性热工对象进行控制这一过程的仿真,并对仿真结果进行了简单的分析.     

图形驱动式路线施工放样与控制系统的研究与实现

为提高路线施工测量计算的计算机应用水平,提出图形驱动式路线施工测量计算方法,并以自主研制的FunGra系统为图形环境,通过建立基于功能图形对象的路线施工测量计算对象模型,以及在系统中提供创建和操作这些功能图形对象的便捷机制,实现了一个图形驱动式路线施工测量计算系统。现场应用验证了该系统的可行性和高效率。     

关于金融法体系构建的若干思考

对于金融法体系的构建,学者们的观点不一。很多学者提出了金融法的体系,但是认识有所不同。对金融法体系的构建存在的偏差,原因在于很多学者忽视了或者说是错误理解了法学体系和法律体系的区别。我们应当分析法学体系和法律体系的区别,认识到对金融法的体系不能简单的固定,只能是随着社会的发展和时代的进步而不断地加以完善。     

专家系统在分散自律调度集中系统中的应用

描述了将专家系统理论应用于分散自律调度集中系统的车站自律机的设计,给出了自律机专家系统的知识库、推理机的构架及原理,并介绍了自律机知识库自学习机制.由于采用了专家系统,从而提高了自律机的自动化和智能化程度.     

高速铁路异物侵限监测网设置范围计算公式的完善

高速铁路异物侵限监测系统是高速铁路重要的基础设施,其监测网的安装范围正确与否将直接关系到高速铁路的运输安全,原铁道部运输局2010年颁布的《高速铁路防灾安全监控系统-公跨铁立交桥异物侵限监测方案》提供了公跨铁立交桥异物侵限监测电网设置范围的计算公式。通过举例分析发现,当公跨铁立交桥与铁路线的夹角大于70°时,该计算公式得出的计算结果偏小,甚至还会出现负值的不合理现象,对高速铁路运营安全产生不利影响,因此有必要对该计算公式进行修改完善。根据公跨铁立交桥与铁路线的夹角大小分(0,70°)、[70°,90°)、[90°,180°)三个区间进行讨论,并利用三角函数法,研究得出一整套新的计算公式。研究成果表明,用新的计算公式得出的公跨铁立交桥异物侵限监测电网设置范围更加科学合理,提高了高速铁路异物侵限监测系统的安全监控性能。     

人事管理信息系统的开发与应用

介绍了人事管理信息系统的开发方法、系统功能与特点,实现了对人事管理各项工作及相关信息的全面、统一管理,提高了工作效率与管理水平。     

Model based urban traffic control,part II: Coordinated model predictive controllers

The present paper describes how to use coordination between neighbouring intersections in order to improve the performance of urban traffic controllers. Both the local MPC (LMPC) introduced in the companion paper (Hao et al., 2018) and the coordinated MPC (CMPC) introduced in this paper use the urban cell transmission model (UCTM) (Hao et al., 2018) in order to predict the average delay of vehicles in the upstream links of each intersection, for different scenarios of switching times of the traffic lights at that intersection. The feedback controller selects the next switching times of the traffic light corresponding to the shortest predicted average delay. While the local MPC (Hao et al., 2018) only uses local measurements of traffic in the links connected to the intersection in comparing the performance of different scenarios, the CMPC approach improves the accuracy of the performance predictions by allowing a control agent to exchange information about planned switching times with control agents at all neighbouring intersections. Compared to local MPC the offline information on average flow rates from neighbouring intersections is replaced in coordinated MPC by additional online information on when the neighbouring intersections plan to send vehicles to the intersection under control. To achieve good coordination planned switching times should not change too often, hence a cost for changing planned schedules from one decision time to the next decision time is added to the cost function. In order to improve the stability properties of CMPC a prediction of the sum of squared queue sizes is used whenever some downstream queues of an intersection become too long. Only scenarios that decrease this sum of squares of local queues are considered for possible implementation. This stabilization criterion is shown experimentally to further improve the performance of our controller. In particular it leads to a significant reduction of the queues that build up at the edges of the traffic region under control. We compare via simulation the average delay of vehicles travelling on a simple 4 by 4 Manhattan grid, for traffic lights with pre-timed control, traffic lights using the local MPC controller (Hao et al., 2018), and coordinated MPC (with and without the stabilizing condition). These simulations show that the proposed CMPC achieves a significant reduction in delay for different traffic conditions in comparison to these other strategies.     

Distributed MPC for cooperative highway driving and energy-economy validation via microscopic simulations

Traffic congestion and energy issues have set a high bar for current ground transportation systems. With advances in vehicular communication technologies, collaborations of connected vehicles have becoming a fundamental block to build automated highway transportation systems of high efficiency. This paper presents a distributed optimal control scheme that takes into account macroscopic traffic management and microscopic vehicle dynamics to achieve efficiently cooperative highway driving. Critical traffic information beyond the scope of human perception is obtained from connected vehicles downstream to establish necessary traffic management mitigating congestion. With backpropagating traffic management advice, a connected vehicle having an adjustment intention exchanges control-oriented information with immediately connected neighbors to establish potential cooperation consensus, and to generate cooperative control actions. To achieve this goal, a distributed model predictive control (DMPC) scheme is developed accounting for driving safety and efficiency. By coupling the states of collaborators in the optimization index, connected vehicles achieve fundamental highway maneuvers cooperatively and optimally. The performance of the distributed control scheme and the energy-saving potential of conducting such cooperation are tested in a mixed highway traffic environment by the means of microscopic simulations.     

一种改进的快速压缩跟踪算法

为研究目标跟踪问题,构造多种不同尺度的滤波器对目标进行滤波,生成目标高维特征;利用符合有限等距性质要求的稀疏矩阵对高维特征进行采样,获得目标低维特征.采用朴素贝叶斯分类器输出与Bhattacharyya系数乘积的形式作为目标与候选目标之间的相似性度量,并选择最大值所对应的候选目标作为下一帧中的目标.文中提出了一种改进的快速压缩跟踪算法.实验表明,该改进的算法能够对目标进行有效跟踪.     

基于机器视觉的车辆检测与参数识别研究进展

近年来公路交通运输快速增长,交通车辆的快速准确检测与识别对智能交通系统和交通基础设施运维具有重要意义.随着机器视觉和深度学习技术的迅速发展及其在目标检测领域的广泛应用,车辆目标检测和参数识别也取得新的突破.该文从车辆参数的识别方法和应用研究两方面梳理了机器视觉和深度学习在车辆检测与参数识别领域的研究现状、最新研究成果和...