列车运行自动控制(ATO)算法的研究

通过分析列车自动控制算法所面临的问题，提出了具有自适应、智能化的列车自动驾驶算法及推理机结构。     

桥梁工程设计数据库管理系统的研究

基于关系数据库理论的观点，结合工程的实际需要，研究开发了“桥梁工程设计数据库管理系统”。本文讨论了系统分析、数据模型选择、系统的总体设计、一般应用模块、高级应用模块以及系统软件实现等有关的技术问题。     

基于无线传感器网络的交通流量采集系统

提出了一种基于无线传感器网络（WSN）的车流量监控系统。系统采用无线数据采集的方法和地磁传感器进行车辆检测的方法,通过无线传感器网络的多跳传输机制传输车辆感应数据,并通过地磁传感器采集车辆感应数据。系统通过后台统一管理,用户可实时获取道路车流量信息,相比传统的基于有线数据采集和地磁感应线圈检测器的监控系统,基于WSN的车流量监控系统在施工与维护上具有很大优势,可实现交通车流量状况的实时监控。     

秦沈客运专线新一代调度集中系统的研究

秦沈客运专线调度集中系统是一个分布式协同工作的安全信息广域网。提出分布式协同工作的原理。根据线路特点,运用人工智能技术,提出采用专家系统的构建方法和推理原则实现车次号的追踪和确认。采用最不信任原则设计控制命令生成及下达算法,就关键的进路控制命令的生成和下达进行分析。利用建立在专家系统之上的多目标滚动优化算法,实现对阶段计划的调整。     

未来城市交通技术发展与创新 ——“交通7+1论坛”第五十二次会议

随着移动互联网、大数据和人工智能等技术发展,城市交通系统中涌现出“共享交通”“需求响应式出行服务”“无人驾驶”“城市交通大脑”等新兴的交通工具、服务模式和管理手段,未来交通系统将面临创新发展的机遇,并对传统交通行业带来巨大挑战.本次论坛以“未来城市交通技术发展与创新”为主题,分析了预约交通系统的发展前景,探讨了超级交通仿真系统的相关核心技术,分析了无人驾驶的发展、挑战及仿真技术,说明了大数据和人工智能技术在城市智慧发展中的作用与运用要点.     

智慧交通与智慧物流

智慧交通和智慧物流是智慧城市建设的重要内容.智慧交通技术的创新和发展，促进了智能交通升级.解决大规模数据计算问题是物流智能化的基础.本次论坛以“智慧交通和智慧物流”为主题，介绍了安全驾驶统一集理论、实践及成果，探讨了新一代信息技术对智能交通发展与创新的推动作用，介绍了无人驾驶技术的总体框架、发展与应用，探讨了智慧物流所面临的大规模数据计算问题及解决方案.     

Analysis of air traffic control operational impact on aircraft vertical profiles supported by machine learning

The Air Traffic Management system is under a paradigm shift led by NextGen and SESAR. The new trajectory-based Concept of Operations is supported by performance-based trajectory predictors as major enablers. Currently, the performance of ground-based trajectory predictors is affected by diverse factors such as weather, lack of integration of operational information or aircraft performance uncertainty.Trajectory predictors could be enhanced by learning from historical data. Nowadays, data from the Air Traffic Management system may be exploited to understand to what extent Air Traffic Control actions impact on the vertical profile of flight trajectories.This paper analyses the impact of diverse operational factors on the vertical profile of flight trajectories. Firstly, Multilevel Linear Models are adopted to conduct a prior identification of these factors. Then, the information is exploited by trajectory predictors, where two types are used: point-mass trajectory predictors enhanced by learning the thrust law depending on those factors; and trajectory predictors based on Artificial Neural Networks.Air Traffic Control vertical operational procedures do not constitute a main factor impacting on the vertical profile of flight trajectories, once the top of descent is established. Additionally, airspace flows and the flight level at the trajectory top of descent are relevant features to be considered when learning from historical data, enhancing the overall performance of the trajectory predictors for the descent phase.     

智能低压配电系统在地铁中的应用

根据地铁低压配电系统的特点,结合当前智能低压系统的广泛应用,提出了地铁智能低压的基本组成、功能要求、实现方法以及发展方向.智能化低压系统总的发展趋势是智能化、网络化、组合化、模块化、高性能和小型化,并将电力、电子、计算机、信息神经网络及模糊控制等相关的高新技术有机结合,提高整个配电系统的可靠性.     

《机械制图》智能组卷专家系统的设计

利用面向对象编程工具Visual C 6．0将专家系统技术和数据库技术应用到《机械制图》课程试题库建设及试卷组卷中,建立了《机械制图》智能组卷专家系统。结果表明：只要输入对试卷限制条件,计算机高效随机组卷便可实现。     

Practicability study on the suitability of artificial,neural networks for the approximation of unknown steering torques

For steer-by-wire systems, the steering feedback must be generated artificially due to the system characteristics. Classical control concepts require operating-point driven optimisations as well as increased calibration efforts in order to adequately simulate the steering torque in all driving states. Artificial neural networks (ANNs) are an innovative control concept; they are capable of learning arbitrary non-linear correlations without complex knowledge of physical dependencies. The present study investigates the suitability of neural networks for approximating unknown steering torques. To ensure robust processing of arbitrary data, network training with a sufficient volume of training data is required, that represents the relation between the input and target values in a wide range. The data were recorded in the course of various test drives. In this research, a variety of network topologies were trained, analysed and evaluated. Though the fundamental suitability of ANNs for the present control task was demonstrated.