铁路局车站间数据交换系统的设计与实现

在铁路运输生产中,车站起着重要的作用.讨论铁路局调度系统中铁路局与车站数据交换的实现方法,利用Socket技术使得数据交换变得准确和快捷.实践表明,该系统能够很好地满足日常运输生产要求.     

A hybrid machine learning model for short-term estimated time of arrival prediction in terminal manoeuvring area

4D trajectory prediction is the core element of future air transportation system, which is intended to improve the operational ability and the predictability of air traffic. In this paper, we introduce a novel hybrid model to address the short-term trajectory prediction problem in Terminal Manoeuvring Area (TMA) by application of machine learning methods. The proposed model consists of two parts: clustering-based preprocessing and Multi-Cells Neural Network (MCNN)-based prediction. Firstly, in the preprocessing part, after data cleaning, filtering and data re-sampling, we applied principal Component Analysis (PCA) to reduce the dimension of trajectory vector variable. Then, the trajectories are clustered into several patterns by clustering algorithm. Using nested cross validation, MCNN model is trained to find out the appropriate prediction model of Estimated Time of Arrival (ETA) for each individual cluster cell. Finally, the predicted ETA for each new flight is generated in different cluster cells classified by decision trees. To assess the performance of MCNN model, the Multiple Linear Regression (MLR) model is proposed as the comparison learning model, and K-means++ and DBSCAN are proposed as two comparison clustering models in preprocessing part. With real 4D trajectory data in Beijing TMA, experimental results demonstrate that our proposed model MCNN with DBSCAN in preprocessing is the most effective and robust hybrid machine learning model, both in trajectory clustering and short-term 4D trajectory prediction. In addition, it can make an accurate trajectory prediction in terms of Mean Absolute Error (MAE) and Root Mean Squared Error (RMSE) with regards to comparison models.     

How to assess the benefits of connected vehicles? A simulation framework for the design of cooperative traffic management strategies

Advances in Information and Communication Technologies (ICT) allow the transportation community to foresee dramatic improvements for the incoming years in terms of a more efficient, environmental friendly and safe traffic management. In that context, new ITS paradigms like Cooperative Systems (C-ITS) enable an efficient traffic state estimation and traffic control. C-ITS refers to three levels of cooperation between vehicles and infrastructure: (i) equipped vehicles with Advanced Driver Assistance Systems (ADAS) adjusting their motion to surrounding traffic conditions; (ii) information exchange with the infrastructure; (iii) vehicle-to-vehicle communication. Therefore, C-ITS makes it possible to go a step further in providing real time information and tailored control strategies to specific drivers. As a response to an expected increasing penetration rate of these systems, traffic managers and researchers have to come up with new methodologies that override the classic methods of traffic modeling and control. In this paper, we discuss some potentialities of C-ITS for traffic management with the methodological issues following the expansion of such systems. Cooperative traffic models are introduced into an open-source traffic simulator. The resulting simulation framework is robust and able to assess potential benefits of cooperative traffic control strategies in different traffic configurations.     

Adaptive data dissemination for time-constrained messages in dynamic vehicular networks

With the advent of emerging wireless communication technologies, tremendous efforts have been put on promoting the safety and efficiency of transportation services by developing innovative applications. In particular, there has been significant interest in accessing information stored at RSUs (Roadside Units). The unique characteristics in vehicular networks, such as dynamic traffic factors including vehicle arrival rate, dwell time and data access patterns, bring us new challenges on data dissemination. This work dedicates to the investigation of timely and adaptive data dissemination in the dynamically changing traffic environment. Firstly, we derive an analytical model to explore and examine the effects of the dynamic traffic factors. In light of the theoretical results, an on-line scheduling algorithm is proposed for adaptive data dissemination. Finally, we evaluate performance of the new algorithm in a variety of circumstances. The simulation results demonstrate satisfactory performance of the proposed algorithm.     

地下管线测漏仪中数据的采集和预处理

在对管线渗漏信号进行分析的基础上 ,利用DSP芯片TMS32 0VC5 40 2和模数转换器CS5 36 0实现了数据的高精度采集。同时设计了基于渗漏信号特征的数字滤波器 ,对采集后的信号进行有效预处理。     

基于B/S模式的机车信号检测数据分析系统

结合当今比较流行的计算机技术,研究了一种新型的基于浏览器/服务器（Browser/Server,简称B/S）模式的机车信号检测数据分析系统,给出了系统设计原理和实现方法.     

深圳地铁一期工程FALKO简述

根据深圳地铁一期工程采用的信号系统设备技术特点，对ATS子系统中运行时刻表编辑系统（FALKO）的数据组成、控制流程、系统功能作了初步介绍。     

Quality control of ocean temperature and salinity profiles — Historical and real-time data

A new automated quality control system for oceanic temperature and temperature–salinity profiles is presented. Substantial development was needed for some of the quality control algorithms although the checks were based on documented procedures used elsewhere where appropriate. A new automated ship track check was developed: the results of an undetected position error can be very damaging to ocean analyses. Also important is a check against a gridded background, this can be a climatology but near the surface it is advantageous to use an estimate that is evolving over time. Bayesian probability theory is used in the background check and the associated check against nearby observations (buddy check). The system was used to process archive data for 1956–2004. As a by-product monthly model-free objective analyses for this period were produced. Versions of the system are used for near-real time ocean analysis and for initialising both short-range ocean forecasts and seasonal atmosphere–ocean forecasts. The main features of the oceanic observing systems are presented along with quality control statistics, examples of errors that can occur and some additional problematic cases.     

基于数据融合的单目标船避碰评估系统

建立了一个用于对单目标船避碰操作进行评估的系统。介绍了基于数据融合技术的系统三级处理模型,并重点讨论了基于数据关联的船舶航迹提取,基于坐标转换和几何模型的船舶运动参数计算,基于多测量周期数据融合的船舶操纵识别,和基于知识的碰撞危险、避碰阶段及会遇态势的判定等模块。同时给出了系统的工作流程图,最后通过实例说明系统运行的有效性。     

船体零件自动套料的原理与方法

根据船体零件数量多形状复杂的特点，提出了一种实现零件自动套料的方法，并设计了相应的软件系统。主要内容为建立板材逐次切割的无干涉“切割套料”模型，给出零件自动套料的算法。采用数据开采技术从零件库中提取有用信息，实现对零件的分类，生成有关套料属性信息，并据此生成相应的套料规则，实现零件的自动套料工作。经初步考核，证明此方法是可行的，并且具有运行效率高与板材利用率高等特点。