基于乘客等待时间最短的市郊公交发车时刻优化模型研究

在对国内外研究现状分析的基础上,分析了轨道交通与市郊公交的换乘组织。针对市郊公交作为轨道交通接运交通的情况,从乘客换乘等待时间的角度对轨道交通与市郊公交的最佳衔接问题进行了研究,应用运筹学理论,建立了满足乘客换乘等待时间最短的市郊公交发车时刻优化模型。根据北京地铁13号线龙泽站的相关数据,对该站轨道交通与市郊公交的换乘进行了优化,提出了443路市郊公交发车时刻的优化建议。研究结果表明,此模型能最大限度地减少乘客换乘总等待时间,对于发车间隔较大的公交方式间换乘的时间节约效果更为明显。     

�����׹��Ƶ��й�����ҵ��չ���ڲⶨ

物流业作为宏观经济的组成部分,其发展存在一定的周期性波动,揭示物流业发展的周期规律,测定其波动周期,具有一定的理论和实践意义。中国物流统计数据缺乏,客观上限制了对其周期规律的研究,本文选取社会物流总额作为测度指标,设计了一种人工序列,解决了统计数据过短问题;谱估计法从频域角度揭示客观事物的时间特性,在研究时间序列周期波动方面具有时域分析法所不具备的优势,作者采用谱估计法对中国物流发展周期进行测定,检验了指标序列平稳性,分析了截断点参数灵敏度,比较了6种不同滞后窗下周期值,并检验了所测得周期的显著性。研究表明,中国物流业发展在0.001显著水平下存在2个周期波动,分别是周期约为15.2年的长周期强波动和周期约为3.4年的短周期弱波动。     

Network-Wide Traffic State Observation and Analysis Method Using Pseudo-Color Map

A novel algorithm is proposed in this paper to meet the demand of urban traffic control and management for network-wide traffic states observation and analysis. Urban traffic network is mapped to a pseudo-color image with pixels corresponding to grids. The colors of the pixels represent the corresponding grids' states values so that this pseudo-color image vividly represents the macroscopic traffic state. The Otsu algorithm is used to find the congested regions automatically. The evolutionary patterns of traffic state are determined by calculating and analyzing the optical flow field of consecutive pseudo-color images. A case study of Beijing macroscopic traffic state observation and analysis is also presented to show the effectiveness of the proposed method.     

Structural Damage Identification via Pseudo Strain Energy Density and Wavelet Packet Transform

Based on strain signals,a new time-domain methodology for detecting the beam local damage has been developed.The pseudo strain energy density (PSED) is defined and used to build two major damage indexes,the average pseudo strain energy density (APSED) and the average pseudo strain energy density rate (APSEDR).Probability and mathematical statistics are utilized to derive a standardized damage index.Furthermore,by applying the analytic relation between the strain energy release rate and the stress intensity factor,an analytic solution of crack depth is derived.For the dynamic strain signals,the wavelet packet transform is used to pre-process measured data.Finally,a numerical simulation indicates that this method can effectively identify the damage location and its absolute severity.     

基于ARIMA模型的外汇汇率时间序列预测研究

利用数据挖掘技术分析外汇汇率时间序列,从时间序列中获得正确的、隐含的、潜在的信息对于金融领域研究具有重要的现实意义。通过数据挖掘中的ARIMA模型,以某银行的外汇汇率时间序列为研究对象,采用差分方法和建模规则,对外汇的卖出价进行了建模与预测。通过与逐步自回归预测模型相比较,ARIMA模型对外汇汇率时间序列数据具有很强的预测能力。     

车牌自动识别系统设计与实现

车牌自动识别分为图像预处理、车牌定位、字符分割、字符识别四步。利用形态学变换对图像进行滤波聚类,HOUGH变换对车牌图像进行水平校正,BP神经网络的方法进行字符识别,最后基于DELPHI7．0环境下设计开发了车牌自动识别系统。     

TEG6128SHEV串联式混合动力城市客车总体设计

详细介绍TEG6128SHEV串联式混合动力城市客车的技术特点、主要参数、底盘和车身设计。     

Performance measures and data requirements for congestion management systems

Many metropolitan areas have started programs to monitor the performance of their transportation network and to develop systems to measure and manage congestion. This paper presents a review of issues, procedures, and examples of application of geographic information system (GIS) technology to the development of congestion management systems (CMSs). The paper examines transportation network performance measures and discusses the benefit of using travel time as a robust, easy to understand performance measure. The paper addresses data needs and examines the use of global positioning system (GPS) technology for the collection of travel time and speed data. The paper also describes GIS platforms and sample user interfaces to process the data collected in the field, data attribute requirements and database schemas, and examples of application of GIS technology for the production of maps and tabular reports.     

改进小波包与长短时记忆组合模型的短时交通流预测

为克服非稳定交通流状态下短时交通流预测精度不高、过分依赖大样本历史数据的缺陷,提出一种改进小波包分析和长短时记忆神经网络组合(IWPA-LSTM)的短时交通流预测方法. 利用功率谱细化的思想改进小波包分析算法对小样本交通流时间序列进行多尺度分解和单支重构. 对低频序列和高频序列进行相空间重构,完成长短时记忆模型的逐层构建,实现本地保存并根据预测精度进行自适应更新,将重构的子序列输入模型训练和预测. 将各子序列的预测值叠加输出IWPA-LSTM最终预测值. 实验结果表明,提出的IWPA-LSTM模型在小样本情况下的预测精度优于经典深度学习模型,具有较强的实用性.     

自动识别系统（AIS）性能综合评价

自动识别系统（AIS）将为船舶交通服务提供新的船舶动态监测与识别手段。文章以通信协议为脉络,全面地比较评估了最具代表性的两种AIS系统在信道利用率、差错控制性能、吞吐率以及监测容量等方面的优劣,进而提出改进AIS技术的思路。