Modeling capacity flexibility of transportation networks

Flexibility of the transportation system is one of the important performance measures needed to deal with demand changes. In this paper, we provide a quantitative assessment of capacity flexibility for the passenger transportation network using bi-level network capacity models. Two approaches for assessing the value of capacity flexibility are proposed. One approach is based on the concept of reserve capacity, which reflects the flexibility with respect to changes in terms of demand volume only. The second approach allows for variations in the demand pattern in addition to changes in demand volume in order to more fully capture demand changes. Two models are developed in the second approach to consider two types of capacity flexibility. The total capacity flexibility allows all users to have both route choice and destination choice when estimating capacity flexibility. The limited capacity flexibility estimates how much more demand volume could be added to a fixed demand pattern by allowing the additional demand to deviate from the fixed demand pattern. Numerical examples are provided to demonstrate the different concepts of capacity flexibility for a passenger transportation system under demand changes.     

彩信技术在交通违法主动告知中的应用

由于目前的交通违法告知方法存在着信息不对称问题,导致车辆驾驶人不能实时获知自己的交通违法情况,故可能出现自身的重复性交通违法或由套牌车辆的交通违法而被高额罚款。为此,本文提出了一个基于GPRS MODEM通讯技术的彩信发布系统。作者采用C#.net开发了图像处理模块,对电子警察系统抓拍的违法原始图片进行切割并压缩,构成...     

多孔管孔出流速度和流量影响因素数值仿真及试验

本文通过控制变量法进行工况设计,对多孔管进行数值模拟和试验对比,分别研究多孔管管径、管长、孔径、孔间距、水压五个变量对多孔管孔出流速及流量的影响。使用ANSYS软件中的DesignModeler模块进行几何建模,ICEM中的O-Block技术进行流体计算域网格划分,Fluent软件进行求解。研究发现,多孔管管内径和管长的增加均使孔出流速和出流量减小,管长度的增加会影响孔出流沿程的均匀性;孔径的增大使孔出流速明显减小,且影响孔出流沿程的均匀分布,出流量受孔径的影响较复杂,在孔径不超过2.5mm时可以认为出流量与孔径的平方成正比;孔间距的增大对孔出流速和沿程均匀分布基本无影响,而与出流量成正比。最后将数值模拟结果和试验进行对比,发现试验数据所反映的多孔管出流量与管内径、管长、孔径和孔间距的关系与数值模拟基本吻合,而试验中管的出流量普遍比数值模拟小。     

Multi-criteria optimization of traffic signals: Mobility,safety, and environment

Two-dimensional multi-objective optimizations have been used for decades for the problems in traffic engineering although only few times so far in the optimization of signal timings. While the other engineering and science disciplines have utilized visualization of 3-dimensional Pareto fronts in the optimization studies, we have not seen many of those concepts applied to traffic signal optimization problems. To bridge the gap in the existing knowledge this study presents a methodology where 3-dimensional Pareto Fronts of signal timings, which are expressed through mobility, (surrogate) safety, and environmental factors, are optimized by use of an evolutionary algorithm. The study uses a segment of 5 signalized intersections in West Valley City, Utah, to test signal timings which provide a balance between mobility, safety and environment. In addition, a set of previous developed signal timing scenarios, including some of the Connected Vehicle technologies such as GLOSA, were conducted to evaluate the quality of the 3-dimensional Pareto front solutions. The results show success of 3-dimensinal Pareto fronts moving towards optimality. The resulting signal timing plans do not show large differences between themselves but all improve on the signal timings from the field, significantly. The commonly used optimization of standard single-objective functions shows robust solutions. The new set of Connected Vehicle technologies also shows promising benefits, especially in the area of reducing inter-vehicular friction. The resulting timing plans from two optimization sets (constrained and unconstrained) show that environmental and safe signal timings coincide but somewhat contradict mobility. Further research is needed to apply similar concepts on a variety of networks and traffic conditions before generalizing findings.     

Hysteresis phenomena of a Macroscopic Fundamental Diagram in freeway networks

Observations of traffic pairs of flow vs. density or occupancy for individual locations in freeways or arterials are usually scattered about an underlying curve. Recent observations from empirical data in arterial networks showed that in some cases by aggregating the highly scattered plots of flow vs. density from individual loop detectors, the scatter almost disappears and well-defined macroscopic relations exist between space-mean network flow and network density. Despite these findings for the existence of well-defined relations with low scatter, these curves should not be universal. In this paper we investigate if well-defined macroscopic relations exist for freeway network systems, by analyzing real data from Minnesota’s freeways. We show that freeway network systems not only have curves with high scatter, but they also exhibit hysteresis phenomena, where higher network flows are observed for the same average network density in the onset and lower in the offset of congestion. The mechanisms of traffic hysteresis phenomena at the network level are analyzed in this paper and they have dissimilarities to the causes of the hysteresis phenomena at the micro/meso level. The explanation of the phenomenon is dual. The first reason is that there are different spatial and temporal distributions of congestion for the same level of average density. Another reason is the synchronized occurrence of transitions from individual detectors during the offset of the peak period, with points remain beneath the equilibrium curve. Both the hysteresis phenomenon and its causes are consistently observed for different spatial aggregations of the network.     

自适应信号控制下交叉口延误计算方法研究

为了研究交通信号的自适应控制方法,需要对交叉口延误进行定量的分析与计算。本文根据信号交叉口理论,在以往定时信号延误研究的基础上,基于交叉口一个进口方向的车辆延误分析,推导了信号控制交叉口不同交通运行状况下的交叉口延误公式;进而对自适应信号控制下交叉口延误的计算方法进行了研究,提出了自适应信号控制下交叉口延误的计算方法———根据交叉口各进口方向不同的交通运行状况以及所处的相序选择相应的公式计算交叉口各进口方向的车辆延误,然后对其求和,得到交叉口延误。     

汽车-行人撞击事故过程仿真研究

根据中国人体特征参数建立了16刚体的行人模型,在人体的主要部位生成简易的弹簧阻尼运动关节。建立汽车模型与汽车行人碰撞模型,应用ADAMS软件模拟汽车行人碰撞过程。通过模拟不同速度下的汽车人体撞击,对事故发生过程进行再现,比较仿真数据和事故现场数据得到了事故中的汽车速度,从而为交通事故提供了一种有效的处理方法。     

城市大型建设项目交通影响分析

城市建设项目交通影响分析(TIA)能有效控制城市土地建设项目对交通的影响。文章分别从执行局面和研究层面阐述了TIA的主要内容,并结合国内外研究现状,分析了TIA各项关键指标和技术方法目前所存在的缺陷,指出目前TIA研究所存在的若干问题,同时总结归纳了建设项目进行TIA的一般流程。     

信息融合技术在交通流量预测中的应用

交通流量预测是智能运输系统的一个重要组成内容，但传统的数学方法一直未能取得令人满意的预测效果。信息融合技术是最近十多年来新兴的技术。它通过合理协调多源数据，充分综合有用信息，在较短的时间内，以较小的代价获得对未来交通流量的预测。实验证明，借助信息融合理论建立的聚类分析模型和神经网络模型对未来交通流量的预测比较准确，有实际意义。     

计算流体动力学在轨道交通环控系统分析中的应用

介绍了近年来发展较快的一种计算机辅助设计技术——计算流体动力学(CFD),并将其与世界上第一个地铁环控计算机模拟软件SES进行比较,对CFD在城市轨道交通环控系统中的应用进行了分析和探讨。