A shockwave profile model for traffic flow on congested urban arterials

In this paper a new traffic flow model for congested arterial networks, named shockwave profile model (SPM), is presented. Taking advantage of the fact that traffic states within a congested link can be simplified as free-flow, saturated, and jammed conditions, SPM simulates traffic dynamics by analytically deriving the trajectories of four major shockwaves: queuing, discharge, departure, and compression waves. Unlike conventional macroscopic models, in which space is often discretized into small cells for numerical solutions, SPM treats each homogeneous road segment with constant capacity as a section; and the queuing dynamics within each section are described by tracing the shockwave fronts. SPM is particularly suitable for simulating traffic flow on congested signalized arterials especially with queue spillover problems, where the steady-state periodic pattern of queue build-up and dissipation process may break down. Depending on when and where spillover occurs along a signalized arterial, a large number of queuing patterns may be possible. Therefore it becomes difficult to apply the conventional approach directly to track shockwave fronts. To overcome this difficulty, a novel approach is proposed as part of the SPM, in which queue spillover is treated as either extending a red phase or creating new smaller cycles, so that the analytical solutions for tracing the shockwave fronts can be easily applied. Since only the essential features of arterial traffic flow, i.e., queue build-up and dissipation, are considered, SPM significantly reduces the computational load and improves the numerical efficiency. We further validated SPM using real-world traffic signal data collected from a major arterial in the Twin Cities. The results clearly demonstrate the effectiveness and accuracy of the model. We expect that in the future this model can be applied in a number of real-time applications such as arterial performance prediction and signal optimization.     

A network option portfolio management framework for adaptive transportation planning

A real option portfolio management framework is proposed to make use of an adaptive network design problem developed using stochastic dynamic programming methodologies. The framework is extended from Smit’s and Trigeorgis’ option portfolio framework to incorporate network synergies. The adaptive planning framework is defined and tested on a case study with time series origin-destination demand data. Historically, OD time series data is costly to obtain, and there has not been much need for it because most transportation models use a single time-invariant estimate based on deterministic forecasting of demand. Despite the high cost and institutional barriers of obtaining abundant OD time series data, we illustrate how having higher fidelity data along with an adaptive planning framework can result in a number of improved management strategies. An insertion heuristic is adopted to run the lower bound adaptive network design problem for a coarse Iran network with 834 nodes, 1121 links, and 10 years of time series data for 71,795 OD pairs.     

基于壅塞理论的CNG加气管流量计算分析

为了计算CNG加气系统的高压胶管的流量,以气体动力学为基础,建立等截面一维定常绝热摩擦流动的数学模型.利用VC+ +语言编制界面计算程序对模型进行编程求解,对壅塞状态和非壅塞状态下流量以及出口压力进行计算和拟合.当天然气汽车储瓶内的压力小于临界压力时,加气流量最大,且与胶管两端的压差无关,并计算出最大流量与胶管管长的关...     

高压燃气管道储气能力分析

高压燃气管道储气能力与两端压力和管长有着密切的联系.为了得到高压管道的储气量与压力和管长的关系,利用稳态仿真模型,采用四阶龙格-库塔法对模型进行求解,对求出的沿线压力进行线性拟合,得到沿线压力变化公式.结合储气定义推导出储气量与管长的关系式,并得到实例验证.从关系式来看,当管长等于最优管长时储气量最大.     

重庆主城区江段溢油模型及数值试验研究

采用曲线正交网格处理复杂边界问题,在环境流体动力学模型DELFT的基础上,建立了三峡库区重庆段溢油模拟模型,对船用柴油发生泄漏后在该河段扩展、漂移、蒸发和岸线吸附等进行了数值模拟,并结合溢油模拟结果提出了相应的溢油应急对策.     

两种短时交通流混沌预测方法分析

短时交通流预测是智能交通系统的核心内容和交通信息服务、交通诱导的重要基础。采用符合交通流特性的混沌理论对短期交通流进行预测。在相空间重构和混沌识别的基础上,建立短期交通流加权一阶局域预测模型和基于最大Lyapunov指数的预测模型,并对一组实际的交通流数据进行预测。仿真结果表明:两种方法都能较准确的预测交通流,但最大Lyapunov指数预测模型的预测精度相对较高。     

典型客流密集区的非机动车停放组织优化方法研究

机非混行是我国道路交通的一大特性,非机动车在城市交通中的地位不容忽视.本研究主要关注在典型的客流密集区的非机动车停放管理,其中典型地点如城市轨道交通换乘枢纽、公园、医院等公共服务性较强的客流发生吸引源.通过总结客流密集区的非机动车停放存在的问题,提出对应的可实施措施.在北京市城铁五道口附近非机动车停放改善中,通过设置双...     

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城市群是区域城市大系统中具有较强活力的子系统,区域优势显著,在空间联系上具有网络性特点. 客观准确地评价各节点的重要度,是城市群区域公路网布局规划中的一个重要环节. 针对城市群的特点,在公路网节点重要度评估中增加了城市流强度评价指标,节点重要度计算中采用了因子分析法进行客观赋权以避免各指标主观赋权的随意性,为进一步更好区分各节点的重要度等级,采用K-Means聚类方法客观划分了城市节点重要度的类别. 最后以中原城市群为例进行了节点重要度的实例计算,结果表明本文方法具有较好的应用价值.     

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运用复杂网络理论和可视化技术,从网络规模、边权分布、点权分布和网络弹性等角度,对2003—2008年中国和美国航空客流加权网络的结构进行对比分析. 研究表明：中国航空客流网络的规模与美国网络差异较大,但其承担航空客流的能力较强,发展潜力极大;中国和美国航空客流网络的边权分布和点权分布都服从幂律分布,呈现出应对随机攻击的稳定性和协同攻击的脆弱性;对中国和美国网络弹性的对比分析表明,多枢纽网络结构的稳定性远强于“三足鼎形”网络,中国应加强对枢纽的建设和管理.