初始条件对高速铁路车桥耦合动力响应的影响

列车驶入桥梁时,必然带有一定的初始条件,此值对计算车桥耦合振动中桥梁的动力响应有较大的影响。针对这一问题,通过在路基上运行不同的长度区间,以不同的行车速度、不同的车辆类型,对高速铁路车桥耦合振动的初始条件加以分析。可知当行车速度相同时,取不同的行车区间,竖向位移几乎不受影响,横向位移与所选取的运行区间有关。桥梁跨中横向位移还与选取的车型有关。     

公路平面信号交叉口左转车道长度设计

平面交叉口作为道路系统的一个重要组成部分,其服务水平的好坏对整个道路系统的安全和效率有着重要的影响。因为来自不同方向的车流在此处合流、分流和交叉,其中频繁的左转车辆阻碍直行车流的行驶,降低了交叉口的通行能力,增加了交叉口的延误,并增大交通事故率。如果合理设置左转车道能够有效地将左转车辆从直行车流中分离出来,减小车流速度方差,并降低追尾事故的发生;而左转车道,长度的设计是设置左转车道的关键元素,本文主要是针对信号交叉口选取适当的设计指标建立模型,并通过TSIS软件进行仿真分析,得出专用左转相位下的左转车道排队长度,进而计算出左转车道的设计长度。     

砂土路基湿化变形的有限元分析

针对砂土湿化变形计算中N obari法和单线法的不足,采用初应力增量有限元的分析方法,并编制相应的计算程序,对某高速公路路基砂土三轴试验得到的Duncan-Chuang模型参数进行计算分析。分析结果表明,该高速公路砂土路基在长期浸水和车辆荷载作用下,将发生一些附加沉降变形。虽然沉降变形不大,对柔性路面结构的影响较小,但仍然需要引起公路养护部门的重视。     

信号交叉口增量延误分析

为了对交通信号控制参数进行优化,需对交叉口延误进行定量分析与计算.对已有的平面信号交叉口增量延误模型提出了改进,并且对该模型进行了校正.针对交叉口处于非饱和与过饱和状态下的交通状况,用排队论分析并推导了交叉口增量延误公式.其结果既完善了现有的延误计算理论,又可为设置信号相位提供理论依据.     

高速公路主线流量对入口加速车道设计影响分析

提出了以高速公路加速车道合流等待理论为基础的加速车道长度设计方法和以排队论为孤入口匝道交通控制方法。这些方法克服了传统方法中忽视主线交通量的情况，特别是在主线较 挤的条件下加速车道上排队的情况，地正确地设计加速车道长度，避免交通拥挤和 交通事故有一定的理论意义。     

槽渔滩隧道初期支护变形开裂施工处治

针对四川乐山至雅安高速公路槽渔滩隧道左洞段初期支护变形开裂情况，对变形开裂产生的原因进行分析，并结合现场实际情况及监控量测结果，采取临时加固初期支护、固结围岩并永久堵水等措施，使处治变形开裂段达到了预期效果。     

考虑超孔压随深度变化一维固结计算式的推导

对于含有深厚粘土的饱和地基,路基荷载引起的压缩层中的附加应力近似呈折线形衰减。为了进一步提高固结计算精度,以太沙基一维固结理论为基础,推导出了初始超孔压随深度变化为折线形的孔隙水压力计算式,并讨论了计算式的收敛速度,在保证精度的基础上适当进行一定的简化,得出了整个压缩层的平均固结度计算式。     

集装箱港区排队缓冲区交通设计研究

通过分析研究国内外集装箱港区排队缓冲区形式,提出了排队缓冲区分类方法以及功能组成结构,并在大型车辆外廓尺寸和转弯半径研究基础上,创新性地对减速换道功能区、临时等候功能区和排队检查功能区的交通设计内容及方法展开研究。     

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.     

Real time queue length estimation for signalized intersections using travel times from mobile sensors

We study how to estimate real time queue lengths at signalized intersections using intersection travel times collected from mobile traffic sensors. The estimation is based on the observation that critical pattern changes of intersection travel times or delays, such as the discontinuities (i.e., sudden and dramatic increases in travel times) and non-smoothness (i.e., changes of slopes of travel times), indicate signal timing or queue length changes. By detecting these critical points in intersection travel times or delays, the real time queue length can be re-constructed. We first introduce the concept of Queue Rear No-delay Arrival Time which is related to the non-smoothness of queuing delay patterns and queue length changes. We then show how measured intersection travel times from mobile sensors can be processed to generate sample vehicle queuing delays. Under the uniform arrival assumption, the queuing delays reduce linearly within a cycle. The delay pattern can be estimated by a linear fitting method using sample queuing delays. Queue Rear No-delay Arrival Time can then be obtained from the delay pattern, and be used to estimate the maximum and minimum queue lengths of a cycle, based on which the real-time queue length curve can also be constructed. The model and algorithm are tested in a field experiment and in simulation.