首页> 外文期刊>Procedia - Social and Behavioral Sciences >Three-velocity Queueing Model for Congested Traffic Flow Simulation
【24h】

Three-velocity Queueing Model for Congested Traffic Flow Simulation

机译:拥挤交通流模拟的三速排队模型

获取原文
       

摘要

Pinned Localized Clusters (PLC), Stop-and-Go Waves (SGW), Oscillating Congested Traffic (OCT), and Homogeneous Congested Traffic (HCT) are frequently observed vehicle queueing phenomena around ramping regions. In order to explain the origins and transition conditions of these congested traffic flow patterns, a concise two-velocity (free flow velocity and congested flow velocity) queueing model was recently designed by Chen et al., 2012b to quantitatively analyze the formation, evolution and dissipation of jam queues. It can be viewed as a specialized Newell's simplified car-following model (Newell, 2002) which assumes inflow rate dependent jam queue joining times and constant jam queue departing times. PLC/HCT patterns can be well reproduced via this model, but no correct SGW/OCT patterns can be achieved. To solve this problem, a new queueing model is proposed in this paper that adopts three kinds of vehicles velocities (free flow velocity, slow flow velocity and jam flow velocity). The transitions between slow and jam flows are controlled by duration of slow flow queues. Simulations show that this new model could well reproduce SGW/OCT patterns observed in practice. Analysis reveals that convective instability of this new queueing model makes it generate oscillation features. This conclusion is consistent with Ward and Wilson, 2011 and Treiber and Kesting, 2011.
机译:固定局部群集(PLC),走走停停(SGW),交通拥堵振荡(OCT)和同类交通拥堵(HCT)是斜坡区域附近经常出现的车辆排队现象。为了解释这些拥堵交通流模式的起源和过渡条件,Chen等人(2012b)最近设计了一种简洁的两速(自由流速度和拥堵流速度)排队模型,以定量分析其形成,演变和清除卡纸队列。可以将其视为Newell的简化的汽车跟踪模型(Newell,2002),该模型假定流入量取决于堵塞队列加入时间和恒定堵塞队列离开时间。通过此模型可以很好地复制PLC / HCT模式,但是无法获得正确的SGW / OCT模式。为了解决这个问题,本文提出了一种新的排队模型,该模型采用三种车辆速度(自由流速,慢流速和阻塞流速)。慢流量和阻塞流量之间的过渡由慢流量队列的持续时间控制。仿真表明,该新模型可以很好地重现实践中观察到的SGW / OCT模式。分析表明,这种新排队模型的对流不稳定性使其产生振荡特征。这一结论与Ward和Wilson(2011)以及Treiber and Kesting(2011)一致。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号