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首页> 外文学位 >Use of microscopic traffic simulation and field data to investigate saturated and free flow traffic conditions at arterial signals.
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Use of microscopic traffic simulation and field data to investigate saturated and free flow traffic conditions at arterial signals.

机译：使用微观交通模拟和现场数据来研究动脉信号处的饱和和自由流动交通状况。

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摘要

Over the years microscopic traffic simulation has evolved as the premier tool to analyze complex and congested transportation networks. However, despite the robustness and wide spread use of traffic microsimulation, some gaps and limitations still exist that can affect the accuracy of these models' results. Moreover the change of traffic characteristics and driver behavior during the transition from an undersaturated to a saturated condition is not completely understood. This dissertation addresses these two issues.The road network chosen for the microscopic simulation and field data collection is a six lane main traffic artery located in Tuscaloosa, Alabama, USA. The entire research work contains three related research efforts, each conducted along the topic of this dissertation. The first research thrust focused on the sensitivity and accuracy of microscopic traffic simulation. Specifically it investigated the sensitivity of measures of effectiveness (MOEs) to simulation initialization time, required number of repetitions, and major contributors of variation in MOEs. The second research thrust dealt with field investigation of operational parameters including gap acceptance and lane changing during different levels of traffic flow. The final research effort explored the variations in simulation results using existing embedded/default values of lane change parameters (lane change duration and look ahead distance), versus using values obtained from field observation for both free flow and saturated traffic conditions. From all the research efforts, the following broad conclusions were drawn, (1) Traffic flows at signals that are approaching saturation are still complex to analyze, and the interactions between traffic parameter are not well understood. (2) When traffic flow on a typical arterial approaches saturation, drivers take higher risks (eg: drivers accept smaller gaps). (3) A statistical analysis of gap acceptance and lane changing confirmed what is suspected intuitively. (4) Existing traffic microsimulation tools simplify some of the traffic parameters in simulation models. These parameters may be recorded or recalibrated for better accuracy of simulation results. (5) In traffic microsimulation an increased number of simulation runs certainly helps in stabilizing the variability of the MOE and it is advisable to use a longer simulation time (eg. 60 minutes) to reduce the variation of MOEs.
机译：多年来，微观交通模拟已经发展成为分析复杂和拥挤的交通网络的主要工具。但是，尽管流量微仿真具有鲁棒性和广泛的用途，但仍然存在一些差距和局限性，这些差距和局限性可能会影响这些模型的结果的准确性。而且，从不饱和状态到饱和状态的过渡过程中交通特性和驾驶员行为的变化还没有被完全理解。本文针对这两个问题。微观模拟和现场数据采集所选择的道路网是位于美国阿拉巴马州塔斯卡卢萨市的一条六车道主要交通干线。整个研究工作包含三个相关的研究工作，每个工作都是围绕本论文的主题进行的。第一个研究重点是微观交通模拟的敏感性和准确性。具体来说，它研究了有效性度量（MOE）对模拟初始化时间，所需重复次数以及MOE变异的主要贡献者的敏感性。第二项研究重点是对运行参数的现场调查，包括在不同交通流量水平下的间隙接受和车道变换。最后的研究工作是使用现有的车道变更参数嵌入/默认值（车道变更持续时间和前瞻距离），而不是使用从现场观察中获得的自由流动和饱和交通状况值，来模拟结果的变化。通过所有的研究工作，得出以下广泛的结论：（1）接近饱和的信号处的交通流仍然难以分析，并且交通参数之间的相互作用还没有得到很好的理解。 （2）当典型动脉的交通流量接近饱和时，驾驶员承担更高的风险（例如：驾驶员接受较小的差距）。 （3）对差距接受和换道的统计分析直观地证实了怀疑。 （4）现有的交通微仿真工具简化了仿真模型中的某些交通参数。可以记录或重新校准这些参数，以提高仿真结果的准确性。 （5）在流量微仿真中，增加数量的仿真运行无疑有助于稳定MOE的可变性，建议使用更长的仿真时间（例如60分钟）以减少MOE的可变性。

著录项

  • 作者

    Gurupackiam, Saravanan.;

  • 作者单位

    The University of Alabama.;

  • 授予单位 The University of Alabama.;
  • 学科 Engineering Civil.Transportation.
  • 学位 Ph.D.
  • 年度 2009
  • 页码 121 p.
  • 总页数 121
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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