国产bbaaaaa片,成年美女黄网站色视频免费,成年黄大片,а天堂中文最新一区二区三区,成人精品视频一区二区三区尤物

首頁> 外文學(xué)位 >Use of microscopic traffic simulation and field data to investigate saturated and free flow traffic conditions at arterial signals.
【24h】

Use of microscopic traffic simulation and field data to investigate saturated and free flow traffic conditions at arterial signals.

機譯：使用微觀交通模擬和現(xiàn)場數(shù)據(jù)來研究動脈信號處的飽和和自由流動交通狀況。

獲取原文
獲取原文并翻譯 | 示例
  • 摘要
  • 著錄項
  • 相似文獻
  • 相關(guān)主題

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.
機譯：多年來，微觀交通模擬已經(jīng)發(fā)展成為分析復(fù)雜和擁擠的交通網(wǎng)絡(luò)的主要工具。但是，盡管流量微仿真具有魯棒性和廣泛的用途，但仍然存在一些差距和局限性，這些差距和局限性可能會影響這些模型的結(jié)果的準確性。而且，從不飽和狀態(tài)到飽和狀態(tài)的過渡過程中交通特性和駕駛員行為的變化還沒有被完全理解。本文針對這兩個問題。微觀模擬和現(xiàn)場數(shù)據(jù)采集所選擇的道路網(wǎng)是位于美國阿拉巴馬州塔斯卡盧薩市的一條六車道主要交通干線。整個研究工作包含三個相關(guān)的研究工作，每個工作都是圍繞本論文的主題進行的。第一個研究重點是微觀交通模擬的敏感性和準確性。具體來說，它研究了有效性度量（MOE）對模擬初始化時間，所需重復(fù)次數(shù)以及MOE變異的主要貢獻者的敏感性。第二項研究重點是對運行參數(shù)的現(xiàn)場調(diào)查，包括在不同交通流量水平下的間隙接受和車道變換。最后的研究工作是使用現(xiàn)有的車道變更參數(shù)嵌入/默認值（車道變更持續(xù)時間和前瞻距離），而不是使用從現(xiàn)場觀察中獲得的自由流動和飽和交通狀況值，來模擬結(jié)果的變化。通過所有的研究工作，得出以下廣泛的結(jié)論：（1）接近飽和的信號處的交通流仍然難以分析，并且交通參數(shù)之間的相互作用還沒有得到很好的理解。 （2）當(dāng)?shù)湫蛣用}的交通流量接近飽和時，駕駛員承擔(dān)更高的風(fēng)險（例如：駕駛員接受較小的差距）。 （3）對差距接受和換道的統(tǒng)計分析直觀地證實了懷疑。 （4）現(xiàn)有的交通微仿真工具簡化了仿真模型中的某些交通參數(shù)。可以記錄或重新校準這些參數(shù)，以提高仿真結(jié)果的準確性。 （5）在流量微仿真中，增加數(shù)量的仿真運行無疑有助于穩(wěn)定MOE的可變性，建議使用更長的仿真時間（例如60分鐘）以減少MOE的可變性。

著錄項

  • 作者

    Gurupackiam, Saravanan.;

  • 作者單位

    The University of Alabama.;

  • 授予單位 The University of Alabama.;
  • 學(xué)科 Engineering Civil.Transportation.
  • 學(xué)位 Ph.D.
  • 年度 2009
  • 頁碼 121 p.
  • 總頁數(shù) 121
  • 原文格式 PDF
  • 正文語種 eng
  • 中圖分類
  • 關(guān)鍵詞

相似文獻

  • 外文文獻
  • 中文文獻
  • 專利
獲取原文

客服郵箱：kefu@zhangqiaokeyan.com

京公網(wǎng)安備：11010802029741號 ICP備案號：京ICP備15016152號-6 六維聯(lián)合信息科技 (北京) 有限公司?版權(quán)所有

  • 客服微信

  • 服務(wù)號