首页> 外文期刊>International Journal of Intelligent Transportation Systems Research >Travel Time Variability and Macroscopic Fundamental Diagram Relationships in Multimodal Networks
【24h】

Travel Time Variability and Macroscopic Fundamental Diagram Relationships in Multimodal Networks

机译:多峰网络中的旅行时间变异性和宏观基本图关系

获取原文
获取原文并翻译 | 示例
           

摘要

Travel time variability (TTV) must be considered in evaluations of the effect of traffic control on transport network performance.The objective of this paper was to investigate the relationship between a travel time variability diagram (TTVD), which relatesaverage travel time to its standard deviation, and a macroscopic fundamental diagram (MFD), which relates average networkflow to its average density. Recent studies indicated hysteresis loops in TTVD (for journeys with the same average travel time, theTTVs for departures as congestion dissipates are higher than the TTVs for departures during congestion onset) and in the MFD(with the same network density, higher network flows occur during congestion onset than during congestion offset). Based on asimulation results, we evaluated the correlations between these loops in a multimodal network. Strong correlations were foundbetween TTVD and MFD loops. Next, we developed combined diagrams of travel time standard deviations against network flowand density. These diagrams revealed the presence of a critical network flow and density during congested periods; beyond thesecritical points, the TTV increases sharply. These findings may facilitate evaluation of management strategies that consider bothtraffic flow and reliability measures.
机译:在评估交通控制对交通网络性能的影响时,必须考虑旅行时间可变性(TTV)。 r n本文的目的是研究与旅行时间可变性图(TTVD)之间的关系, r 平均行进时间与其标准差,以及一个宏观基本图(MFD),该图将平均网络 r n流量与其平均密度相关联。最近的研究表明,在TTVD中(对于平均旅行时间相同的旅程,由于拥塞消散而出发的 r nTTV会比在拥堵发生时出发的TTV滞后),并且在MFD r n中具有滞后回线如果网络密度较高,则在拥塞发作期间会比在拥塞偏移期间发生更高的网络流量。基于模拟结果,我们评估了多模式网络中这些回路之间的相关性。在TTVD和MFD回路之间发现强相关性。接下来,我们开发了旅行时间标准偏差对网络流量 r n和密度的组合图。这些图显示了在拥挤的时期中存在关键的网络流量和密度。超出这些关键点,TTV急剧增加。这些发现可能有助于评估同时考虑交通流量和可靠性措施的管理策略。

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