...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Transportation Research Procedia >Traffic Control and Route Choice; Capacity Maximization and Stability
【24h】

Traffic Control and Route Choice; Capacity Maximization and Stability

机译：交通控制和路线选择;容量最大化和稳定性

获取原文
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

This paper presents idealised natural general and special dynamical models of day-to-day re-routeing and of day to day green-time response. Both green-time response models are based on the responsive control policyP0introduced in Smith (1979a, b, c 1987). Several results are proved. For example, it is shown that, for any steady feasible demand within a flow model, if the general day to day re-routeing model is combined with the general day to day green-time response model then under natural conditions any (flow, green-time) solution trajectory cannot leave the region of supply-feasible (flow, green-time) pairs and costs are bounded. Throughput is maximised in the following sense. Given any constant feasible demand; this demand is met as any routeing / green-time trajectory evolves (following either the general or the special dynamical model). The paper then considers simple “pressure driven” responsive control policies, with explicit signal cycles of fixed positive duration. A possible approach to dynamic traffic control allowing for variable route choices is outlined. It is finally shown that modified Varaiya (2013) and Le at al (2013) pressure-driven responsive controls may not maximise network capacity, by considering a very simple one junction network. It is shown that (with each of these two modified policies) there is a steady demand within the capacity of the network for which there is no Wardrop equilibrium consistent with the policy. In contrast, responsiveP0on this simple network does maximise throughput at a quasi-dynamic user equilibrium consistent withP0; queues and delays remain bounded in natural dynamical evolutions in this case. It is to be expected that thisP0result may be extended to allow for certain time-varying demands on a much wider variety of networks; to show that this is indeed the case is a challenge for the future.
机译：本文提出了理想的自然常规和特殊动力学模型，用于日常重新路由和日常绿色响应。两种绿时响应模型均基于Smith（1979a，b，c 1987）引入的响应控制策略P0。证明了几个结果。例如，对于流量模型内的任何稳定可行需求，如果将常规的日常重新路由模型与常规的日常绿色时间响应模型结合起来，那么在自然条件下，任何（流量，绿色时间）解决方案轨迹不能离开供应可行（流量，绿时）对的区域，并且成本受到限制。在以下意义上，吞吐量被最大化。给定任何持续的可行需求;随着任何路线选择/绿色时间轨迹的发展（无论是通用动力学模型还是特殊动力学模型），都可以满足这一需求。然后，本文考虑具有固定正持续时间的显式信号周期的简单“压力驱动”响应控制策略。概述了一种动态交通控制的可能方法，该方法允许选择可变的路线。最后表明，通过考虑一个非常简单的单结网络，经过修改的Varaiya（2013）和Le等人（2013）的压力驱动响应控制可能无法最大化网络容量。结果表明（使用这两个修改后的策略中的每一个）在网络容量内存在稳定的需求，对于该需求，没有与该策略一致的Wardrop均衡。相反，在这个简单网络上的响应P0确实在与P0一致的准动态用户平衡下使吞吐量最大化。在这种情况下，排队和延误仍然受自然动力演变的限制。可以预期，可以扩展此P0结果，以允许在更广泛的各种网络上满足某些随时间变化的需求;证明确实如此是对未来的挑战。

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