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Perimeter gating control and citywide dynamic user equilibrium: A macroscopic modeling framework

机译:周长门控和全市动态用户平衡:宏观建模框架

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In recent years, several perimeter control strategies have been proposed for traffic management in cities. The common factor found in these works is the use of Macroscopic Fundamental Diagram (MFD) models to describe the dynamics of the network and optimize traffic inside the perimeter by manipulating perimeter inflows. Perimeter gating control strategies are attractive for traffic management inside the inner city. However, it inevitably creates a negative impact on the traffic outside. Most of the works in this research area have neglected vehicle re-routing outside the controlled perimeter, i.e., they do not consider demand elasticity to the central region resulting from gating and the related queues. In this paper, we propose a global modeling framework capable of assessing the effect of perimeter gating control (in terms of queue, emission, and total time spent) on the full network, considering demand elasticity resulting from Dynamic User Equilibrium (DUE). Classical Proportional-Integral (PI) control scheme is used to control traffic congestion inside a central region (reservoir). The modeling framework is comprised of: (i) an accumulation-based MFD model to reproduce traffic dynamics inside the reservoir, (ii) point-queue model to represent queuing vehicles on inbound links to the gating points, and (iii) a time-dependent travel time profile based on a steady-state approximation of MFD dynamics to characterize the alternative road network (bypass). DUE is then implemented, considering instantaneous predicted travel time. This determines how the demand to the inner region is affected by the gating. The functioning of the global system is assessed by total time spent and NOx and CO2 emissions inside the reservoir and for the full network. The presented simulation results show that the perimeter gating control helps to maintain congestion at the desired level with significant improvements in the total time spent and the mean speed in the network. However, it shows a slight increase in the queues. As expected, deviation to the bypass alternative is significant and should not be neglected when carrying out a global assessment of gating system performance.
机译:近年来,已经提出了几种用于城市交通管理的周边控制策略。这些工作中发现的共同因素是使用宏观基本图(MFD)模型来描述网络的动态并通过操纵周边流量来优化周边内部的流量。外围选通控制策略对内城区的交通管理很有吸引力。但是,它不可避免地会对外部流量产生负面影响。该研究领域中的大多数工作都忽略了在受控范围外进行车辆改道,即,他们没有考虑到门控和相关排队对中央区域的需求弹性。在本文中,我们考虑到动态用户平衡(DUE)带来的需求弹性,提出了一个全局建模框架,该框架能够评估外围选通控制对整个网络的影响(根据队列,发射和总花费时间)。经典比例积分(PI)控制方案用于控制中心区域(水库)内部的交通拥堵。该建模框架包括:(i)基于累积的MFD模型,用于重现水库内部的交通动态;(ii)点队列模型,用于表示到选通点的入站链路上的排队车辆,以及(iii)时间-基于MFD动力学的稳态近似的非连续行驶时间曲线,以表征替代道路网络(旁路)。然后考虑瞬时的预计旅行时间,实施DUE。这确定了对内部区域的需求如何受到门控的影响。全球系统的功能通过总时间以及储层内部和整个网络的NOx和CO2排放进行评估。给出的仿真结果表明,外围选通控制有助于将拥塞保持在所需的水平,并显着提高了总花费时间和网络平均速度。但是,它显示队列中的轻微增加。不出所料,对旁路选择的偏差是很大的,在对门控系统性能进行全局评估时不应忽略。

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