基于模型不一致性补偿的高速公路交通自适应排放控制

T. A. Várkonyi, J. Tar, I. Rudas
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引用次数: 1

摘要

在交通堵塞和空气污染十分普遍的今天,控制废气的排放率是一项重要的任务。许多困难使这个问题更加复杂,例如,目前的排放模型有时需要太多的信息,因此使用它们是相当复杂的。另一方面,流体动力交通模型背后的基础物理并没有提出独特的数学公式,因此我们需要自适应控制器,它可以迭代地改进由粗糙初始模型获得的预测,而无需调整特定数学结构的参数。本文给出了一种确定实际参数范围内的水动力模型的平稳解的简单方法。该方法是基于鲁棒不动点变换(RFPT)的自适应控制,只需要考虑交通密度和速度这两个影响排放的主要因素。为了控制,它采用电动道路标志,规定速度和允许从前扇区坡道进入的速度。这是RFPT的一个新领域,但正如仿真所示,它成功地适用于该问题。
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Adaptive emission control of freeway traffic via compensation of modeling inconsistences
Nowadays when traffic jams and air pollution are very common, controlling the emission rate of the exhaust fumes is a significant task. Many difficulties make this problem more sophisticated, for example the present emission models sometimes need too many information so it is quite complex to work with them. On the other hand, the underlaying physics behind the hydrodynamic traffic models does not suggest unique mathematical formulation so we need adaptive controllers that iteratively improve the forecasts obtained by a rough initial model without tuning the parameters of a particular mathematical structure. In this paper a simple method is shown for determining the stationary solutions obtained from a hydrodynamic model for a realistic parameter range. The method is based on Robust Fixed Point Transformations (RFPT)-based adaptive control that needs only the main factors in the emission: the traffic density and velocity. For controlling it applies electric road signs for the prescribed velocities and allowed ingress rate from the ramp in the preceding sector. This is a new area for the RFPT, but as the simulations show it is successfully applyable to the problem.
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