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首页> 外文期刊>Transportation research >Resolving freeway freeway jam waves by discrete first-order model-based predictive control of variable speed limits
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Resolving freeway freeway jam waves by discrete first-order model-based predictive control of variable speed limits

机译：通过基于离散一阶模型的变速限制的预测控制来解决高速公路的高速公路拥堵波

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摘要

In this paper we develop a fast model predictive control (MPC) approach for variable speed limit coordination to resolve freeway jam waves. Existing MPC approaches that are based on the second-order traffic flow models suffer from high computation load due to the non-linear and non-convex optimization formulation. In recent years, simplified MPC approaches which are based on discrete first-order traffic flow models have attracted more and more attention because they are beneficial for real-time applications. In literature, the type of traffic jam resolved by these approaches is limited to the standing queue in which the jam head is fixed at the bottleneck. Another type of traffic jam known as the jam wave, has been neglected by the discrete first-order model-based MPC approaches. To fill this gap, we develop a fast MPC approach based on a more accurate discrete first-order model. The model keeps the linear property of the classical discrete first-order model, meanwhile takes traffic flow features of jam waves propagation into consideration. A classical non-linear MPC and a recently proposed linear MPC are compared with the proposed MPC in terms of computation speed and jam wave resolution by a benchmark problem. Simulation results show that the proposed MPC resolves the jam wave with a real-time feasible computation speed. (C) 2017 Elsevier Ltd. All rights reserved.
机译：在本文中，我们开发了一种用于变速限制协调的快速模型预测控制（MPC）方法，以解决高速公路拥堵波。基于非线性和非凸优化公式，基于二阶交通流模型的现有MPC方法承受着高计算量。近年来，基于离散一阶交通流模型的简化MPC方法吸引了越来越多的关注，因为它们对实时应用很有帮助。在文献中，通过这些方法解决的交通拥堵类型仅限于将拥堵头固定在瓶颈处的站立队列。离散的基于模型的一阶MPC方法已忽略了另一种称为堵塞波的交通堵塞。为了填补这一空白，我们基于更精确的离散一阶模型开发了一种快速的MPC方法。该模型保持了经典离散一阶模型的线性特性，同时考虑了干扰波传播的交通流特征。通过基准问题，将经典的非线性MPC和最近提出的线性MPC与提出的MPC在计算速度和干扰波分辨率方面进行了比较。仿真结果表明，所提出的MPC能够以实时可行的计算速度解决干扰波。 （C）2017 Elsevier Ltd.保留所有权利。

著录项

  • 来源
    《Transportation research》 |2017年第4期|405-420|共16页
  • 作者

    Han Yu; Hegyi Andreas; Yuan Yufei; Hoogendoorn Serge; Papageorgiou Markos; Roncoli Claudio;

  • 作者单位

    Delft Univ Technol, Dept Transport & Planning, POB 5048, NL-2600 GA Delft, Netherlands;

    Delft Univ Technol, Dept Transport & Planning, POB 5048, NL-2600 GA Delft, Netherlands;

    Delft Univ Technol, Dept Transport & Planning, POB 5048, NL-2600 GA Delft, Netherlands;

    Delft Univ Technol, Dept Transport & Planning, POB 5048, NL-2600 GA Delft, Netherlands;

    Tech Univ Crete, Dynam Syst & Simulat Lab, Khania 73100, Greece;

    Aalto Univ, Sch Engn, Dept Built Environm, Espoo 02150, Finland;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Model predictive control; Variable speed limit; Capacity drop; Linear model; Jam wave;

    机译：模型预测控制;变速极限;容量下降;线性模型;堵塞波;

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