基于元胞自动机模型的高速公路协调控制信号施加策略研究

发布时间：2018-01-16 16:04

本文关键词：基于元胞自动机模型的高速公路协调控制信号施加策略研究　出处：《河北工业大学》2014年硕士论文　论文类型：学位论文

【摘要】：匝道控制、可变速度限制是针对如高速公路、城市快速路等具有连续交通流特征的道路提高交通效率、抑制交通拥堵、保证交通安全的重要手段，特别是随着智能交通系统、物联网技术的快速发展，，信息采集、发布技术的自动化与经济化，综合匝道控制、可变速度限制的协调控制将成为连续交通流道路管理控制的重要策略。虽然已有的部分研究已证实该方法的有效性，但这些研究是从一般交通管理控制角度，不涉及交通流的非线性；研究重点在控制模型的选择、控制器具体参数的辨识方面；具体控制信号施加方面有单一匝道控制、单一主线控制的研究，不涉及到高速公路协调控制信号施加条件的研究。基于此，本文对由一个入口匝道和一段主线组成的高速公路区段协调控制信号施加进行研究，主要工作可概括为以下几方面：（1）在交通流对称型双车道（symmetric two-lane Nagel-Schreckenberg，STNS）元胞自动机模型基础上，建立仅包含一个入口匝道和一段主线组成的高速公路协调控制区段元胞自动机模型，为高速公路协调控制信号施加研究提供基本模型和基础平台，为高速公路管理、控制，以及高速公路规划设计、交通安全研究提供基础工具。（2）对研究对象实施不同控制信号策略的交通流特性进行了仿真，分析了不同的交通状态、主线上游流量和匝道需求下，分别实施不施加控制信号、仅施加匝道控制信号、仅施加可变速度限制信号、匝道控制和可变速度限制信号均施加四种方式对道路实际通行能力和交通流的影响。结果表明协调控制作为高速公路管理控制的主要手段，具有较好的适用性，针对不同交通需求，分别采取不同的控制信号施加策略，可达到减少车辆总通行时间、抑制交通拥堵从而提高道路实际通行能力的目的。（3）对研究对象在交通需求变化的情况下，运用最佳控制策略施加信号进行仿真，与施加主线可变速度限制信号、施加匝道控制信号、匝道控制与主线可变速度限制信号均施加的效果进行分析比较。结果表明在不同交通需求变化的情况下，运用协调控制最佳控制策略相图进行最佳控制信号的施加，能够对不同的交通状态施加最佳的控制信号，从而取得最佳的控制效果，最大限度的提高道路的通行能力，改善道路通行状况。
[Abstract]:Ramp control, variable speed limit is an important means to improve traffic efficiency, suppress traffic congestion and ensure traffic safety for roads with continuous traffic flow characteristics such as freeway and urban expressway. Especially with the rapid development of intelligent transportation system, Internet of things technology, information collection, distribution technology automation and economy, comprehensive ramp control. Coordinated control with variable speed limits will become an important strategy for continuous traffic flow road management control. Although the effectiveness of this method has been proved by some previous studies, these studies are based on the general traffic management and control perspective. It does not involve nonlinear traffic flow; The research focuses on the selection of the control model and the identification of the specific parameters of the controller. There are single ramp control and single main line control in the application of specific control signal, which is not related to the study of the condition of highway coordinated control signal. In this paper, the implementation of coordinated control signals for expressway sections composed of an on-ramp and a section of main line is studied. The main work can be summarized as follows: 1) based on the symmetric two-lane Nagel-Schreckenberg STNS-based cellular automata model for symmetrical traffic flow. The cellular automata model of the coordinated control section of freeway is established, which consists of only one ramp and one main line, which provides the basic model and basic platform for the research of highway coordinated control signal. Provides the basic tools for highway management, control, highway planning and design, traffic safety research. 2) the traffic flow characteristics of different control signal strategies are simulated, and different traffic states are analyzed. Under the main line upstream flow and ramp demand, no control signals are applied respectively. Only the ramp control signal is applied, and the variable speed limiting signal is applied only. The ramp control and variable speed limiting signal exert four kinds of influence on the actual traffic capacity and traffic flow. The results show that the coordinated control as the main means of highway management control has good applicability. According to different traffic demand, different control signals can be applied to reduce the total traffic time, restrain traffic congestion and improve the actual traffic capacity. 3) under the condition of changing traffic demand, the optimal control strategy is applied to simulate the signal, and the main line variable speed limiting signal is applied, and the ramp control signal is applied. The effects of ramp control and main line variable speed limiting signal are analyzed and compared. The optimal control signal can be applied to different traffic conditions by using the phase diagram of coordinated control strategy, and the optimal control effect can be obtained. Maximize the capacity of the road, improve road traffic conditions.
【学位授予单位】：河北工业大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：U491.54

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