节点文献

区域路网边界与出入口匝道协同控制方法研究

Cooperative Control Method of Road Network Boundary and Entry and Entrance Ramps

  • 推荐 CAJ下载
  • PDF下载
  • 不支持迅雷等下载工具,请取消加速工具后下载。

【作者】 张海波张玲玉何忠贺李敏

【Author】 Zhang Haibo;Zhang Lingyu;He Zhonghe;Li Min;Beijing Key Lab of Urban Intelligent Traffic Control Technology,North China University of Technology;

【机构】 北方工业大学城市道路交通智能控制技术北京市重点实验室

【摘要】 持续增长的交通需求,往往超过网络容量,这是造成交通堵塞的主要原因。近年来,城市道路网中宏观基本图的存在得到了许多研究工作的验证,并激活了对网络边界控制的研究,以实现减少网络拥堵的目标。首先,以路段上的车辆数为状态变量、区域边界流量输入为控制输入,建立了城市区域网络边界控制状态空间模型,可建模具有任意拓扑结构的城市路网。进一步,通过网络流量数据获取宏观基本图模型,确定网络最大通行能力。建立以区域路网交通流分布均衡为指标的控制目标,应用线性二次最优控制方法求解区域网络边界输入最优控制律,并提出网络边界及内部信号总体控制框架。同时,考虑区域路网与快速路衔接,提出出入口匝道协同控制策略。最后,构建网络仿真环境,仿真结果表明:相比于固定配时方法,当网络出现严重交通拥堵,本文方法可实现网络最大通行能力、大幅降低网络延误。

【Abstract】 Continuous increase of traffic demands, often more than the network capacity, is the primary reason for traffic congestion. Recently, the existence of macroscopic fundamental diagram in urban road network has been validated by many research works, and then activated the researches for the perimeter control of the network to realize objective of reducing network congestion. In this paper, firstly, the number of vehicles on the links is chosen as the state variable and the regional boundary input is chosen as the control input variable, and then the state space model of urban traffic network boundary control is established, by which urban traffic network with arbitrary topology can be modeled. Furthermore, the macroscopic fundamental diagram model is obtained through the network flow data, and the maximum capacity of the network is determined. The control objective of the regional road network traffic flow distribution equilibrium is established, and the linear quadratic optimal control method is used to solve the optimal control law of regional network boundary input, and then the overall control framework of network boundary and internal signal is proposed. At the same time, considering the convergence of regional road network and freeway, the paper puts forward the cooperative control strategy. Finally, the simulation results show that compared with the fixed timing method, this method can achieve the maximum capacity of the network and reduce the network delay greatly.

  • 【会议录名称】 第十二届中国智能交通年会大会论文集
  • 【会议名称】第十二届中国智能交通年会
  • 【会议时间】2017-11-22
  • 【会议地点】中国江苏常熟
  • 【分类号】U491.54
  • 【主办单位】中国智能交通协会
节点文献中: