隧道洞内外智能交通协同管控应用探究  

Research on the Application of Intelligent Transportation Collaborative Control Inside and Outside the Tunnel

作　　者：李白玉 Li Baiyu(Beijing General Municipal Engineering Design and Research Institute,Beijing 100082,China)

机构地区：[1]北京市市政工程设计研究总院有限公司,北京100082

出　　处：《市政技术》2024年第2期87-92,126,共7页Journal of Municipal Technology

摘　　要：考虑到北京市石门路节点处发生严重交通拥堵时,路口排队车辆会蔓延至隧道洞口,大大增加隧道洞内外发生交通事故的概率。因此,以交通流量采集作为检测手段,以神经网络预测控制算法作为控制策略,信息通过传输、分析、反馈,利用信号控制机实现隧道外洞口交通信号灯合理配时,同时在隧道交通诱导及信息发布屏上及时显示并预警路况等信息。最终实现交通流的有效诱导以及隧道洞内外的智能交通协同管控,为工程设计提供了参考和实践路径。When serious traffic congestion occurs at the intersection of Shimen Road in Beijing,vehicles queued from the intersection to the tunnel entrance,which greatly increase the probability of traffic accidents inside and outside the tunnel.Therefore,the detection is conducted by traffic flow collection.The control strategy is fulfilled by the neural network predictive control algorithm.Information is transmitted,analyzed and fed back.That reasonable timing of traffic signal lights is achieved by the signal control machine at the entrance of the tunnel.At the same time,information of timely display and warning of road conditions are displayed on the tunnel traffic guidance and information release screen.Ultimately,effective guidance of traffic flow and collaborative control of intelligent transportation will be achieved inside and outside the tunnel.The research looks forward to provide a thinking and practical path for similar engineering design.

关 键 词：隧道洞内外 智能交通 神经网络预测控制算法 协同管控 

分 类 号：U455.1[建筑科学—桥梁与隧道工程]