Research on the Application of Intelligent Transportation Collaborative Control Inside and Outside the Tunnel
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 tim-ing 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 infor-mation release screen.Ultimately,effective guidance of traffic flow and collaborative control of intelligent trans-portation will be achieved inside and outside the tunnel.The research looks forward to provide a thinking and practi-cal path for similar engineering design.
inside and outside the tunnelintelligent transportationneural network predictive control algorithmcollaborative control