Design Of Intelligent Traffic Lights In Rural And Suburban Area Based On Video Image Recognition

The 19 th National Congress proposed to establish a sound institutional system and policy system for the integration of urban and rural development and accelerate the modernization of agriculture and rural areas.Traffic and transportation play a significant role in development of rural areas.And so are traffic lights to traffic and transportation.Most of the current traffic signals adopt fixed time intervals,which are suitable for urban areas where the traffic and people flow are heavy.Rural areas usually don’t have that much of traffic flow.Due to the fixed signal interval,vehicles or people often must wait even there is no traffic in other directions.Efficiency of traffic is thus affected greatly.The objective of this research is to design an intelligent traffic signal system based on video image recognition.This system can adjust signal interval dynamically according to the heaviness of traffic in different directions,so that traffic fluency at crosses can be increased substantially if this system is implemented.To address the problem,the status of intelligent traffic signal systems in both native and abroad was reviewed.Algorithms for deep leaning on image recognition were also examined.We then designed the signal system,include the hardware and software modules.The hardware includes modules of image acquisition,traffic light display,and wireless transmission.The software includes an image recognition module and a timing controller.The image acquisition module will grab road images and send them to the image recognition module to evaluate traffic heaviness on the roads.The signal module then dynamically assigns signals to different directions.The vehicle recognition module is a convolutional five-layer neural network.It also required peripheral regional networks and Softmax classifiers.These are used to extract vehicle characters.An end-to-end vehicle detection and recognition framework was constrcted based on fast RCNN.After fast,high-precision training,vehicles in different conditions,e.g.,different vehicle models,light,backgrounds,can be recognized.The system was then tested with simulation of MATLAB,and conducted experiments at village intersection.An algorithm was designed to dynamically control the signals based on the simulation results.In conclusions,the intelligent signal system from this research can greatly reduce traffic waiting time in rural areas.The increasement of traffic fluence means that this system is of great economical value.