NGHIÊN CỨU, THIẾT KẾ HỆ THỐNG PHẦN MỀM QUẢN LÝ, ĐIỀU KHIỂN ĐÈN GIAO THÔNG THÔNG MINH

Abstract

In modern life, traffic congestion is a complex problem of any developing city. In recent years, Thanh Hoa city has been developing at a strong speed with an increasing rate of population growth and transport vechiles development. As a result, the problem of traffic jam is seriously studied and investigated by the local government to work out smart solutions. This paper proposes building a software system to remotely control the operation of traffic lights in a smart manner. Specifcally, users can monitor the state of traffic lights with a real-time response, setting up smart operation scripts, and can estimate the traffic density by using modern deep neuron networks.
Keywords: Smart Traffic, Deep Learning, CNN models.