深度学习在交通拥堵检测中的应用

随着全球汽车保有量的不断增加,人们在出行中遇到的交通拥堵问题日益严重,这对相关部门的管理效率提出较高要求。本文通过阐述深度学习领域中图像分类技术和目标检测技术的原理以及他们各自在交通拥堵检测中的应用,为相关部门在解决交通拥堵这一实际问题时提供应对方法,具有一定的参考价值。

Application of Deep Learning in Traffic Congestion Detection

With the continuous increase of the global car ownership,traffic congestion has become more and more serious.The situation puts forward higher requirements for the management efficiency of relevant departments.This paper expounds the principles of image classification and target detection technology in the field of deep learning,and states their respective applications in traffic congestion detection.It has a certain reference value for the relevant departments in solving the practical problem of traffic congestion.