The Research of Traffic Jam Detection Based on Convolutional Neural Network
[1]LUO Ronghui,YUAN Hang,ZHONG Fahai,et al.The Research of Traffic Jam Detection Based on Convolutional Neural Network[J].Journal of Zhengzhou University (Engineering Science),2019,40(02):21-25.[doi:10.13705/j.issn.1671-6833.2019.02.008]
Copy
Journal of Zhengzhou University (Engineering Science)[ISSN
1671-6833/CN
41-1339/T] Volume:
40
Number of periods:
2019 02
Page number:
21-25
Column:
Public date:
2019-03-19
- Title:
- The Research of Traffic Jam Detection Based on Convolutional Neural Network
- Keywords:
- convolutional neural network; deep learning; Image Identification; congestion detection; Smart City
- CLC:
- -
- Abstract:
- In order to solove the increasingly serious congestion problem of urban roads ,a road congestion dectection method based on convolutional neural network was proposed in this paper.This method was based on the appliciation value of road congestion rapid detection technology to alleviate the traffic jam promblem.Besides,it combined deep learning with image processing technology.Compared with traditional methods,this method did not need to extract the background in the early stage, and was not affected by the illumination brightness and the actual environment.It had the characteristics of fasrt recognition speed,less ocupied comoutong resources and good generalization. It has been applied in practical projects and achieved good results.
- References:
- -
- Similar References:
Memo
-
Last Update:
2019-03-24
