A real-time traffic alert system based on image recognition: A case of study in Spain

Author:

Muñoz Andrés1,Martínez-España Raquel2,Guerrero-Contreras Gabriel1,Balderas-Díaz Sara1,Bueno-Crespo Andrés3

Affiliation:

1. University of Cádiz,Higher Polytechnic School,Cádiz,Spain

2. University of Murcia,Dept. Ingeniería de la Información y las Comunicaciones,Murcia,Spain

3. Escuela Politécnica Superior Universidad Católica de Murcia (UCAM),Murcia,Spain

Funder

Junta de Andalucía

Publisher

IEEE

Reference14 articles.

1. Very deep convolutional networks for large-scale image recognition;simonyan;arXiv preprint arXiv 1409 1556,2014

2. A novel image-based convolutional neural network approach for traffic congestion estimation

3. Xception: Deep learning with depthwise separable convolutions;chollet;Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition,2017

4. Convolutional neural network for recognizing highway traffic congestion

5. Traffic Congestion Detection Based on the Image Classification with CNN

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A multi-DL fuzzy approach to image recognition for a real-time traffic alert system;Journal of Ambient Intelligence and Smart Environments;2024-06-20

2. Fusing Temporal and Contextual Features for Enhanced Traffic Volume Prediction;Lecture Notes in Networks and Systems;2024

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