A survey on deep learning based vehicular traffic control systems

Author:

Vikruthi Sriharsha,Archana M.,Tanguturi Rama Chaitanya

Publisher

AIP Publishing

Reference15 articles.

1. Lightweight PVIDNet: A Priority Vehicles Detection Network Model Based on Deep Learning for Intelligent Traffic Lights

2. Amir Mohammad Ghoreyshi, Alireza AkhavanPour, Alireza Bossaghzadeh, “Simultaneous Vehicle Detection and Classification Model based on Deep YOLO Networks”, Inter. Confe. Mach. Vision & Image Proces. (MVIP) Faculty of Eng., Clg of Farabi, University of Tehran, Iran, 19 and 20 February, 2020

3. Kyung-Joon Park, Sayan Sahu, and Myounggyu Won, “DeepWiTraffic: Low Cost WiFi-Based Traffic Monitoring System Using Deep Learning”, 16thIEEE Inte. Confe. Mobile Ad Hoc and Sensor Systems (MASS), 2019

4. Saeid Belkasim and Mohamed Masoud, "WSN-EVP: A Novel Special Purpose Protocol for Emergency Vehicle Preemption Systems", Transaction on Vehicular Tech., IEEE, 2018

5. Image-Based Learning to Measure Traffic Density Using a Deep Convolutional Neural Network

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