scholarly journals AIoT Enabled Traffic Congestion Control System Using Deep Neural Network

2021 ◽  
pp. 171170
Author(s):  
Shahan Siddiqui ◽  
Inzmam Ahmad ◽  
Muhammad Khan ◽  
Bilal Khan ◽  
Muhammad Ali ◽  
...  
Keyword(s):  
Neural Network ◽  
Control System ◽  
Congestion Control ◽  
Traffic Congestion ◽  
Deep Neural Network ◽  
Traffic Congestion Control

scholarly journals An adaptive approach: Smart traffic congestion control system

2020 ◽  
Vol 32 (9) ◽  
pp. 1012-1019 ◽  
Author(s):  
Ayesha Atta ◽  
Sagheer Abbas ◽  
M. Adnan Khan ◽  
Gulzar Ahmed ◽  
Umer Farooq
Keyword(s):  
Control System ◽  
Congestion Control ◽  
Traffic Congestion ◽  
Adaptive Approach ◽  
Traffic Congestion Control ◽  
Smart Traffic

Adaptive IoT Empowered Smart Road Traffic Congestion Control System Using Supervised Machine Learning Algorithm

2020 ◽  
Author(s):  
Ayesha Ata ◽  
Muhammad Adnan Khan ◽  
Sagheer Abbas ◽  
Muhammad Saleem Khan ◽  
Gulzar Ahmad
Keyword(s):  
Machine Learning ◽  
Control System ◽  
Congestion Control ◽  
Traffic Congestion ◽  
Road Traffic ◽  
Learning Algorithm ◽  
Supervised Machine Learning ◽  
Smart Systems ◽  
Traffic Congestion Control ◽  
Road Traffic Congestion

Abstract The concept of smart systems blessed with different technologies can enable many algorithms used in Machine Learning (ML) and the world of the Internet of Things (IoT). In a modern city many different sensors can be used for information collection. Algorithms that are cast-off in Machine Learning improves the capabilities and intelligence of a system when the amount of data collectedincreases. In this research, we propose a TCC-SVM system model to analyse traffic congestion in the environment of a smart city. The proposed model comprises an ML-enabled IoT-based road traffic congestion control system whereby the occurrence of congestion at a specific point is notified.

scholarly journals Research on an intelligent traffic congestion control model

2021 ◽  
Vol 336 ◽  
pp. 07001
Author(s):  
Bo Xu ◽  
Jianbing Chen ◽  
Wei Tang
Keyword(s):  
Congestion Control ◽  
Traffic Control ◽  
Traffic Congestion ◽  
Control Model ◽  
Status Quo ◽  
Key Technology ◽  
Related Research ◽  
The Status ◽  
Traffic Congestion Control

This paper summarizes the status quo of intelligent traffic congestion control and vehicle following on traffic road, puts forward the key technology model and its content of intelligent traffic control, elaborates the model and content in detail, and summarizes the research done, hoping to provide reference for the related research on intelligent traffic congestion control.

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