A reinforcement learning approach for reducing traffic congestion using deep Q learning

A reinforcement learning approach for reducing traffic congestion using deep Q learning

Abstract Nowadays, traffic congestion is a significant issue globally. The vehicle quantity has grown dramatically, while road and transportation infrastructure capacities have yet to expand proportionally to handle the additional traffic effectively. Road congestion and traffic-related pollution ha...

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Bibliographic Details
Main Authors: S M Masfequier Rahman Swapno, SM Nuruzzaman Nobel, Preeti Meena, V. P. Meena, Ahmad Taher Azar, Zeeshan Haider, Mohamed Tounsi
Format: Article
Language:English
Published: Nature Portfolio 2024-12-01
Series:Scientific Reports
Subjects:
Traffic reduction
RL
Smart city
DQL
Queue length
Rewards
Online Access:https://doi.org/10.1038/s41598-024-75638-0
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