Work

AI-BASED TRAFFIC CONTROLLING SYSTEM : A Literature Review of Computer Vision, Reinforcement Learning, and IoT Approaches

Year: 2026

Type: article

Abstract: Traffic jams become a frequent issue in rapidly growing cities; however, the time-fixed lights do not adjust properly to changing car traffic. In this paper, different approaches using the following elements: artificial intelligence, computer vision, reinforcement learning, deep learning, and Internet of Things have been discussed in the field of traffic control. With these methods, traffic can be detected and adjusted for in real time. However, there are several issues which should be resolved in the future, such as bad weather conditions, different traffic, high computational requirements, and others.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.23656131

Authors: Tejas Pavali, Prof. Supriya Survase

Language: English

Topic: Traffic control and management

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Industry, innovation and infrastructure, Sustainable cities and communities

Open Access status: green

OpenAlex ID: W7223665706

FWCI:

Cites:

Cited by:

Related to: 10