Work

Enhancing Urban Traffic Management with Visible Light Communication and Reinforcement Learning

Year: 2024

Type: article

Abstract: \nThis paper introduces Visible Light Communication (VLC) to enhance traffic signal efficiency and vehicle trajectory management at urban intersections. A multi-intersection traffic control system is proposed, integrating VLC localization services with learning-based traffic signal control. VLC facilitates communication between connected vehicles and infrastructure using headlights, streetlights, and traffic signals to transmit information. By leveraging vehicle-to-vehicle (V2V) and infrastructure-to-vehicle (I2V) interactions, joint transmission and data collection are achieved via mobile optical receivers. The system aims to reduce waiting times for pedestrians and vehicles while improving overall traffic safety. It is designed to be flexible and adaptive, accommodating diverse traffic movements during multiple signal phases. VLC cooperative mechanisms, transmission range, relative pose concepts, and queue/request/response interactions help balance traffic flow between intersections, enhancing the overall road network performance.\n

Source: Springer Link (Chiba Institute of Technology)

DOI: 10.1051/epjconf/202430500030/pdf

Authors: Gonçalo Galvão, Manuel Augusto Vieira, Manuela Vieira, Paula Louro, Mário Véstias

Institutions: Universidade Politécnica de Lisboa, Uninova, Instituto de Novas Tecnologias, Institute for Systems Engineering and Computers

Language: English

Topic: Optical Wireless Communication Technologies

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

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

Open Access status: green

Funder: Fundação para a Ciência e a Tecnologia