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Smarter Intersections with Cooperative Vehicular Visible Light Communication

Authors:
Manuel Augusto Vieira
Manuela Vieira
Paula Louro
Gonçalo Galvão
Pedro Vieira

Keywords: Traffic control; Reinforcement Learning; Vehicular Visible Light Communication; Cooperative Driving.

Abstract:
Our proposed system utilizes Vehicle-to-Vehicle, Vehicle-to-Infrastructure, and Infrastructure-to-Vehicle communications to create a Visible Light Communication system for managing vehicles crossing light-controlled intersections in a safe manner. The system leverages connected vehicles and infrastructure to exchange information through the use of headlights, streetlights, and traffic signals. In this system, transmitters emit light signals that are encoded, modulated, and converted from data. Optical sensors with light filtering properties serve as receivers and decoders, allowing them to capture and interpret the transmitted signals. To facilitate effective communication, a specific communication scenario is established. Concurrently, an intersection manager takes charge of coordinating traffic flow and interacts with vehicles using embedded Driver Agents. The system incorporates a dynamic phasing diagram based on the total accumulated time to illustrate the concept. The collected data demonstrates that the adaptive traffic control system in the V2X environment can gather detailed information, including vehicle position, speed, queue length, and stopping time. By dynamically controlling traffic flows at intersections, the system adjusts the durations of cycles based on traffic demands. This improved temporal management of phases results in smoother traffic flow and higher average speeds.

Pages: 7 to 12

Copyright: Copyright (c) IARIA, 2023

Publication date: September 25, 2023

Published in: conference

ISSN: 2308-3514

ISBN: 978-1-68558-091-9

Location: Porto, Portugal

Dates: from September 25, 2023 to September 29, 2023