TY - GEN
T1 - Using Visible Light Communication to Implement Intelligent Traffic Signals and Cooperative Trajectories at Urban Intersections
AU - Fernandes, R.
AU - Vieira, M. A.
AU - Vieira, M.
AU - Vieira, P.
AU - Louro, P.
AU - Véstias, Mário
N1 - Funding Information:
This work was sponsored by FCT - Fundação para a Ciência e a Tecnologia, within the Research Unit CTS - Center of Technology and Systems, reference UIDB/00066/2020 and IPL/2022/POSEIDON_ISEL.
Publisher Copyright:
© 2023 SPIE. All rights reserved.
PY - 2023
Y1 - 2023
N2 - An integrated approach that optimizes traffic signals and vehicle trajectory at urban intersections using Visible Light Communication (VLC) is proposed. A connected vehicle (CV) platoon approaches a signalized intersection, and downstream CVs queue before the stop lines. Light is used to communicate information between CVs and the infrastructure using street lamps, intersection signals, and headlights. Interaction with traffic is coordinated by an intersection manager. Integrated control is flexible and adaptive to traffic demands since different traffic movements are incorporated during multiple signal phases. As part of the simulation process, an open-source urban mobility simulator SUMO creates the desired scenarios and generates different urban traffic flows. VLC queue/request/response mechanisms and temporal/space relative pose concepts are used. Using sequence state durations, phase diagrams, and average speed measurements, the system dynamically controls traffic flows at intersections using a deep reinforcement learning (DRL) algorithm, minimizing rush hour bottlenecks, through joint Vehicle-to-Vehicle (V2V) and Vehicle-to-Infrastructure (V2I) communications. Comparisons with trajectory optimization and signal optimization demonstrate the benefits on throughput, delay, and vehicle stops, and reveal the optimal patterns for signals and trajectory.
AB - An integrated approach that optimizes traffic signals and vehicle trajectory at urban intersections using Visible Light Communication (VLC) is proposed. A connected vehicle (CV) platoon approaches a signalized intersection, and downstream CVs queue before the stop lines. Light is used to communicate information between CVs and the infrastructure using street lamps, intersection signals, and headlights. Interaction with traffic is coordinated by an intersection manager. Integrated control is flexible and adaptive to traffic demands since different traffic movements are incorporated during multiple signal phases. As part of the simulation process, an open-source urban mobility simulator SUMO creates the desired scenarios and generates different urban traffic flows. VLC queue/request/response mechanisms and temporal/space relative pose concepts are used. Using sequence state durations, phase diagrams, and average speed measurements, the system dynamically controls traffic flows at intersections using a deep reinforcement learning (DRL) algorithm, minimizing rush hour bottlenecks, through joint Vehicle-to-Vehicle (V2V) and Vehicle-to-Infrastructure (V2I) communications. Comparisons with trajectory optimization and signal optimization demonstrate the benefits on throughput, delay, and vehicle stops, and reveal the optimal patterns for signals and trajectory.
KW - Cooperative Traffic control
KW - Deep Learning Algorithm
KW - Intelligent traffic signals
KW - SiC receivers
KW - Urban Mobility Simulator
KW - Vehicular-Visible Light Communication (V-VLC)
KW - White LEDs transmitters
UR - http://www.scopus.com/inward/record.url?scp=85184654728&partnerID=8YFLogxK
U2 - 10.1117/12.2647862
DO - 10.1117/12.2647862
M3 - Conference contribution
AN - SCOPUS:85184654728
SN - 978-151065987-2
T3 - Proceedings of SPIE - The International Society for Optical Engineering
BT - Light-Emitting Devices, Materials, and Applications XXVII
A2 - Kim, Jong Kyu
A2 - Krames, Michael R.
A2 - Strassburg, Martin
PB - SPIE-International Society for Optical Engineering
T2 - Light-Emitting Devices, Materials, and Applications XXVII 2023
Y2 - 30 January 2023 through 1 February 2023
ER -