TY - GEN
T1 - Autonomous traffic monitoring and management by a simulated swarm of UAVs
AU - Alahvirdi, Davoud
AU - Tuci, Elio
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - Traffic monitoring and management have become a key issue for improving the quality of life and well being of citizens. Among the different technologies used for these tasks, unmanned aerial vehicles (UAVs) or drones promise to be particularly effective in generating solutions for problems such as traffic congestion, security, resource management, waste of time, and pollution. This paper presents a swarm of simulated UAVs continuously monitoring the traffic in a simulated road network where traffic is implemented using the cell transition model (CTM). The UAVs monitor the data about the status of traffic on distinctive portions of the network with traffic units, and they share their traffic information with a smart traffic light units. The later regulate their signal cycle using an optimisation model named simultaneous perturbation stochastic approximation (SPSA), in a way to mitigate or eventually resolve road congestion. The simulation results indicate that the system we describe is particularly effective in reducing traffic jams.
AB - Traffic monitoring and management have become a key issue for improving the quality of life and well being of citizens. Among the different technologies used for these tasks, unmanned aerial vehicles (UAVs) or drones promise to be particularly effective in generating solutions for problems such as traffic congestion, security, resource management, waste of time, and pollution. This paper presents a swarm of simulated UAVs continuously monitoring the traffic in a simulated road network where traffic is implemented using the cell transition model (CTM). The UAVs monitor the data about the status of traffic on distinctive portions of the network with traffic units, and they share their traffic information with a smart traffic light units. The later regulate their signal cycle using an optimisation model named simultaneous perturbation stochastic approximation (SPSA), in a way to mitigate or eventually resolve road congestion. The simulation results indicate that the system we describe is particularly effective in reducing traffic jams.
KW - Cell Transition Model
KW - Simultaneous Perturbation Stochastic Approximation
KW - Smart City
KW - Task Allocation
KW - Traffic Monitoring and Management
UR - http://www.scopus.com/inward/record.url?scp=85185558354&partnerID=8YFLogxK
U2 - 10.1109/icrom60803.2023.10412448
DO - 10.1109/icrom60803.2023.10412448
M3 - Conference contribution
T3 - 11th RSI International Conference on Robotics and Mechatronics, ICRoM 2023
SP - 91
EP - 96
BT - 2023 11th RSI International Conference on Robotics and Mechatronics (ICRoM)
PB - IEEE
ER -