TY - GEN
T1 - Boundary Control of Traffic Congestion Modeled as a Non-stationary Stochastic Process
AU - Liu, Xun
AU - Rastgoftar, Hossein
N1 - Funding Information:
VIII. ACKNOWLEDGEMENT This work has been supported by the Department of Mechanical Engineering at Villanova University. The authors would like to gratefully acknowledge Dr. Sergey Nersesov for the useful comments on this paper, and the Mechanical Engineering PhD fellowship provided to Xun Liu which was made possible by a generous gift from Dr. Yongping Gu and Fei Gu.
Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - In this paper, we introduce a new conservation-based approach to model traffic dynamics, and apply the model predictive control (MPC) approach to manage the boundary traffic inflow and outflow, so that the traffic congestion is reduced. We establish an interface between the Simulation of Urban Mobility (SUMO) software and MATLAB to define a network of interconnected roads (NOIR) as a directed graph, and present traffic congestion management as a network control problem. By formally specifying the traffic feasibility conditions, and using the linear temporal logic, we present the proposed MPC-based boundary control problem as a quadratic programming with linear equality and inequality constraints. The success of the proposed traffic boundary control is demonstrated by simulation of traffic congestion control in Center City Philadelphia.
AB - In this paper, we introduce a new conservation-based approach to model traffic dynamics, and apply the model predictive control (MPC) approach to manage the boundary traffic inflow and outflow, so that the traffic congestion is reduced. We establish an interface between the Simulation of Urban Mobility (SUMO) software and MATLAB to define a network of interconnected roads (NOIR) as a directed graph, and present traffic congestion management as a network control problem. By formally specifying the traffic feasibility conditions, and using the linear temporal logic, we present the proposed MPC-based boundary control problem as a quadratic programming with linear equality and inequality constraints. The success of the proposed traffic boundary control is demonstrated by simulation of traffic congestion control in Center City Philadelphia.
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U2 - 10.1109/ICARCV57592.2022.10004375
DO - 10.1109/ICARCV57592.2022.10004375
M3 - Conference contribution
AN - SCOPUS:85146696588
T3 - 2022 17th International Conference on Control, Automation, Robotics and Vision, ICARCV 2022
SP - 455
EP - 461
BT - 2022 17th International Conference on Control, Automation, Robotics and Vision, ICARCV 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 17th International Conference on Control, Automation, Robotics and Vision, ICARCV 2022
Y2 - 11 December 2022 through 13 December 2022
ER -