Distributed traffic control system based on model predictive control

Abstract

The paper investigates a distributed control system scheme for urban road traffic management. The control algorithm is based on model predictive control (MPC) involving Jacobi iteration algorithm to solve constrained and nonlinear programming problem.The signal controllers of traffic network constitute a network of computers. They can distribute their computation realizing an efficient traffic control without any central management. However the optimal control inputs can be also calculated by a single traffic controller if the traffic network contains few intersections.The control aim is to relieve traffic congestion, reduce travel time and improve homogenous traffic flow in urban traffic area using distributed control architecture. The MPC based control strategy can be implemented in any urban transportation network but adequate measurement system and modern traffic controllers are needed. Theory, realization possibilities and simulation of the control method are also presented. The simulation results show that the system is able to ameliorate the network efficiency and reduce travel time. The distributed MPC based traffic control strategy proves the effectiveness by realizing a dependable control operation and creating optimal flow in the network subjected to control input constraints.

Modeling and real-time control of urban drainage systems: A review

“…Additionally, decentralized and distributed MPC configurations have become a growing research field. Distributed MPC has been studied for different applications including control and coordination of power systems [52,64] and urban traffic control [65]. Decentralized and distributed MPC strategies have also been studied in water related applications such as level control in tanks [66] and coordination in water supply networks [67,68,69].…”

Stochastic Model Predictive Control for Urban Traffic Networks

“…In the SF method, they designed a simplified linear model to describe traffic dynamics in UTN. Since the linear model allows the use of high efficient control and optimization technology for signal coordination in large-scale networks, the SF method has been widely used for modeling and optimization of traffic signal splits in road networks [11][12][13][14][15][16]19,20]. Therefore, in this paper, we use an improved SF method [20,22] to model the traffic dynamics.…”

“…It is worth mentioning that the store-and-forward(SF) approach [10] is also one of the typical representatives in the family of coordinated traffic-responsive control strategies. Based on the SF approach, a number of traffic models and control strategies [11][12][13][14] have been proposed.…”

Development of road traffic control by using integrated VISSIM-MATLAB simulation environment

“…These solutions intend to assure realtime and adaptive control maximizing some performance criterion (e.g. minimize the average travel time) [2,4,[14][15][16]. The main disadvantage of these solutions is the incapability of explicitly dealing with model uncertainties.…”