Model predictive control in urban traffic network management

Period. Polytech. Civil Eng.

2017

“…[10,5,12]. In this concept the state is defined as the number of vehicles and the control input as the green time of the given traffic direction.…”

Section: Traffic Modeling At Intersection Levelmentioning

confidence: 99%

“…As a novel class among the investigated control solutions, one can highlight the achievements based on the modern control theory, e.g. [1,5,[11][12][13]. These contributions intend to maximize the traffic capacity and mitigate vehicle queuing at the stop line, i.e.…”

Section: Introductionmentioning

confidence: 99%

A Congestion Detection Based Traffic Control for Signalized Intersection

Period. Polytech. Civil Eng.

2017

“…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.…”

Section: Application Example: Robust Traffic Controlmentioning

confidence: 99%

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

Tettamanti

2012

Per. Pol. Civil Eng.

The paper focuses on the simulation of signal control problems based on VISSIM microscopic simulator. VISSIM is a commonly used software in practice for diverse problems related to road traffic control. Beyond the standard use of VISSIM, advanced options are available. VISSIM COM interface and VISSIM DLL API may be used as well providing freedom to the traffic engineer. By exploiting the programming possibilities efficient simulations may be achieved. As additional possibility MATLAB may be involved in the traffic simulation as well creating an integrated environment with VISSIM. Thus, complex mathematical problems can be calculated online by MATLAB and used for VISSIM simulation.The work is connected to the scientific program of the "Development of quality-oriented and harmonized R+D+I strategy and functional model at BME" project.

“…On the other hand the signal controllers provide the same solutions in distributed as in central architecture [16]. This represents an important advantage since the local signal controllers can solve easily the control problem (see Sec.…”

Section: Simulation Of the Mpc Based Distributed Control Designmentioning

confidence: 99%

Distributed traffic control system based on model predictive control

Tettamanti¹,

2010

Per. Pol. Civil Eng.

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.