“Model-free” control and the related “intelligent” proportional-integral (PI) controllers are successfully applied to freeway ramp metering control. Implementing moreover the corresponding control strategy is straightforward. Numerical simulations on the other hand need the identification of quite complex quantities like the free flow speed and the critical density. This is achieved thanks to n...

In this work, we apply the iterative learning control approach to address the traffic density control via ramp metering in a macroscopic level freeway environment. The traffic density control problem is formulated into an output tracking problem and the tracking trajectories are variable with time and iteration change. Rigorous analyses and intensive simulations show that the iterative learning...

By introducing a new dynamical linearization technology, this paper presents a model-free adaptive control approach for density control of freeway traffic flow via ramp metering, which is consisted with a control input learning law and a parameter updating law. The design and analysis only depends on the I/O data of the freeway traffic system. Furthermore, the control input learning law is exte...

Due to the increase of vehicle numbers in recent decades, there exists a significant problem of reoccurring road traffic congestion. Such congestions are a characteristic of densely populated urban areas. They occur daily during the morning and afternoon rush hours. The road traffic congestion problem can be solved by applying new traffic control approaches from the domain of intelligent transp...

Control measures at merging locations aimed either the mainline traffic or on-ramp do not lead to a fairness in distribution of total delay across two streams. This paper presents control strategy combining lane change with ramp metering system motorway merges. The opportunity delays incurred streams merge. An optimization problem is formulated for multilane an aim minimize travel time system. ...

The onramp metering control problem is posed using a cell transmission-like model called the asymmetric cell transmission model (ACTM). The problem formulation captures both freeflow and congested conditions, and includes upper bounds on the metering rates and on the onramp queue lengths. It is shown that a near-global solution to the resulting nonlinear optimization problem can be found by sol...