Project Team Necs

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Section: New Results

Vehicular transportation systems

Traffic modelling, estimation and control

Participants : C. Canudas de Wit [Contact person] , C. Irinel-Constantin [CRAN] , D. Pisarski, L. Leon Ojeda.

This part is related to the developed work within the Network of Excellence HYCON2 (Highly-Complex and Networked Control Systems). It interested to problems of modelling, estimation and control in traffic.

In [81] , the problem of equilibrium sets for the Cell Transmission Model is studied. The objective is to design the homogeneous distribution of density on the freeway, where the input flows are the decision parameters to be determined. For the proper design of the balanced density the extensive analysis on the structures of equilibria is crucial. The analysis is carried out for the two different cases, where all sections of the freeway are assumed to be free or congested, respectively. The necessary conditions for the existence of balanced equilibria are formulated. These conditions show, that the key for the design of the balanced states may be the variable speed limiting, which strictly cooperates with the ramp metering. The computational algorithm for the input flows in case of free balance is proposed. In order to illustrate the results, the numerical example is provided.

In [39] , the authors are interested to the highway traffic model-based density estimation. A strategy is proposed for real-time density estimation for traffic networks. To this aim, we introduced a deterministic constrained macroscopic model which reduce the number of possible affine dynamics of the system and preserve the number of vehicles in the network. This model is used to recover the state of the traffic network and precisely localize the eventual congestion front. The state of the network is recovered using what we call forward/backward observers. We pointed out that during unobservable modes the estimation error is preserved due to vehicle conservation law. Numerical simulations show the efficiency of the proposed strategy.

In [30] , the problem of front congestions control is treated. For this, we have introduced a new traffic lumped model with only two cells (one free, and another congested) the cells have variable length, and a variation law for the front congestion completes the 3-dimensional model. In opposition to fixed-length cell models that are commonly represented by a set of linear state-dependent switching systems, our model results in a lower dimensional nonlinear system which solutions are continuous. Based on this model, we have designed a “best-effort” control strategy using variable speed limits. The notion of best effort control is here linked to the physical variable speed limit constraints which limits its size and as well as its rate variation. This results in a relative simple control in closed-form that can be implemented by using only information about the front congestion location.

Other work is under development and is related to the traffic show case application and the achievements reached that correspond to the operation of the freeway network around the Grenoble area (Grenoble South Ring). We started by designing the general network architecture, after specifying sensors and actuators locations along the highway and finally setting the platform of an interface between Matlab and our micro simulator "Aimsun". We have also carrying out some simulations from a real life application on Grenoble South ring of a deterministic state estimation technique. Using constrained macroscopic model which in fact reduces the number of dynamic states and preserves the conservation law (number of vehicles in the network).

Vehicle control