APPLICATION DES SYSTEMES STRUCTURES A L’ETUDE DU
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APPLICATION DES SYSTEMES STRUCTURES A L’ETUDE DU

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Master or (Final project) Research Proposal 2010 Traffic Model Calibration and Control of the Grenoble South Ring Supervisor : Carlos Canudas de Wit (DR-CNRS). Email : carlos.canudas-de-wit@gipsa-lab.inpg.fr, Tel : +33 (0)6.85.70.73.16, Team: Equipe NeCS. Place of Work: INRIA-Montbonnot. Start: Fev. 2010, Duration: 5 months. Context. NeCS is a joint CNRS (GIPSA-lab)-INRIA team. The team is a bi-located at INRIA (Montbonnot) and at the GIPSA-lab (at the Grenoble campus).The team goal is to develop a new control framework for assessing problems raised by the consideration of distributed communication and sensing in applications like the traffic modeling, prediction and control, as considered in this project. Different types of commercial technologies in sensor networks allows to finely to measure traffic information at distributed points of the road. These include magnetometers WSN technology for vehicle flows and velocity. Using macroscopic fluid-like models is an interesting option to develop innovative traffic management policies able to improve the infrastructure operations. This includes: automatic and distributed model calibration, traffic prediction and estimation, identification to origin-to-destination paths, travelling time prediction, and important items to implement efficient Intelligent Transportation Systems (ITS) such as traffic responsive ramp metering and varying speed limit as well as producing ...

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Master or (Final project) Research Proposal 2010
Traffic Model Calibration and Control of the Grenoble South Ring
Supervisor :
Carlos Canudas de Wit
(DR-CNRS).
Email
:
carlos.canudas-de-wit@gipsa-lab.inpg.fr
,
Tel : +33 (0)6.85.70.73.16,
Team:
Equipe NeCS
. Place of Work: INRIA-Montbonnot.
Start:
Fev. 2010,
Duration:
5 months.
Context
.
NeCS
is a joint CNRS (GIPSA-lab)-INRIA team. The team is a bi-located at INRIA (Montbonnot)
and at the GIPSA-lab (at the Grenoble campus).The team goal is to develop a new control framework for
assessing problems raised by the consideration of distributed communication and sensing in applications like the
traffic modeling, prediction and control, as considered in this project. Different types of commercial technologies in
sensor networks allows to finely to measure traffic information at distributed points of the road. These include
magnetometers WSN technology for vehicle flows and velocity. Using macroscopic fluid-like models is an
interesting option to develop innovative traffic management policies able to improve the infrastructure operations.
This includes: automatic and distributed model calibration, traffic prediction and estimation, identification to origin-
to-destination paths, travelling time prediction, and important items to implement efficient Intelligent
Transportation Systems (ITS) such as traffic responsive ramp metering and varying speed limit as well as
producing relevant user information, i.e. [1,2]. The Grenoble Traffic Lab (GTL), in construction at Grenoble-INRIA,
is a real-time traffic data collection center in partnership with the Grenoble local authorities (DIRCE, and CG38).
Grenoble south ring is used as test-case for our studies. This roadway is notorious for their congestion, from
dense urban network to large freeway systems.
Topic description.
The objective of the proposal is to calibrate a microscopic and a macroscopic model of
the Grenoble south ring and to evaluate the limitation of the ramp metering control policies named ALINEA. In
particular we wish to consider the following points:
1.
Microscopic model calibration.
Participate to the microscopic model calibration of the Grenoble south
ring. This is done using commercial software that defines the inter-vehicle policies.
2.
Macroscopic model on-line calibration.
From the microscopic software, a new methods for auto-tuning
calibration our simplified macroscopic model will be developed. This includes the use of ideas from
consensus estimation to reach an agreement concerning the “mean” value of the characteristic curve, and
the “on-line” detection of changes of road capacity (due to accidents, and road work).
3.
Evaluated local ramp metering control (ALINEA).
ALINEA is a local (ramp metering) controlled derived
from Heuristics. The idea is to control lights at the entrance of the highway to regulate the vehicle flux
(demand) at this particular point. The control tries to maximize the flow capacity to this particular point, as
long as the waiting entrance queue does not reach its maximum. This control uses only local information
relative to the ramp access, and hence disregards the rest of the road dynamics. This local behavior may
in some cases increase the congestions. The analytic properties of such a controller are badly known,
and its limitations is not yet well studied. The purpose here is to perform some preliminary analysis of the
ALINEA control system properties, and to test in simulation a series of case-studies to find out the
practical limitations of such a scheme.
Candidate profile
. Applicants should have knowledge in Control Theory.
Important:
continuation of a Ph.D. in the context of the HYCON2 Network of Excellence will be possible.
References:
[1] Optimal Control of Systems of Conservation Laws and Application to Non-Equilibrium Traffic Control.
Jacquet D., Canudas De Wit C., Koenig D. Proceedings of the 13th IFAC Workshop on Control Applications of
Optimisation - Proceedings of the 13th IFAC Workshop on Control Applications of Optimisation, France (2006)
[2] Non-Local Feedback Ramp Metering Controller Design. Jacquet D., Jaglin J., Koenig D., Canudas De Wit
C. Proceedings of the 11th IFAC Symposium on Control in Transportation Systems, CTS 2006 - Proceedings of
the 11th IFAC Symposium on Control in Transportation Systems, CTS 2006, Pays-Bas (2006)