APPLICATION DES SYSTEMES STRUCTURES A L’ETUDE DU

Marie-Therese

Description

Ph.D.. Proposal 2010 Traffic Prediction and Collaborative Ramp Metering Control: Application to Grenoble south ring Supervisor : Carlos Canudas de Wit [e-mail] system Department, GIPSA-lab, Equipe NeCS. st ndMonth Salary: 1 947 (1 & 2 year), 2 048 (3rd year) Euros (INRIA-contract), Start: Sept. 2010-2013 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 ...

Informations

• Publié par: Maphag
• Nombre de lectures: 38
• Langue: English

Extrait

NeCS Joint CNRS-INRIA Team,

Ph.D.. Proposal 2010

Traffic Prediction and Collaborative Ramp Metering Control:

Application to Grenoble south ring

Supervisor

:

Carlos Canudas de Wit

[e-mail]

Control system Department, GIPSA-lab,

Equipe NeCS

.

Month Salary

: 1 947

(1

st

& 2

nd

year), 2 048 (3rd year) Euros (INRIA-contract),

Start:

Sept. 2010-2013

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.

The recruited candidate will participate to: a) the

EU HYCON2 NoE

European project to define show case

based on the Grenoble south ring, and b) to the traffic data collection center,

“Grenoble Traffic Lab” (TGL)

for

model validation and testing traffic estimation and control algorithms.

Topic description.

The objective of the proposal is twofold:

1.

Demand estimation & Flow prediction.

The knowledge of the input flows (demands) during a finite

time-ahead horizon is a key feature to the ability to predict and to control traffic flows in the main roads.

The candidate should continuing our on-going investigation on novel concepts/models and new

estimation approaches to predict traffic flows head in time

based on

deterministic constrained switching

models.

2.

Study of collaborative control policies

. The goal of the thesis is also the redesign-of the new control

policies (ramp metering) that use collaborative information from neighbors controlled ramps, without

necessarily go to a completely centralized control design. This approach is an alternative to centralized

control designs using the full set of information.

Requested Work

. The work will focus on the development of new estimation and control methods as

mentioned below in points 1 and 2, and their associated software to make this method feasible. The proposed

algorithms for estimation & control methodology will be tested in a

micro- and macro simulators, but also using

real-time data from our GTL.

Candidate profile

. Applicants should have an Engineering degree with a specialization in Control Theory, or

applied mathematics. Knowledge on traffic models and prediction of switching systems will be welcomed.

Application should be send electronically with a complete CV. All application not containing this documentation

will not be considered.

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).