Laboratoire de Génie Informatique et d’Automatique de l’Artois

Hirsh MAJID

Ph.D. student
(Left the LGI2A in 2014)
Member of the research axes:
2016
International journal with review committee
Nonlinear estimation and control for Freeway On-Ramp Metering
Asian Journal of Control, juillet 2016
2015
International journal with review committee
Hirsh MAJID -- Hassane ABOUAISSA
A comparative Study of Super-Twisting Sliding Mode Observer and Extended Kalman Filter for a Freeway Traffic System
Cybernetics and Information Technologies, Vol. 15, No. 2, janvier 2015
2015
International journal with review committee
Hassane ABOUAISSA -- Hirsh MAJID
Macroscopic Traffic Flow Control via State Estimation
Cybernetics and Information Technologies, Special Issue on Control in Transportation Systems, Vol. 15, No. 5, janvier 2015
2014
International conference with review committee
Super-twisting sliding mode controller for freeway ramp metering
10ème Conférence Internationale de Modélisation, Optimisation et SIMulation, NANCY, FRANCE, novembre 2014
2014
International conference with review committee
Distributed Model Predictive Control of Freeway Traffic Networks : A Serial Partially Cooperative Approach
17th International IEEE Conference on Intelligent Transportation Systems, IEEE-ITS 2014, Qingdao, China, octobre 2014
2013
International conference with review committee
Advanced Control for Real-Time Dynamic trafic Routing Problem
5th IEEE International Conference on Indusrial Engineering and Systems Management, IESM'13, Rabat, Morroco, octobre 2013
2013
International conference with review committee
Real-Time Dynamic Traffic Routing Using Variable Structure Control
16th International IEEE Conference on Intelligent Transportation Systems, IEEE-ITS, The Hague, Netherlands, octobre 2013
2013
International conference with review committee
A reduced order observer for switching-mode model state estimation
IEEE International Conference on Control, Decision and Information Technologies, IEEE-CoDIT, Hammamet, Tunisia, mai 2013
State Reconstructor for Real-Time Freeway Ramp Metering
10th IEEE International Conference on Networking, Sensing and Control, ICNSC, Paris, France, avril 2013
2012
French conference with review committee
Estimation d’état du flux de trafic
Journées Doctorales , Clérment-Ferrand , France, novembre 2012

Author of the Ph.D. thesis "Contribution to the estimation and control of intelligent transport systems"

2011 - 2014

The works presented in this PhD dissertation fit into the framework of Intelligent TransportationSystems. Although the beginnings of these systems have started since the 60s, their development, basedon information and communication technologies, has reached maturity during the early 80s. The ITS usesthe intelligence of different systems (embedded systems, intelligents sensors, intelligents highways, etc.)in order to optimize road infrastructures performances and respond to the daily problems of congestions.The dissertation presents four contributions into the framework of road traffic flow and tackles theestimation and control problems in order to eliminate or at least reduce the “recurrent" congestionsphenomena. The first point treats the problem of traffic state estimation which is of most importance inthe field of ITS. Indeed, the implementation and performance of any control strategy is closely relatedto the ability to have all needed information about the traffic state describing the dynamic behavior ofthe studied system. Two estimation algorithms are then proposed. The first one uses the “metanet"model and high order sliding mode techniques. The second is based on the so-called Cell TransmissionModels. Several comparative studies with the Kalman filters, which are the most used in road traffic flowengineering, are established in order to demonstrate the effectiveness of the proposed approaches. Thethree other contributions concern the problem of traffic flow control. At first, the focus is on the isolatedramp metering using an algorithm based on the high order sliding mode control. The second contributiondeals with the dynamic traffic routing problem based on the high order sliding mode control. Such controlstrategy is enriched by introducing the concept of integration, in the third contribution. Indeed, integratedcontrol consists of a combination of several traffic control algorithms. In this thesis the proposed approachcombines an algorithm of on-ramp control with a dynamic traffic routing control. The obtained results arevalidated via numerical simulations. The validated results of the proposed isolated ramp metering controlare compared with the most used ramp metering strategy : ALINEA. Finally, the last contributiontreats the coordination problems. The objective is to coordinate several ramps which cooperate andchange information in order to optimize the highway traffic flow and reduce the total travel time in theapplied area. All these contributions were validated using real data mostly from French freeways. Theobtained results show substantial gains in term of performances such as travel time, energetic consumptiondecreasing, as well as the increasing in the mean speed. These results allow to consider several furtherworks in order to provide more interesting and efficient solutions in the ITS field.