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  • ARTS

1st Summer School
Autonomic Road Transport Support Systems: foundations & techniques
Paris-Marne La Valée, May, 21-24, 2013

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Hosted by paristech and ENPC iftar

Autonomic Road Transport Support Systems (ARTS) is a COST EU Network, aiming to build up a community investigating the underlying principles, feasibility and implications of self-managing road transport systems.  As part of that effort the Network will provide the opportunity, through short, intensive training schools, for scientists and engineers to build up their knowledge and motivation to start a career in this area. The Training School is aimed particularly at early career researchers in traffic engineering, computer science and transport studies, providing intensive training to research students and re-training professions. The course will cover principles, techniques and applications concerned with embedding autonomic properties into road traffic control systems.

Who should attend?
Graduated and PhD students, researchers and young professionals who have a background in Computing/Engineering, with some previous knowledge of Road Transport Systems and ITS.

To give attendees:

  • a grounding in the (a) modelling of road traffic  (b) the principles of autonomic systems  (c) techniques relevant to the implementation of autonomic properties in systems, including agent-based and traditional artificial intelligence-based approaches
  • an appreciation of (a) the challenges in effective road traffic support  (b) relevant current and past research  (c) potential and implications of autonomic systems

The School is being organized by programme chairs Prof Omer Rana and Dr Neila Bhouri with the support of the local organization committee: Dr Zoi Christoforou from the Ecole des Ponts ParisTech and Dr mahdi Zargayouna from Ifsttar, Marne La Valée, France.

Duration and Dates:
The School will run for four full days, 21st- 24th May. Students are expected to register Tuesday, May 21th at at ENPC. Click to download event schedule.

Format and Contributors
Each day there will be 2 themes covered, one in the morning and one in the afternoon. Lectures, seminars and practical sessions will be used. Several speakers of international standing in the area will contribute to the course delivery.  Currently the list includes:

traner1Prof Markos Papageorgiou (Motorway Traffic Control), Technical University of Crete, Greece
tranner2Prof Omer Rana (Stream Processing and Analysis), Cardiff University, UK
trainner3 Dr Jean Patrick Lebacque (Traffic Modelling),
tranner4Dr. Neila Bhouri (Urban Traffic Control), IFSTTAR/GRETTIA, France
traner5 Prof Daniel Borrajo (Machine Learning and Planning), Universidad Carlos III de Madrid, Spain
trainer6Prof Lee McCluskey (Domain Modelling and Knowledge Engineering), University of Huddersfield, UK
trainer7 Prof Franziska Klugl (Multi-agent Systems and Simulation), Orebro University, Sweden
trainer8 Prof Manish Parashar (Autonomic Systems), Rutgers University, USA
trainer8 Prof Igor Grabec (Non-parametric Statistical Modelling of Stochastic time series and its application to Forecasting of Traffic Phenomena), University of Ljubljana, Slovenia
trainer10Dr Liana Cipcigan (Electric Vehicles and Modelling), Cardiff University, UK
trainer11 Professor Rene Meier (Pervasive Computing and Smart Transportation), Lucerne University of Applied Sciences, Switzerland


The Summer School will be held at ENPC (Ecole des Ponts ParisTech ) in Cité Descartes near Paris. Connection by urban trains with the centre of Paris, the Parc Disneyland and the main airports are available. All practical information about the Paris Area public transportation network is available from


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About Paris
Paris is the capital of France and the country's largest city. It is located on the river Seine, in northern France. An important settlement for more than two millennia, Paris is today one of the world's leading business and cultural centers, and its influence in politics, education, entertainment, media, fashion, science and the arts all contribute to its status as one of the world's major global cities.
The city is split in twenty districts (arrondissements) and cut across by the Seine in two parts: left and right bank. Paris is one of the most popular tourist destinations in the world, with 45 million tourists every year. There are numerous iconic landmarks among its many attractions, along with world-famous institutions and popular parks such as Disneyland Resort Paris, which is 10 min by train (RER A) from the conference venue. The city is not a sprawling capital: it only takes barely two hours to cross the city by foot ... but the places to visit never end! More informations can be found at Click here to view list of hotels that are closer to the venue.

Cost and Financial Support:  
The COST Network will provide tuition, lunches and coffee breaks to accepted participants. Accommodation, other meals and travel costs are extra, but we have a limited number of bursaries of 600 Euros per person, available on a competitive basis, to contribute towards the cost of travel and subsistence during your stay. Potential participants must apply for a place on the course, and provide the following information: a support statement of up to 500 words stating their relevant academic background and experience, their current work, and how the course will help them in the future Additionally, in the case of a research student, a support statement from their supervisor is required. 

Places on the course, and bursary support, will be awarded using the following criteria:
- residency in an ARTS COST country - see list of member countries on
- the 500 word support statement
- anticipated benefit to the applicant from the course
- suitability of the applicant’s academic background.

How To Apply: applicants must fill in the Application Form and send completed application form via email to:Prof Omer Rana:; and Dr Neila Bhouri:;

There will be a limit to the number of participants on the course. Applicants are encouraged to apply as soon as possible. DEADLINE FOR RECEIPT OF APPLICATIONS: March 30th 2013.

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