The recent emergence of new technologies such as sensor networks, smartphones, and new paradigms such as crowdsourcing social networks has induced profound transformations in the way traffic management will be done in the future. Sensor networks have enabled robust and resilient monitoring of the backbone of the transportation network. Smartphones have provided ubiquitous coverage of the transportation network, but provide unpredictable, sometimes unreliable data, which requires a significant amount of filtering. Finally, the emergence of social networks has enabled direct access to people’s mobility patterns, and the ability to interact with them, thus opening the incentivizing behavior change (either as part of a social group or through the social network). All of these advances have created the need for new modeling approaches (in particular to encompass the new data), new estimation, inference and filtering methods and are leading to the development of new paradigms for control. This revival of traffic engineering at the age of web 2.0 and social networks has created a significant amount of excitement in the mathematics, applied mathematics and engineering communities, to support these new approaches. In this program we would like to capture these breakthroughs and bring together the world experts of these cross-disciplinary fields.
Alexandre Bayen, Co-chair
(University of California, Berkeley (UC Berkeley))
Carlos Canudas de Wit
(Centre National de la Recherche Scientifique (CNRS))
Christian Claudel, Co-chair
(University of Texas at Austin)
Serge Hoogendoorn
(Technische Universiteit te Delft)
Jean-Patrick Lebacque
(IFSTTAR)
Hani Mahmassani
(Northwestern University)
Daniel Work, Co-chair
(University of Illinois at Urbana-Champaign)
Laura Wynter
(IBM)
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