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Tuesday 26 September 2023,

What are the key challenges to the digitalization of vehicular transportation as a modern process?  Come to listen to Christian S. Jensen, Obel Professor of Computer Science at Aalborg University, Denmark, discuss his research. This lecture is hosted by Selçuk Candan, Arizona State University professor.

Seminar: New Paradigms for Data-Intensive Vehicle Routing
Friday, November 2, 2018
3 p.m.
Brickyard Engineering (BYENG) 209, Tempe campus [map]


As society-wide digitalization unfolds, important societal processes are being captured at an unprecedented level of detail, enabling us to better understand and improve those processes. Vehicular transportation, one of these processes, show the availability of vehicle trajectories holds the potential to enable better routing. In particular, the increasing availability of trajectory data renders the traditional routing paradigm, where a road network is modeled and weights are assigned to edges, obsolete. Now, the field calls for new and data-intensive paradigms that thrive on trajectory data.

The talk covers several paradigms, focusing on so-called cost-oblivious routing, where no costs are associated with routes, but where historical trajectories are used “directly” for routing. Massive trajectory collections are sparse in this setting, and a key challenge is to transfer trajectories to uncovered source-destination pairs so that routing can be done for any such pair.

About the speaker

Christian S. Jensen is Obel Professor of Computer Science at Aalborg University, Denmark. In the past, he was with Aarhus University for three years and spent a one-year sabbatical at Google Inc., Mountain View. His research concerns data management and data-intensive systems with a focus is on temporal and spatio-temporal data management. Jensen is an ACM and an IEEE Fellow. He is a member of Academia Europaea, the Royal Danish Academy of Sciences and Letters and the Danish Academy of Technical Sciences. He is Editor-in-Chief of ACM Transactions on Database Systems.


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