Welcome to the webpage of the 2nd Workshop on Data and Transportation Science Cooperation (DATRASCOOP), that will be held in Tenerife (Canary Islands, Spain) between the 23rd and the 29th of September of 2024 (with the main workshop taking place between the 24th and 28th of September).

The workshop's objective is to bring together experts from transportation, signal processing, machine learning, and optimization, with the aim of fostering knowledge exchange and identifying innovative collaborative approaches to tackle the most critical challenges encountered by transportation systems.

Topics of interest include:

• Mixed Integer Programming techniques for transportation systems.
• Nonlinear optimization for transportation systems.
• Machine learning for transportation systems.
• Stochastic monitoring, control and optimization of transportation systems.
• Robust monitoring, control and optimization of transportation systems.
• Bilevel optimization in transportation systems.
• Reinforcement learning for transportation systems.
• Prediction of spatio-temporal signals in transportation systems.
• Sparse optimization for transportation systems.
• Application of deep learning to the monitoring, control and optimization of transportation systems.

This workshop is partially supported by the MCIN/AEI/ 10.13039/501100011033 and the European Union Next Generation EU/PRTR (Grant TED2021-130347B-I00), the ELLIS Madrid Unit and the Community of Madrid.