Abstract Advances in Information and Communication Technologies (ICT) allow the
transportation community to foresee dramatic improvements for the incoming years in terms …

We describe an exciting new application domain for deep reinforcement learning (RL):
droplet routing on digital microfluidic biochips (DMFBs). A DMFB consists of a two …

Microfluidic biochips are being utilized for clinical diagnostics, including COVID-19 testing,
because they provide sample-to-result turnaround at low cost. Recently, microelectrode-dot …

Modeling and simulation play an important role in transportation networks analysis. With the
widespread of personalized real-time information sources, it is relevant for the simulation …

Simulation models are widely used to study complex systems. Current simulation models
are generally handcrafted using expert knowledge (knowledge-driven); however, this …

The relevance of decision making in autonomous systems is intrinsically related to the
system capacity to discriminate its perception-action states. This is particularly challenging in …

Dans un proche futur, les véhicules connectés et autonomes remplaceront nos véhicules
actuels, et il sera nécessaire de repenser intégralement la mobilité. Le conducteur, avec ses …

It is expected that connected and autonomous vehicles (CAVs) will soon become a regular
means of transportation. To fully leverage the potential of this new technology, it is …

L'utilisation des nouvelles technologies de l'information et des communications pour
l'amélioration des systèmes de transport est une solution devenue centrale dans le domaine …

Globally, urbanization has increased due to the availability of the facilities, jobs, and better
standard of living in cities. Increase in urban population has caused increase in urban …