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A Machine-Learned Ranking Algorithm for Dynamic and Personalised Car Pooling Services
Car pooling is expected to significantly help in reducing traffic congestion and pollution in cities by enabling drivers to share their cars with travellers with similar itineraries and time schedules.
Cellular traffic offloading via Opportunistic Networking with Reinforcement Learning
We show that our system based on Reinforcement Learning is able to automatically learn a very efficient strategy to reduce the traffic on the cellular network, without relying on any additional context information about the opportunistic network.
Weak Signals in the Mobility Landscape: Car Sharing in Ten European Cities
Car sharing is one the pillars of a smart transportation infrastructure, as it is expected to reduce traffic congestion, parking demands and pollution in our cities.
Preemptive periodic epidemic control reduces life and healthcare system costs without aggravation of social and economic losses
Many countries are managing COVID-19 epidemic by switching between lighter and heavier restrictions.
Vaccination and SARS-CoV-2 variants: how much containment is still needed? A quantitative assessment
Despite the progress in medical care, combined population-wide interventions (such as physical distancing, testing and contact tracing) are still crucial to manage the SARS-CoV-2 pandemic, aggravated by the emergence of new highly transmissible variants.
CovidDeep: SARS-CoV-2/COVID-19 Test Based on Wearable Medical Sensors and Efficient Neural Networks
The novel coronavirus (SARS-CoV-2) has led to a pandemic.
Car sharing through the data analysis lens
Car sharing is one the pillars of a smart transportation infrastructure, as it is expected to reduce traffic congestion, parking demands and pollution in our cities.
