Search Results for author: Paolo Santi

Found 7 papers, 2 papers with code

Evaluation of non-pharmaceutical interventions and optimal strategies for containing the COVID-19 pandemic

no code implementations28 Feb 2022 Xiao Zhou, Xiaohu Zhang, Paolo Santi, Carlo Ratti

Given multiple new COVID-19 variants are continuously emerging, non-pharmaceutical interventions are still primary control strategies to curb the further spread of coronavirus.

Decision Making

Crowdsourcing Bridge Vital Signs with Smartphone Vehicle Trips

no code implementations6 Oct 2020 Thomas J. Matarazzo, Dániel Kondor, Paolo Santi, Sebastiano Milardo, Soheil S. Eshkevari, Shamim N. Pakzad, Carlo Ratti

The primary study collects smartphone data from controlled field experiments and "uncontrolled" UBER rides on a long-span suspension bridge in the USA and develops an analytical method to accurately recover modal properties.

Computers and Society Applied Physics

ConiVAT: Cluster Tendency Assessment and Clustering with Partial Background Knowledge

no code implementations21 Aug 2020 Punit Rathore, James C. Bezdek, Paolo Santi, Carlo Ratti

We demonstrate ConiVAT approach to visual assessment and single linkage clustering on nine datasets to show that, it improves the quality of iVAT images for complex datasets, and it also overcomes the limitation of SL clustering with VAT/iVAT due to "noisy" bridges between clusters.

Clustering

Estimating the potential for shared autonomous scooters

2 code implementations9 Sep 2019 Dániel Kondor, Xiaohu Zhang, Malika Meghjani, Paolo Santi, Jinhua Zhao, Carlo Ratti

Recent technological developments have shown significant potential for transforming urban mobility.

Computers and Society

Estimating savings in parking demand using shared vehicles for home-work commuting

1 code implementation13 Oct 2017 Dániel Kondor, Hongmou Zhang, Remi Tachet, Paolo Santi, Carlo Ratti

The increasing availability and adoption of shared vehicles as an alternative to personally-owned cars presents ample opportunities for achieving more efficient transportation in cities.

Computers and Society Social and Information Networks

Driving Behavior Analysis through CAN Bus Data in an Uncontrolled Environment

no code implementations9 Oct 2017 Umberto Fugiglando, Emanuele Massaro, Paolo Santi, Sebastiano Milardo, Kacem Abida, Rainer Stahlmann, Florian Netter, Carlo Ratti

Cars can nowadays record several thousands of signals through the CAN bus technology and potentially provide real-time information on the car, the driver and the surrounding environment.

Clustering General Classification

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