171 citations · 623 across the 28 of their papers we have counts for
30 papers
The Complexity-Performance Tradeoff in Resource Allocation for URLLC Exploiting Dynamic CSI
Federico Librino, Paolo Santi
The challenging applications envisioned for the future Internet of Things networks are making it urgent to develop fast and scalable resource allocation algorithms able to meet the…
Resource Allocation and Sharing in URLLC for IoT Applications using Shareability Graphs
Federico Librino, Paolo Santi
The current development trend of wireless communications aims at coping with the very stringent reliability and latency requirements posed by several emerging Internet of Things (I…
EH from V2X Communications: the Price of Uncertainty and the Impact of Platooning
Federico Librino, Paolo Santi
In this paper, we explore how radio frequency energy from vehicular communications can be exploited by an energy harvesting device (EHD) placed alongside the road to deliver data p…
Speed Limit: Obey, or Not Obey?
Zhengbing He, Mirco Nanni, Luca Pappalardo +2
It is commonly expected that drivers maintain a driving speed that is lower than or around the posted speed limit, as failure to obey may result in safety risks and fines. By takin…
The 15-Minute City Quantified Using Mobility Data
Timur Abbiasov, Cate Heine, Edward Glaeser +4
Americans travel 7 to 9 miles on average for shopping and recreational activities, which is far longer than the 15-minute (walking) city advocated by ecologically-oriented urban pl…
Identifying Damage-Sensitive Spatial Vibration Characteristics of Bridges from Widespread Smartphone Data
Liam Cronin, Soheil Sadeghi Eshkevari, Thomas J. Matarazzo +5
The knowledge gap in the expected and actual conditions of bridges has created worldwide deficits in infrastructure service and funding challenges. Despite rapid advances over the…
The universality in urban commuting across and within cities
Lei Dong, Paolo Santi, Yu Liu +2
Commuting is a key mechanism that governs the dynamics of cities. Despite its importance, very little is known of the properties and mechanisms underlying this crucial urban proces…
Evaluation of non-pharmaceutical interventions and optimal strategies for containing the COVID-19 pandemic
Xiao Zhou, Xiaohu Zhang, Paolo Santi +1
Given multiple new COVID-19 variants are continuously emerging, non-pharmaceutical interventions are still primary control strategies to curb the further spread of coronavirus. How…
The effect of co-location on human communication networks
Daniel Carmody, Martina Mazzarello, Paolo Santi +5
The ability to rewire ties in communication networks is vital for large-scale human cooperation and the spread of new ideas. We show that lack of researcher co-location during the…
Vector-based Pedestrian Navigation in Cities
Christian Bongiorno, Yulun Zhou, Marta Kryven +5
How do pedestrians choose their paths within city street networks? Researchers have tried to shed light on this matter through strictly controlled experiments, but an ultimate answ…
Travel distance, frequency of return and the spread of disease
Cate Heine, Kevin P. O'Keeffe, Paolo Santi +2
In 2020 and 2021, the spread of COVID-19 was globally addressed by imposing restrictions on the distance of individual travel. Recent literature has uncovered a clear pattern in hu…
Crowdsourcing Bridge Vital Signs with Smartphone Vehicle Trips
Thomas J. Matarazzo, Dániel Kondor, Sebastiano Milardo +5
A key challenge in monitoring and managing the structural health of bridges is the high-cost associated with specialized sensor networks. In the past decade, researchers predicted…
ConiVAT: Cluster Tendency Assessment and Clustering with Partial Background Knowledge
Punit Rathore, James C. Bezdek, Paolo Santi +1
The VAT method is a visual technique for determining the potential cluster structure and the possible number of clusters in numerical data. Its improved version, iVAT, uses a path-…
Identifying synergies in private and public transportation
Iva Bojic, Dániel Kondor, Wei Tu +3
In this paper, we explore existing synergies between private and public transportation as provided by taxi and bus services on the level of individual trips. While these modes are…
The darkweb: a social network anomaly
Kevin P. O'Keeffe, Virgil Griffith, Yang Xu +2
We analyse the darkweb and find its structure is unusual. For example, of darkweb sites \emph{never} link to another site. To call the darkweb a "web" is thus a misno…
The spectral dimension of human mobility
Lei Dong, Kevin O'Keeffe, Paolo Santi +5
Human mobility patterns are surprisingly structured. In spite of many hard to model factors, such as climate, culture, and socioeconomic opportunities, aggregate migration rates ob…
Using reinforcement learning to minimize taxi idle times
Kevin O'Keeffe, Sam Anklesaria, Paolo Santo +1
Taxis spend a significant amount of time idle, searching for passengers. The routes vacant taxis should follow in order to minimize their idle times are hard to calculate; they dep…
Modeling vehicular mobility patterns using recurrent neural networks
Kevin O'Keeffe, Paolo Santi, Carlo Ratti
Data on vehicular mobility patterns have proved useful in many contexts. Yet generative models which accurately reproduce these mobility patterns are scarce. Here, we explore if re…
Estimating the potential for shared autonomous scooters
Dániel Kondor, Xiaohu Zhang, Malika Meghjani +3
Recent technological developments have shown significant potential for transforming urban mobility. Considering first- and last-mile travel and short trips, the rapid adoption of d…
Urban sensing as a random search process
Kevin O'Keeffe, Paolo Santi, Brandon Wang +1
We study a new random search process: the \textit{taxi-drive}. The motivation for this process comes from urban sensing, in which sensors are mounted on moving vehicles such as tax…
Quantifying the sensing power of crowd-sourced vehicle fleets
Kevin P. O'Keeffe, Amin Anjomshoaa, Steven H. Strogatz +2
Sensors can measure air quality, traffic congestion, and other aspects of urban environments. The fine-grained diagnostic information they provide could help urban managers to moni…
Addressing the "minimum parking" problem for on-demand mobility
Daniel Kondor, Paolo Santi, Diem-Trinh Le +3
Parking infrastructure is pervasive and occupies large swaths of land in cities. However, on-demand (OD) mobility -- such as commercial services Uber, Grab or Didi -- has started r…
Driving Behavior Analysis through CAN Bus Data in an Uncontrolled Environment
Umberto Fugiglando, Emanuele Massaro, Paolo Santi +5
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 enviro…
Estimating savings in parking demand using shared vehicles for home-work commuting
Dániel Kondor, Hongmou Zhang, Remi Tachet +2
The increasing availability and adoption of shared vehicles as an alternative to personally-owned cars presents ample opportunities for achieving more efficient transportation in c…