366 citations · 2k across the 43 of their papers we have counts for
10 papers · 1 filter
A city-scale IoT-enabled ridesharing platform
Claudio Gambella, Julien Monteil, Anton Dekusar +3
The advent of on-demand mobility systems is expected to have a tremendous potential on the wellness of transportation users in cities. Yet such positive effects are reached when th…
Optimization and Learning with Information Streams: Time-varying Algorithms and Applications
Emiliano Dall'Anese, Andrea Simonetto, Stephen Becker +1
There is a growing cross-disciplinary effort in the broad domain of optimization and learning with streams of data, applied to settings where traditional batch optimization techniq…
Inexact Online Proximal-gradient Method for Time-varying Convex Optimization
Amirhossein Ajalloeian, Andrea Simonetto, Emiliano Dall'Anese
This paper considers an online proximal-gradient method to track the minimizers of a composite convex function that may continuously evolve over time. The online proximal-gradient…
On the needs for MaaS platforms to handle competition in ridesharing mobility
Venktesh Pandey, Julien Monteil, Claudio Gambella +1
Ridesharing has been emerging as a new type of mobility. However, the early promises of ridesharing for alleviating congestion in cities may be undermined by a number of challenges…
Personalized Optimization with User's Feedback
Andrea Simonetto, Emiliano Dall'Anese, Julien Monteil +1
This paper develops an online algorithm to solve a time-varying optimization problem with an objective that comprises a known time-varying cost and an unknown function. This proble…
On the Convergence of the Inexact Running Krasnosel'skii-Mann Method
Emiliano Dall'Anese, Andrea Simonetto, Andrey Bernstein
This paper leverages a framework based on averaged operators to tackle the problem of tracking fixed points associated with maps that evolve over time. In particular, the paper con…
Prediction-Correction Splittings for Nonsmooth Time-Varying Optimization
Nicola Bastianello, Andrea Simonetto, Ruggero Carli
We address the solution of time-varying optimization problems characterized by the sum of a time-varying strongly convex function and a time-invariant nonsmooth convex function. We…
Real-time City-scale Ridesharing via Linear Assignment Problems
Andrea Simonetto, Julien Monteil, Claudio Gambella
In this paper, we propose a novel, computational efficient, dynamic ridesharing algorithm. The beneficial computational properties of the algorithm arise from casting the rideshari…
Prediction-Correction for Nonsmooth Time-Varying Optimization via Forward-Backward Envelopes
Nicola Bastianello, Andrea Simonetto, Ruggero Carli
We present an algorithm for minimizing the sum of a strongly convex time-varying function with a time-invariant, convex, and nonsmooth function. The proposed algorithm employs the…
Dynamic Distribution State Estimation Using Synchrophasor Data
Jianhan Song, Emiliano Dall'Anese, Andrea Simonetto +1
The increasing deployment of distribution-level phasor measurement units (PMUs) calls for dynamic distribution state estimation (DDSE) approaches that tap into high-rate measuremen…