activity
20162019
most citedReal-time City-scale Ridesharing via Linear Assignment Problems

201 citations · 344 across the 9 of their papers we have counts for

collaborators

10 papers

cs.CY2019★ 7 cited

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…

cs.LG2019

On model selection for scalable time series forecasting in transport networks

Julien Monteil, Anton Dekusar, Claudio Gambella +2

The transport literature is dense regarding short-term traffic predictions, up to the scale of 1 hour, yet less dense for long-term traffic predictions. The transport literature is…

cs.CY2019★ 55 cited

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…

math.OC2019★ 27 cited

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…

math.OC2019★ 201 cited

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…

cs.LG2018★ 53 cited

Using Deep Learning to Extend the Range of Air-Pollution Monitoring and Forecasting

Philipp Haehnel, Jakub Marecek, Julien Monteil +1

Across numerous applications, forecasting relies on numerical solvers for partial differential equations (PDEs). Although the use of deep-learning techniques has been proposed, act…

cs.LG2018★ 1 cited

Bayesian Classifier for Route Prediction with Markov Chains

Jonathan P. Epperlein, Julien Monteil, Mingming Liu +3

We present here a general framework and a specific algorithm for predicting the destination, route, or more generally a pattern, of an ongoing journey, building on the recent work…

physics.soc-ph2018

A Hidden Markov Model for Route and Destination Prediction

Yassine Lassoued, Julien Monteil, Yingqi Gu +3

We present a simple model and algorithm for predicting driver destinations and routes, based on the input of the latest road links visited as part of an ongoing trip. The algorithm…

eess.SY2018

On string stability of nonlinear bidirectional asymmetric heterogeneous platoon systems

Julien Monteil, Giovanni Russo, Robert Shorten

This paper is concerned with the study of bidirectionally coupled platoon systems. The case considered is when the vehicles are heterogeneous and the coupling can be nonlinear and…

eess.SY2016

and stability analysis of heterogeneous traffic with application to parameter optimisation for the control of automated vehicles

Julien Monteil, Melanie Bouroche, Douglas J. Leith

The presence of (partially) automated vehicles on the roads presents an opportunity to compensate the unstable behaviour of conventional vehicles. Vehicles subject to perturbations…