7 papers
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…
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…
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…
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…
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…
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…