Marialisa Nigro

According to our database, Marialisa Nigro authored at least 17 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Learning from Imbalanced Datasets: The Bike-Sharing Inventory Problem Using Sparse Information.

Giovanni Ceccarelli, Guido Cantelmo, Marialisa Nigro, Constantinos Antoniou

Algorithms, July, 2023

Applying UAVs for indoor emergency risk evaluation.

Livia Mannini, Marialisa Nigro, Marcella Samà

Proceedings of the 8th International Conference on Models and Technologies for Intelligent Transportation Systems, 2023

Pedestrian analysis for crowd monitoring: the Milan case study (Italy).

Andreea Dumitru, Federico Karagulian, Carlo Liberto, Marialisa Nigro, Gaetano Valenti

Proceedings of the 8th International Conference on Models and Technologies for Intelligent Transportation Systems, 2023

Multi-source Data-driven Procedure for Traffic Analysis Zones Definition.

Marisdea Castiglione, Marialisa Nigro, Nicola Sacco

Proceedings of the 8th International Conference on Models and Technologies for Intelligent Transportation Systems, 2023

2021

Machine Learning from imbalanced data-sets: an application to the bike-sharing inventory problem.

Giovanni Ceccarelli, Guido Cantelmo, Marialisa Nigro, Constantinos Antoniou

Proceedings of the 7th International Conference on Models and Technologies for Intelligent Transportation Systems, 2021

Analysis and Management of E-scooter Sharing Service in Italy.

Stefano Carrese, Tommaso Giacchetti, Marialisa Nigro, Giorgio Algeri, Giovanni Ceccarelli

Proceedings of the 7th International Conference on Models and Technologies for Intelligent Transportation Systems, 2021

2019

A simulation tool for energy management of e-mobility in urban areas.

Marina Ferrara, Bernardo Monechi, Gaetano Valenti, Carlo Liberto, Marialisa Nigro, Indaco Biazzo

Proceedings of the 6th International Conference on Models and Technologies for Intelligent Transportation Systems, 2019

2018

The Impact of Electric Mobility Scenarios in Large Urban Areas: The Rome Case Study.

Carlo Liberto, Gaetano Valenti, Silvia Orchi, Maria Lelli, Marialisa Nigro, Marina Ferrara

IEEE Trans. Intell. Transp. Syst., 2018

Exploiting floating car data for time-dependent Origin-Destination matrices estimation.

Marialisa Nigro, Ernesto Cipriani, Andrea del Giudice

J. Intell. Transp. Syst., 2018

The value of real-time traffic information in urban freight distribution.

Marta Flamini, Marialisa Nigro, Dario Pacciarelli

J. Intell. Transp. Syst., 2018

2017

Evaluation of the impact of e-mobility scenarios in large urban areas.

Carlo Liberto, Gaetano Valenti, Maria Lelli, Marina Ferrara, Marialisa Nigro

Proceedings of the 5th IEEE International Conference on Models and Technologies for Intelligent Transportation Systems, 2017

2015

Analysis of the demand for an electronic advise of traffic code violations.

Stefano Carrese, Marialisa Nigro, Sergio Maria Patella

Proceedings of the 2015 International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS), 2015

The Impact of Route Choice Modeling on Dynamic OD Estimation.

Ernesto Cipriani, Andrea del Giudice, Marialisa Nigro, Francesco Viti, Guido Cantelmo

Proceedings of the IEEE 18th International Conference on Intelligent Transportation Systems, 2015

A Two-Steps Dynamic Demand Estimation Approach Sequentially Adjusting Generations and Distributions.

Guido Cantelmo, Francesco Viti, Ernesto Cipriani, Marialisa Nigro

Proceedings of the IEEE 18th International Conference on Intelligent Transportation Systems, 2015

2014

An Adaptive Bi-Level Gradient Procedure for the Estimation of Dynamic Traffic Demand.

Guido Cantelmo, Ernesto Cipriani, Andrea Gemma, Marialisa Nigro

IEEE Trans. Intell. Transp. Syst., 2014

2013

A dynamic mesoscopic emission model for signalized intersections.

Stefano Gori, Simone La Spada, Livia Mannini, Marialisa Nigro

Proceedings of the 16th International IEEE Conference on Intelligent Transportation Systems, 2013

A bi-level gradient approximation method for dynamic traffic demand estimation: Sensitivity analysis and adaptive approach.

Ernesto Cipriani, Andrea Gemma, Marialisa Nigro

Proceedings of the 16th International IEEE Conference on Intelligent Transportation Systems, 2013