A bi-level gradient approximation method for dynamic traffic demand estimation: Sensitivity analysis and adaptive approach. - Ernesto Cipriani; Andrea Gemma; Marialisa Nigro (ITSC, 2013)

A dynamic mesoscopic emission model for signalized intersections. - Stefano Gori; Simone La Spada; Livia Mannini; Marialisa Nigro (ITSC, 2013)

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)

A Two-Steps Dynamic Demand Estimation Approach Sequentially Adjusting Generations and Distributions. - Guido Cantelmo; Francesco Viti; Ernesto Cipriani; Marialisa Nigro (ITSC, 2015)

The Impact of Route Choice Modeling on Dynamic OD Estimation. - Ernesto Cipriani; Andrea del Giudice; Marialisa Nigro; Francesco Viti; Guido Cantelmo (ITSC, 2015)

Analysis of the demand for an electronic advise of traffic code violations. - Stefano Carrese; Marialisa Nigro; Sergio Maria Patella (MT-ITS, 2015)

Evaluation of the impact of e-mobility scenarios in large urban areas. - Carlo Liberto; Gaetano Valenti; Maria Lelli; Marina Ferrara; Marialisa Nigro (MT-ITS, 2017)

The value of real-time traffic information in urban freight distribution. - Marta Flamini; Marialisa Nigro; Dario Pacciarelli (J. 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 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)

A simulation tool for energy management of e-mobility in urban areas. - Marina Ferrara; Bernardo Monechi; Gaetano Valenti; Carlo Liberto; Marialisa Nigro; Indaco Biazzo (MT-ITS, 2019)

Analysis and Management of E-scooter Sharing Service in Italy. - Stefano Carrese; Tommaso Giacchetti; Marialisa Nigro; Giorgio Algeri; Giovanni Ceccarelli (MT-ITS, 2021)

Machine Learning from imbalanced data-sets: an application to the bike-sharing inventory problem. - Giovanni Ceccarelli; Guido Cantelmo; Marialisa Nigro; Constantinos Antoniou 001 (MT-ITS, 2021)

Multi-source Data-driven Procedure for Traffic Analysis Zones Definition. - Marisdea Castiglione; Marialisa Nigro; Nicola Sacco (MT-ITS, 2023)

Pedestrian analysis for crowd monitoring: the Milan case study (Italy). - Andreea Dumitru; Federico Karagulian; Carlo Liberto; Marialisa Nigro; Gaetano Valenti (MT-ITS, 2023)

Applying UAVs for indoor emergency risk evaluation. - Livia Mannini; Marialisa Nigro; Marcella Samà (MT-ITS, 2023)

Learning from Imbalanced Datasets: The Bike-Sharing Inventory Problem Using Sparse Information. - Giovanni Ceccarelli; Guido Cantelmo; Marialisa Nigro; Constantinos Antoniou 001 (Algorithms, 2023)

Willingness to Subscribe to a Meal Kit Delivery Service: A First Investigation on Its Generated Impact in Italy. - Lupini Pagliara Luca; Marialisa Nigro; Stimilli Arianna (ICCSA (Workshops 7), 2024)