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Marialisa Nigro
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2020 – today
- 2024
- [c13]Lupini Pagliara Luca, Marialisa Nigro, Stimilli Arianna:
Willingness to Subscribe to a Meal Kit Delivery Service: A First Investigation on Its Generated Impact in Italy. ICCSA (Workshops 7) 2024: 114-128 - 2023
- [j5]Giovanni Ceccarelli, Guido Cantelmo, Marialisa Nigro, Constantinos Antoniou:
Learning from Imbalanced Datasets: The Bike-Sharing Inventory Problem Using Sparse Information. Algorithms 16(7): 351 (2023) - [c12]Marisdea Castiglione, Marialisa Nigro, Nicola Sacco:
Multi-source Data-driven Procedure for Traffic Analysis Zones Definition. MT-ITS 2023: 1-6 - [c11]Andreea Dumitru, Federico Karagulian, Carlo Liberto, Marialisa Nigro, Gaetano Valenti:
Pedestrian analysis for crowd monitoring: the Milan case study (Italy). MT-ITS 2023: 1-6 - [c10]Livia Mannini, Marialisa Nigro, Marcella Samà:
Applying UAVs for indoor emergency risk evaluation. MT-ITS 2023: 1-6 - 2021
- [c9]Stefano Carrese, Tommaso Giacchetti, Marialisa Nigro, Giorgio Algeri, Giovanni Ceccarelli:
Analysis and Management of E-scooter Sharing Service in Italy. MT-ITS 2021: 1-7 - [c8]Giovanni Ceccarelli, Guido Cantelmo, Marialisa Nigro, Constantinos Antoniou:
Machine Learning from imbalanced data-sets: an application to the bike-sharing inventory problem. MT-ITS 2021: 1-6
2010 – 2019
- 2019
- [c7]Marina Ferrara, Bernardo Monechi, Gaetano Valenti, Carlo Liberto, Marialisa Nigro, Indaco Biazzo:
A simulation tool for energy management of e-mobility in urban areas. MT-ITS 2019: 1-7 - 2018
- [j4]Marta Flamini, Marialisa Nigro, Dario Pacciarelli:
The value of real-time traffic information in urban freight distribution. J. Intell. Transp. Syst. 22(1): 26-39 (2018) - [j3]Marialisa Nigro, Ernesto Cipriani, Andrea del Giudice:
Exploiting floating car data for time-dependent Origin-Destination matrices estimation. J. Intell. Transp. Syst. 22(2): 159-174 (2018) - [j2]Carlo Liberto, Gaetano Valenti, Silvia Orchi, Maria Lelli, Marialisa Nigro, Marina Ferrara:
The Impact of Electric Mobility Scenarios in Large Urban Areas: The Rome Case Study. IEEE Trans. Intell. Transp. Syst. 19(11): 3540-3549 (2018) - 2017
- [c6]Carlo Liberto, Gaetano Valenti, Maria Lelli, Marina Ferrara, Marialisa Nigro:
Evaluation of the impact of e-mobility scenarios in large urban areas. MT-ITS 2017: 379-384 - 2015
- [c5]Guido Cantelmo, Francesco Viti, Ernesto Cipriani, Marialisa Nigro:
A Two-Steps Dynamic Demand Estimation Approach Sequentially Adjusting Generations and Distributions. ITSC 2015: 1477-1482 - [c4]Ernesto Cipriani, Andrea del Giudice, Marialisa Nigro, Francesco Viti, Guido Cantelmo:
The Impact of Route Choice Modeling on Dynamic OD Estimation. ITSC 2015: 1483-1488 - [c3]Stefano Carrese, Marialisa Nigro, Sergio Maria Patella:
Analysis of the demand for an electronic advise of traffic code violations. MT-ITS 2015: 402-407 - 2014
- [j1]Guido Cantelmo, Ernesto Cipriani, Andrea Gemma, Marialisa Nigro:
An Adaptive Bi-Level Gradient Procedure for the Estimation of Dynamic Traffic Demand. IEEE Trans. Intell. Transp. Syst. 15(3): 1348-1361 (2014) - 2013
- [c2]Ernesto Cipriani, Andrea Gemma, Marialisa Nigro:
A bi-level gradient approximation method for dynamic traffic demand estimation: Sensitivity analysis and adaptive approach. ITSC 2013: 2100-2105 - [c1]Stefano Gori, Simone La Spada, Livia Mannini, Marialisa Nigro:
A dynamic mesoscopic emission model for signalized intersections. ITSC 2013: 2212-2217
Coauthor Index
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