Guido Cantelmo

According to our database, Guido Cantelmo authored at least 21 papers between 2014 and 2023.

Collaborative distances:

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

2023

Machine learning for activity pattern detection.

Natalia Selini Hadjidimitriou, Guido Cantelmo, Constantinos Antoniou

J. Intell. Transp. Syst., November, 2023

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

Giovanni Ceccarelli, Guido Cantelmo, Marialisa Nigro, Constantinos Antoniou

Algorithms, July, 2023

Long-term & short-term bike sharing demand predictions using contextual data.

Mirfarnam Tabandeh, Constantinos Antoniou, Guido Cantelmo

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

2022

Mobility-Driven and Energy-Efficient Deployment of Edge Data Centers in Urban Environments.

Piergiorgio Vitello, Andrea Capponi, Claudio Fiandrino, Guido Cantelmo, Dzmitry Kliazovich

IEEE Trans. Sustain. Comput., 2022

A Gaussian sampling heuristic estimation model for developing synthetic trip sets.

Sérgio F. A. Batista, Guido Cantelmo, Mónica Menéndez, Constantinos Antoniou

Comput. Aided Civ. Infrastructure Eng., 2022

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

2019

Incorporating Trip Chaining within Online Demand Estimation.

Guido Cantelmo, Moeid Qurashi, A. Arun Prakash, Constantinos Antoniou, Francesco Viti

CoRR, 2019

Leveraging GIS Data and Topological Information to Infer Trip Chaining Behaviour at Macroscopic Level.

Filippo Carrese, Guido Cantelmo, Gaetano Fusco, Francesco Viti

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

A low dimensional model for bike sharing demand forecasting.

Guido Cantelmo, Rafal Kucharski, Constantinos Antoniou

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

Crowdsensed Data Learning-Driven Prediction of Local Businesses Attractiveness in Smart Cities.

Andrea Capponi, Piergiorgio Vitello, Claudio Fiandrino, Guido Cantelmo, Dzmitry Kliazovich, Ulrich Sorger, Pascal Bouvry

Proceedings of the 2019 IEEE Symposium on Computers and Communications, 2019

The Impact of Human Mobility on Edge Data Center Deployment in Urban Environments.

Piergiorgio Vitello, Andrea Capponi, Claudio Fiandrino, Guido Cantelmo, Dzmitry Kliazovich

Proceedings of the 2019 IEEE Global Communications Conference, 2019

2018

Using Passive Data Collection Methods to Learn Complex Mobility Patterns: An Exploratory Analysis.

Bogdan Toader, Guido Cantelmo, Mioara Popescu, Francesco Viti

Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

2017

Demo: MAMBA: A platform for personalised multimodal trip planning.

Sébastien Faye, Guido Cantelmo, Ibrahim Tahirou, Thierry Derrmann, Francesco Viti, Thomas Engel

Proceedings of the 2017 IEEE Vehicular Networking Conference, 2017

Effectiveness of the two-step dynamic demand estimation model on large networks.

Guido Cantelmo, Francesco Viti, Thierry Derrmann

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

2016

A network-wide assessment of local signal control policies' performance in practical implementations.

Guido Cantelmo, Francesco Viti, Marco Rinaldi

Proceedings of the 19th IEEE International Conference on Intelligent Transportation Systems, 2016

2015

Assessing the consistency between observed and modelled route choices through GPS data.

Selini Natalia Hadjidimitriou, Mauro Dell'Amico, Guido Cantelmo, Francesco Viti

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

A Markov chain dynamic model for trip generation and distribution based on CDR.

Simone Aniello Di Donna, Guido Cantelmo, Francesco Viti

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

Systematic assessment of local & global signal control policies: A methodological perspective.

Guido Cantelmo, Francesco Viti, Marco Rinaldi, Chris M. J. Tampère, Michael J. Smith, Klaus Nokel

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