Guido Cantelmo
Technische Universität München
H-index: 12
Europe-Germany
Top articles of Guido Cantelmo
Machine learning for activity pattern detection
2023/11/2
Guido Cantelmo
H-Index: 7
Constantinos Antoniou
H-Index: 34
Learning from Imbalanced Datasets: The Bike-Sharing Inventory Problem Using Sparse Information
Algorithms
2023/7/22
Giovanni Ceccarelli
H-Index: 7
Guido Cantelmo
H-Index: 7
Marialisa Nigro
H-Index: 17
Constantinos Antoniou
H-Index: 34
Long-term & short-term bike sharing demand predictions using contextual data
2023/6/14
Constantinos Antoniou
H-Index: 34
Guido Cantelmo
H-Index: 7
Car-sharing subscription preferences and the role of incentives: The case of Copenhagen, Munich, and Tel Aviv-Yafo
Case Studies on Transport Policy
2023/6/1
Predicting network flows from speeds using open data and transfer learning
IET Intelligent Transport Systems
2023/4
Vishal Mahajan
H-Index: 2
Guido Cantelmo
H-Index: 7
Raoul Rothfeld
H-Index: 9
Constantinos Antoniou
H-Index: 34
Towards automated calibration of large-scale traffic simulations
preprint
2023
Car-Sharing Subscription Preferences: The Case of Copenhagen, Munich, and Tel Aviv-Yafo
arXiv preprint arXiv:2206.02448
2022/6/6
Dynamic demand estimation on large scale networks using Principal Component Analysis: The case of non-existent or irrelevant historical estimates
Transportation Research Part C: Emerging Technologies
2022/3/1
A Gaussian sampling heuristic estimation model for developing synthetic trip sets
Computer‐Aided Civil and Infrastructure Engineering
2022/1
Guido Cantelmo
H-Index: 7
Constantinos Antoniou
H-Index: 34
Aligning users’ and stakeholders’ needs: How incentives can reshape the carsharing market
Transport Policy
2022/9/1
Data to the people: a review of public and proprietary data for transport models
2022/7/4
Explaining demand patterns during COVID-19 using opportunistic data: a case study of the city of Munich
European Transport Research Review
2021/12
Mobility-Aware Solutions for Edge Data Center Deployment in Urban Environments
2021/7/28
Machine Learning from imbalanced data-sets: an application to the bike-sharing inventory problem
2021/6/16
Giovanni Ceccarelli
H-Index: 7
Guido Cantelmo
H-Index: 7
Marialisa Nigro
H-Index: 17
Constantinos Antoniou
H-Index: 34
Assignment matrix free algorithms for on-line estimation of dynamic origin-destination matrices
Frontiers in Future Transportation
2021/3/18
Guido Cantelmo
H-Index: 7
Moeid Qurashi
H-Index: 2
Marialisa Nigro
H-Index: 17
Constantinos Antoniou
H-Index: 34
Mobility-driven and energy-efficient deployment of edge data centers in urban environments
IEEE Transactions on Sustainable Computing
2021/2/3
Share More: Shared MObility Rewards-Summary report
2021
PC-SPSA: Exploration and assessment of different historical data--set generation methods for enhanced DTA model calibration
2021
A big data demand estimation model for urban congested networks
Transport and Telecommunication Journal
2020/12
Guido Cantelmo
H-Index: 7
Francesco Viti
H-Index: 17
Low-dimensional model for bike-sharing demand forecasting that explicitly accounts for weather data
Transportation research record
2020/8
Co-Authors
