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Guido Cantelmo · Study
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Author
Guido Cantelmo
25 works
· latest 2025
· 5 institutions
cluster: provisional
ORCID 0000-0001-5218-2609
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16
Citations
376
Works here
25
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25
Most cited in this library
Explaining demand patterns during COVID-19 using opportunistic data: a case study of the city of Munich
2021 · 34 citations
Data to the people: a review of public and proprietary data for transport models
2021 · 33 citations
Low-Dimensional Model for Bike-Sharing Demand Forecasting that Explicitly Accounts for Weather Data
2020 · 32 citations
Dynamic demand estimation on large scale networks using Principal Component Analysis: The case of non-existent or irrelevant historical estimates
2022 · 29 citations
Two-Step Approach for Correction of Seed Matrix in Dynamic Demand Estimation
2014 · 29 citations
Works
25 shown
Activity-based user equilibrium considering aggregated traffic dynamics emulated using the Macroscopic Fundamental Diagram
Transportation Research Part C Emerging Technologies
·
2025
·
5 authors
·
Open access
12
citations
Machine learning for activity pattern detection
Journal of Intelligent Transportation Systems
·
2022
·
3 authors
·
Open access
12
citations
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
·
4 authors
·
Open access
29
citations
Data to the people: a review of public and proprietary data for transport models
Transport Reviews
·
2021
·
6 authors
·
Open access
33
citations
Machine Learning from imbalanced data-sets: an application to the bike-sharing inventory problem
International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS)
·
2021
·
3 authors
·
other
5
citations
A Gaussian sampling heuristic estimation model for developing synthetic trip sets
Computer-Aided Civil and Infrastructure Engineering
·
2021
·
4 authors
·
Open access
8
citations
Explaining demand patterns during COVID-19 using opportunistic data: a case study of the city of Munich
European Transport Research Review
·
2021
·
3 authors
·
Open access
34
citations
A Big Data Demand Estimation Model for Urban Congested Networks
Transport and Telecommunication Journal
·
2020
·
2 authors
·
Open access
9
citations
Low-Dimensional Model for Bike-Sharing Demand Forecasting that Explicitly Accounts for Weather Data
Transportation Research Record Journal of the Transportation Research Board
·
2020
·
3 authors
·
Open access
32
citations
Inferring Urban Mobility and Habits from User Location History
Transportation research procedia
·
2020
·
5 authors
·
Open access
8
citations
Incorporating trip chaining within online demand estimation
Transportation Research Part B Methodological
·
2019
·
5 authors
·
Open access
15
citations
Crowdsensed Data Learning-Driven Prediction of Local Businesses Attractiveness in Smart Cities
IEEE Symposium on Computers and Communications (ISCC)
·
2019
·
7 authors
·
other
·
Open access
14
citations
A low dimensional model for bike sharing demand forecasting
International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS)
·
2019
·
3 authors
·
other
·
Open access
12
citations
Leveraging GIS Data and Topological Information to Infer Trip Chaining Behaviour at Macroscopic Level
International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS)
·
2019
·
4 authors
·
other
8
citations
Using Passive Data Collection Methods to Learn Complex Mobility Patterns: An Exploratory Analysis
IEEE International Conference on Intelligent Transportation Systems (ITSC)
·
2018
·
4 authors
·
other
5
citations
Incorporating activity duration and scheduling utility into equilibrium-based Dynamic Traffic Assignment
Transportation Research Part B Methodological
·
2018
·
2 authors
19
citations
A utility-based dynamic demand estimation model that explicitly accounts for activity scheduling and duration
Transportation Research Part A Policy and Practice
·
2018
·
4 authors
·
Open access
12
citations
A Utility-based Dynamic Demand Estimation Model that Explicitly Accounts for Activity Scheduling and Duration.
Transportation research procedia
·
2017
·
4 authors
·
Open access
15
citations
Generating macroscopic, purpose-dependent trips through Monte Carlo sampling techniques
Transportation research procedia
·
2017
·
3 authors
·
Open access
8
citations
A Two-Steps Dynamic Demand Estimation Approach Sequentially Adjusting Generations and Distributions
IEEE International Conference on Intelligent Transportation Systems (ITSC)
·
2015
·
4 authors
·
other
·
Open access
16
citations
The Impact of Route Choice Modeling on Dynamic OD Estimation
IEEE International Conference on Intelligent Transportation Systems (ITSC)
·
2015
·
5 authors
·
other
·
Open access
10
citations
A Markov chain dynamic model for trip generation and distribution based on CDR
International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS)
·
2015
·
3 authors
·
other
13
citations
Assessing the consistency between observed and modelled route choices through GPS data
International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS)
·
2015
·
4 authors
·
other
·
Open access
9
citations
IMPROVING THE RELIABILITY OF A TWO-STEPS DYNAMIC DEMAND ESTIMATION APPROACH BY SEQUENTIALLY ADJUSTING GENERATIONS AND DISTRIBUTIONS
Open Repository and Bibliography (University of Luxembourg)
·
2015
·
4 authors
·
other
·
Open access
9
citations
Two-Step Approach for Correction of Seed Matrix in Dynamic Demand Estimation
Transportation Research Record Journal of the Transportation Research Board
·
2014
·
5 authors
·
Open access
29
citations