380.256 PEOPLE
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Seuring, Stefan |
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Nor Azizi, S. |
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Pato, Margarida Vaz |
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Kölker, Katrin |
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Huber, Oliver |
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Király, Tamás |
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Spengler, Thomas Stefan |
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Al-Ammar, Essam A. |
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Dargahi, Fatemeh |
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Mota, Rui |
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Mazalan, Nurul Aliah Amirah |
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Macharis, Cathy | Brussels |
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Arunasari, Yova Tri |
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Nunez, Alfredo | Delft |
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Bouhorma, Mohammed |
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Bonato, Matteo |
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Fitriani, Ira |
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Autor Correspondente Coelho, Sílvia. |
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Pond, Stephen |
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Okwara, Ukoha Kalu |
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Toufigh, Vahid |
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Campisi, Tiziana | Enna |
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Ermolieva, Tatiana |
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Sánchez-Cambronero, Santos |
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Agzamov, Akhror |
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Cantelmo, Guido
Technical University of Denmark
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (35/35 displayed)
- 2023Machine learning for activity pattern detectioncitations
- 2023Car-sharing subscription preferences and the role of incentives: The case of Copenhagen, Munich, and Tel Aviv-Yafocitations
- 2023Learning from Imbalanced Datasets: The Bike-Sharing Inventory Problem Using Sparse Information
- 2023Predicting network flows from speeds using open data and transfer learningcitations
- 2023Car-Sharing Subscription Preferences and the Role of Incentives:The Case of Copenhagen, Munich, and Tel Aviv-Yafocitations
- 2022Data to the people:a review of public and proprietary data for transport modelscitations
- 2022Car-Sharing Subscription Preferences::The Case of Copenhagen, Munich, and Tel Aviv-Yafo
- 2022Dynamic demand estimation on large scale networks using Principal Component Analysis: The case of non-existent or irrelevant historical estimatescitations
- 2022Aligning users’ and stakeholders’ needscitations
- 2022Car-Sharing Subscription Preferences: The Case of Copenhagen, Munich, and Tel Aviv-Yafo
- 2022Car-Sharing Subscription Preferences:
- 2022Data to the people: a review of public and proprietary data for transport modelscitations
- 2021Explaining demand patterns during COVID-19 using opportunistic data: a case study of the city of Munichcitations
- 2021Share More: Shared MObility REwards - Summary report
- 2020Incorporating trip chaining within online demand estimationcitations
- 2019Leveraging gis data and topological information to infer trip chaining behaviour at macroscopic levelcitations
- 2019Incorporating activity duration and scheduling utility into equilibrium-based Dynamic Traffic Assignmentcitations
- 2019The impact of human mobility on edge data center deployment in urban environmentscitations
- 2019A big data demand estimation framework for multimodal modelling of urban congested networks
- 2019A Markov Chain Monte Carlo Approach for Estimating Daily Activity Patterns
- 2019Crowdsensed Data Learning-Driven Prediction of Local Businesses Attractiveness in Smart Citiescitations
- 2018Using Passive Data Collection Methods to Learn Complex Mobility Patterns: An Exploratory Analysiscitations
- 2018Demo: MAMBA: A platform for personalised multimodal trip planningcitations
- 2018Incorporating trip chaining within online demand estimationcitations
- 2018Dynamic Origin-Destination Matrix Estimation with Interacting Demand Patterns
- 2018A utility-based dynamic demand estimation model that explicitly accounts for activity scheduling and durationcitations
- 2017Demo: MAMBA: A Platform for Personalised Multimodal Trip Planning
- 2017A Utility-based Dynamic Demand Estimation Model that Explicitly Accounts for Activity Scheduling and Durationcitations
- 2017Effectiveness of the two-step dynamic demand estimation model on large networkscitations
- 2016A network-wide assessment of local signal control policies' performance in practical implementationscitations
- 2015Assessing the consistency between observed and modelled route choices through GPS datacitations
- 2015A Markov chain dynamic model for trip generation and distribution based on CDRcitations
- 2015The Impact of Route Choice Modeling on Dynamic OD Estimationcitations
- 2014Two-step approach for correction of seed matrix in dynamic demand estimationcitations
- 2014An adaptive Bi-level gradient procedure for the estimation of dynamic traffic demandcitations
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