Searched for: subject%3A%22data%255C+collection%22
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Ton, D. (author), De Bruyn, Menno (author), Van Hagen, Mark (author), Duives, D.C. (author), van Oort, N. (author)
Mobility patterns and transport systems have been heavily impacted due to the COVID-19 pandemic. Public transport is impacted heavily, as governments worldwide advised against using it. This paper presents the data collection effort initiated by NS (Dutch Railways) and Delft University of Technology to capture changes in travel behavior,...
journal article 2024
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Thonemann, Nils (author), Saavedra-Rubio, Karen (author), Pierrat, Eleonore (author), Dudka, Katarzyna (author), Bangoura, Mathilde (author), Baumann, Nils (author), Bentheimer, Christian (author), Caliandro, Priscilla (author), De Breuker, R. (author)
Hybrid-electric aircraft represent a promising solution for the urgent need to decarbonize short-haul flights and bolster aviation sustainability. Nevertheless, the realization of hybrid-electric aircraft demands rigorous environmental impact analysis, given the substantial investments, time, and research required for technology development....
journal article 2024
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De Haas, Mathijs (author), Ecke, Lisa (author), Chlond, Bastian (author), Hoogendoorn-Lanser, S. (author), Vortisch, Peter (author)
Longitudinal travel surveys are needed to capture individual travel behaviour changes. Only two longitudinal tavel surveys of national relevance are currently in operation, the German Mobility Panel (MOP) since 1994 and the Netherlands Mobility Panel (MPN) since 2013. This paper provides an overview of both panels' differences and...
journal article 2024
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Röggla, Thomas (author), Shamma, David A. (author), Williamson, Julie R. (author), Viola, Irene (author), Rossi, Silvia (author), Cesar, Pablo (author)
In recent years, a large variety of online communication tools have emerged, including social Virtual Reality (VR) platforms for interacting in a virtual world with participants being represented as virtual avatars. Given their popularity, an active area of research focuses on improving the user experience in these virtual experiences. To...
conference paper 2024
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Sav, Andra (author)
Machine Learning models are nowadays infused into all aspects of our lives. Perhaps one of its most common applications regards recommender systems, as they facilitate users' decision-making processes in various scenarios (e.g., e-commerce, social media, news, online learning, etc.). Training performed on large volumes of data is what ultimately...
bachelor thesis 2023
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Sav, Andra Georgiana (author), Demetriou, A.M. (author), Liem, C.C.S. (author)
Machine Learning (ML) models influence all aspects of our lives. They also commonly are integrated in recommender systems, which facilitate users’ decision-making processes in various scenarios, such as e-commerce, social media, news and online learning. Training performed on large volumes of data is what ultimately drives such systems to...
journal article 2023
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Thierry, Martijn (author), Vet, Jasper (author), Uddin, Kazi Burhan (author), Wegman, F.C.M. (author)
The lack of good road crash data is a serious obstacle to analysing road safety problems in Low-and Middle-Income countries (LMICs) and this complicates, for example, the sound assessment of road safety interventions. Police crash reports are the main source of crash data, but often have significant limitations. This paper describes a...
journal article 2023
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Feng, Y. (author)
This dissertation is focused on using Virtual Reality to study pedestrian wayfinding behaviour in buildings during both normal and emergency situations, from simple scenarios to complex scenarios. In particular, various empirical datasets featuring pedestrian wayfinding and evacuation behaviour were collected using different VR technologies to...
doctoral thesis 2022
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Reggiani, G. (author), Salomons, A.M. (author), Sterk, M.A.H. (author), O'Hern, Steve (author), Daamen, W. (author), Yuan, Y. (author), Hoogendoorn, S.P. (author)
Similarly to Maslow’s pyramid of human needs, we theorize that cities have a pyramid of bicycle network needs that depends on their level of bicycle culture. As an increasing number of data sources emerge for bicycle data collection, transport authorities face the challenge of understanding how to use the data and which data sources are fit for...
journal article 2022
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Ottun, Abdul Rasheed (author), Mane, Pramod C. (author), Yin, Zhigang (author), Paul, Souvik (author), Liyanage, Mohan (author), Pridmore, Jason (author), Ding, Aaron Yi (author), Sharma, Rajesh (author), Nurmi, Petteri (author), Flores, Huber (author)
Federated learning (FL) is a promising privacy-preserving solution to build powerful AI models. In many FL scenarios, such as healthcare or smart city monitoring, the user's devices may lack the required capabilities to collect suitable data, which limits their contributions to the global model. We contribute social-aware federated learning...
journal article 2022
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Arbabi, Mohammad Salar (author), Lal, C. (author), Veeraragavan, Narasimha Raghavan (author), Marijan, Dusica (author), Nygard, Jan F. (author), Vitenberg, Roman (author)
Continuously generated volumes of health data make healthcare a data-intensive domain. This data needs to be collected, stored, and shared among different healthcare actors for various purposes, such as reporting, analysis, collaborative research, and personalized healthcare services. However, the existing data storage and exchange solutions...
journal article 2022
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Whitworth, Michael R. Z. (author), Giardina, Giorgia (author), Penney, Camilla (author), Di Sarno, Luigi (author), Adams, Keith (author), Kijewski-Correa, Tracy (author), Black, Jacob (author), Foroughnia, Fatemeh (author), Macchiarulo, V. (author)
On 14th August 2021, a magnitude 7.2 earthquake struck the Tiburon Peninsula in the Caribbean nation of Haiti, approximately 150 km west of the capital Port-au-Prince. Aftershocks up to moment magnitude 5.7 followed and over 1,000 landslides were triggered. These events led to over 2,000 fatalities, 15,000 injuries and more than 137,000...
journal article 2022
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Gavriilidou, A. (author)
As the title suggests, cyclists are the main topic of this dissertation<br/>and more specifically, their behaviour while they are ‘in motion’. The<br/>term ‘in motion’ is used in the title to represent microscopic operational<br/>cycling behaviour, which is the behaviour of cyclists, treated as individuals<br/>(microscopic level), while they are...
doctoral thesis 2021
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Schellart, Alma N.A. (author), Blumensaat, Frank (author), Clemens, F.H.L.R. (author), van der Werf, Job (author), Mohtar, Wan Hanna Melina Wan (author), Ramly, Salwa (author), Muhammad, Nur (author), Bonneau, Jérémie (author), Fletcher, Tim D. (author)
Data collection in urban drainage systems comes with many challenges. However, many examples already exist, containing numerous useful lessons learned. This chapter therefore contains several urban drainage and stormwater management metrology case studies, selected to cover a wide range of scopes, scales, objectives, climates, data validation...
book chapter 2021
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Feng, Y. (author), Duives, D.C. (author), Daamen, W. (author), Hoogendoorn, S.P. (author)
Collecting pedestrian behaviour data is vital to understand pedestrian behaviour. This systematic review of 145 studies aims to determine the capability of contemporary data collection methods in collecting different pedestrian behavioural data, identify research gaps and discuss the possibilities of using new technologies to study pedestrian...
review 2021
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book 2021
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van Nes, A. (author), Yamu, Claudia (author)
In previous chapters, we demonstrated various analytic techniques focusing on the spatial aspects of the built environment. In this chapter, we discuss various methods and techniques for collecting qualitative and quantitative data dealing with human behaviour and how to connect such data to the results from various space syntax analyses. This...
book chapter 2021
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Kam, Berend (author)
Data collection and annotation have proven to be a bottleneck for computer vision applications. When faced with the task of data creation, alternative methods to traditional data collection should be considered, as time and cost may be reduced signif- icantly. We introduce three novel datasets for multi- label classification purposes on LEGO...
bachelor thesis 2020
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Willemsen, Maurice (author)
We consider a system of IoT nodes powered completely by energy harvesting.This work focuses on achieving the time correlation of data measurements ina network of energy harvesting sensor nodes. Time correlation is achieved byhopping a message through the whole network. This message wakes up all thenodes and lets them perform a measurement....
master thesis 2020
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Kourounioti, I. (author), Tavasszy, Lorant (author)
The development of new more efficient freight transportation services requires in depth understanding of the engaged stakeholders behavior. Simulation Games (SG) have been used to study decisions and raise awareness over complex transport problems. This paper investigates the possibility of applying a simulation game as an innovative data...
conference paper 2020
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