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Brederode, L.J.N. (author)
Strategic traffic assignment (TA) models assess long-term effects of policies on route choices of travelers. To meet stability requirements, current strategic TA models lack modelling of queues. This thesis develops two TA models that include queue modelling whilst satisfying stability requirements along with a method to fuse observed link flows...
doctoral thesis 2023
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Vernaillen, T. (author), Wang, L. (author), Nunez, Alfredo (author), Dollevoet, R.P.B.J. (author), Li, Z. (author)
This paper presents a big data-based analysis of the rail wear of the whole Belgian railway network measured in 2012 and 2019. Wear rates are reported, discussed, and quantitatively formulated as functions of critical factors in terms of curve radius, annual tonnage (rail age), high rail in curves, an average from both rails in straight...
journal article 2023
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Cromjongh, Casper (author), Tian, Y. (author), Hofstee, H.P. (author), Al-Ars, Z. (author)
In spite of progress on hardware design languages, the design of high-performance hardware accelerators forces many design decisions specializing the interfaces of these accelerators in ways that complicate the understanding of the design and hinder modularity and collaboration. In response to this challenge, Tydi is presented as an open...
conference paper 2023
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Mrozek, Michal (author), Sirenko, M. (author), Foks-Ryznar, Anna (author), Sawicki, Bartosz (author)
The paper presents a web-based system designed to visualize a simulation of ca. 500,000 residents of a city during the COVID-19 outbreak. Each agent's infection status and mobility are presented in the time scale. The main effort was to ensure simplicity from the user's perspective and smooth operation on various client devices. The full range...
conference paper 2022
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Simonofski, Anthony (author), Tombal, Thomas (author), De Terwangne, Cécile (author), Willem, Pauline (author), Frenay, Benoît (author), Janssen, M.F.W.H.A. (author)
Fraud analytics refers to the use of advanced analytics (data mining, big data analysis, or artificial intelligence) to detect fraud. While fraud analytics offers the promise of more efficiency in fighting fraud, it also raises legal challenges related to data protection and administrative law. These legal requirements are well documented but...
journal article 2022
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Cheng, Long (author), Wang, Ying (author), Liu, Qingzhi (author), Epema, D.H.J. (author), Liu, Cheng (author), Mao, Ying (author), Murphy, John (author)
Large data centers are currently the mainstream infrastructures for big data processing. As one of the most fundamental tasks in these environments, the efficient execution of distributed data operators (e.g., join and aggregation) are still challenging current data systems, and one of the key performance issues is network communication time....
journal article 2021
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Hoozemans, J.J. (author), Tervo, Kati (author), Jaaskelainen, Pekka (author), Al-Ars, Z. (author)
Many applications make extensive use of various forms of compression techniques for storing and communicating data. As decompression is highly regular and repetitive, it is a suitable candidate for acceleration. Examples are offloading (de)compression to a dedicated circuit on a heterogeneous System-on-Chip, or attaching FPGAs or ASICs...
conference paper 2021
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Krishnakumari, P.K. (author)
Cities are complex, dynamic and ever-evolving. We need to understand how these cities work in order to predict, control or optimize their operations. We have identified some open issues related to network and data complexity that need to be solved to build feasible methods for these purposes. To this end, we first build multiscale graphs...
doctoral thesis 2020
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Taylor, Linnet (author), Meissner, F.V.M. (author)
Crisis narratives surrounding Europe’s 2015 migration influx fuelled demands for new ways of tracking, mapping and predicting human mobility. We explore how market opportunities for technology firms and data analytics start‐ups created by the EU’s Global Approach to Migration led to solutionistic approaches to compiling and analysing migration...
journal article 2020
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Zheng, Feifei (author), Tao, Ruoling (author), Maier, Holger R. (author), See, Linda (author), Savic, Dragan (author), Zhang, Tuqiao (author), Chen, Qiuwen (author), Assumpção, Thaine H. (author), Solomatine, D.P. (author)
Data are essential in all areas of geophysics. They are used to better understand and manage systems, either directly or via models. Given the complexity and spatiotemporal variability of geophysical systems (e.g., precipitation), a lack of sufficient data is a perennial problem, which is exacerbated by various drivers, such as climate change...
review 2019
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Ersoy, A. (author), Chaves Alberto, Klaus (author)
One major impact of the global economic crisis is the way it has deepened inequalities around the world. Infrastructure remains essential within this debate as it provides wider health, economic and environmental benefits for society beyond the conventional calculations of cash returns. With the potential exploration of big data, cities now face...
journal article 2019
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Rehena, Z. (author), Janssen, M.F.W.H.A. (author)
In the last few years, the smart city concept resulted in the development and deployment of platforms for providing innovative services to improve sustainability and the living standards. These platforms integrate data collected from devices and citizen-generated data and thereafter employ big data analytics to create insights from the data....
conference paper 2018
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van der Vliet, J.P. (author), Pel, A.J. (author), van Lint, J.W.C. (author)
Current procedure in travel demand estimation models is to separately deal with attraction, production and trip distribution, where the latter typically assumes inverse distance proportionality. We show that this procedure leads to errors in the demand estimation, particularly when dealing with very specific zones and heterogeneous travel...
conference paper 2017
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Susha, Iryna (author), Janssen, M.F.W.H.A. (author), Verhulst, Stefaan (author)
Data collaboratives present a new form of cross-sector and public-private partnership to leverage (often corporate) data for addressing a societal challenge. They can be seen as the latest attempt to make data accessible to solve public problems. Although an increasing number of initiatives can be found, there is hardly any analysis of these...
conference paper 2017
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Cheng, Long (author), Wang, Ying (author), Pei, Yulong (author), Epema, D.H.J. (author)
Efficient execution of distributed database operators such as joining and aggregating is critical for the performance of big data analytics. With the increase of the compute speedup of modern CPUs, reducing the network<br/>communication time of these operators in large systems is becoming increasingly important, and also challenging current...
conference paper 2017
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Haryadi, Adiska Fardani (author), Hulstijn, Joris (author), Wahyudi, A. (author), van der Voort, H.G. (author), Janssen, M.F.W.H.A. (author)
Big data has been acknowledged for its enormous potential. In contrast to the potential, in a recent survey more than half of financial service organizations reported that big data has not delivered the expected value. One of the main reasons for this is related to data quality. The objective of this research is to identify the antecedents of...
conference paper 2017
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van den Brom, P.I. (author), Meijer, A. (author), Visscher, H.J. (author)
The difference between actual and calculated energy is called the ‘energy-performance gap’. Possible explanations for this gap are construction mistakes, improper adjusting of equipment, excessive simplification in simulation models and occupant behaviour. Many researchers and governmental institutions think the occupant is the main cause of...
journal article 2017
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Janssen, M.F.W.H.A. (author), Kuk, G. (author)
The value of data as a new economic asset class is seldom realized on its own. With less reliance on self-administered survey, it offers new insights into behaviors and patterns. Yet it is a huge undertaking of bringing together multiple actors from different disciplines and diverse practices to examine the underexplored relationships between...
journal article 2016
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Sun, Junzi (author), Ellerbroek, Joost (author), Hoekstra, J.M. (author)
With the increasing availability of ADS-B transponders on commercial aircraft, as well as the rapidly growing deployment of ground stations that provide public access to their data, accessing open aircraft flight data is becoming easier for researchers. Given the large number of operational aircraft, significant amounts of flight data can be...
conference paper 2016
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Susha, I (author), Janssen, M.F.W.H.A. (author), Grönlund, A (author), Tambouris, E (author)
There is much potential for open and big data to be used for addressing societal challenges of today. This drives a new kind of partnership called “data collaborative” emphasizing the value of data for public good. Data collaboratives stand for cross-sector partnerships, whereby organizations in the private or public sector disclose their data,...
conference paper 2016
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