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Razzi, F. (author), Dijkstra, Jouke (author), Hoogendoorn, Ayla (author), Witberg, Karen (author), Ligthart, Jurgen (author), van Esch, J.H. (author), van Steijn, V. (author), van Soest, Gijs (author), Regar, Evelyn (author)
Safety and efficacy of coronary drug-eluting stents (DES) are often preclinically tested using healthy or minimally diseased swine. These generally show significant fibrotic neointima at follow-up, while in patients, incomplete healing is often observed. The aim of this study was to investigate neointima responses to DES in swine with...
journal article 2023
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Geržinič, N. (author), Cats, O. (author), van Oort, N. (author), Hoogendoorn-Lanser, S. (author), Bierlaire, Michel (author), Hoogendoorn, S.P. (author)
Understanding user's perception of service variability is essential to discern their overall perception of any type of (transport) service. We study the perception of waiting time variability for ride-hailing services. We carried out a stated preference survey in August 2021, yielding 936 valid responses. The respondents were faced with...
journal article 2023
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Montes, Alejandro (author), Geržinič, N. (author), Veeneman, Wijnand (author), van Oort, N. (author), Hoogendoorn, S.P. (author)
This paper uses stated preference data collected in the city of Rotterdam and discrete choice modelling techniques to study the relationship between public transport and shared micromobility. It assumes a hypothetical condition of integrated systems and studies the relationships of complement and competition between these modes. The findings...
journal article 2023
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Brederode, L.J.N. (author), Gerards, Lotte (author), Wismans, Luc (author), Pel, A.J. (author), Hoogendoorn, S.P. (author)
To improve the accuracy of large-scale strategic transport models in congested conditions, this paper presents a straightforward extension of a static capacity-constrained traffic assignment model into a semi-dynamic version. The semi-dynamic model is more accurate than its static counterpart as it relaxes the empty network assumption, but,...
journal article 2023
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Reggiani, G. (author), Verma, T. (author), Daamen, W. (author), Hoogendoorn, S.P. (author)
Bicycle networks are made up of different types of infrastructure for cars, bikes and mixed use, which has resulted in various definitions being used to describe them. However, it’s crucial to bring these definitions together to understand the structural differences among them and the impact of choices and investments in bike infrastructure....
journal article 2023
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de Ruijter, A.J.F. (author), Cats, O. (author), Alonso-Mora, J. (author), Hoogendoorn, S.P. (author)
Previous studies into the potential benefits of ride pooling failed to account for the trade-off that users likely make when considering a shared ride. We address this shortcoming by formulating user net benefit stemming from pooling as a compensatory function where the additional travel time and on-board discomfort need to be compensated by...
journal article 2023
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Geržinič, N. (author), Cats, O. (author), van Oort, N. (author), Hoogendoorn-Lanser, S. (author), Hoogendoorn, S.P. (author)
On-demand mobility services (FLEX) are often proposed as a solution for the first/last mile problem. We study the potential of using FLEX to improve train station access by means of a three-step sequential stated preference survey. We compare FLEX with the bicycle, car and public transport for accessing two alternative train stations. We...
journal article 2023
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Venverloo, T. (author), Duarte, Fábio (author), Benson, Tom (author), Leoni, Pietro (author), Hoogendoorn, S.P. (author), Ratti, Carlo (author)
Crime has major influences in urban life, from migration and mobility patterns, to housing prices and neighborhood liveability. However, urban crime studies still largely rely on static data reported by the various institutions and organizations dedicated to urban safety. In this paper, we demonstrate how the use of digital technologies enables...
journal article 2023
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Hoogendoorn, Rik (author)
During arrival waves at hub airports the surrounding airspaces can be congested, resulting in flight delays. To solve this congestion problem one of the current solutions is to sequence flights whilst they are still en-route by using an Extended Arrival Manager (E-AMAN). This paper aims at improving this E-AMAN concept by tackling two of its...
master thesis 2022
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Kasteel, Max (author), Hoogendoorn, Niels (author)
Flash floods are a damaging and recurring problem in Cebu city, Philippines. Very little data is known about the intensities and precipitation amounts and the resulting river discharges. This research project firstly aims to gather as much data as possible on precipitation and river discharges that could cause the floods, it focuses on a small...
student report 2022
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Torabi Kachousangi, F. (author), Araghi, Y. (author), van Oort, N. (author), Hoogendoorn, S.P. (author)
Emerging access/egress transport modes to and from railway stations may play a vital role in the future performance and usage of public transport. To learn about these modes, their acceptability, and attractiveness, we performed a case study at Delft Campus train station in the Netherlands, using a stated preference experiment. We...
journal article 2022
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Dabiri, A. (author), Hegyi, A. (author), Hoogendoorn, S.P. (author)
The literature on green mobility and eco-driving in urban areas has burgeoned in recent years, with special attention to using infrastructure to vehicle (I2V) communications to obtain optimal speed trajectory which minimize the economic and environmental costs. This article shares the concept with these studies but turns the spotlight on...
journal article 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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Feng, Y. (author), Duives, D.C. (author), Hoogendoorn, S.P. (author)
Virtual Reality (VR) provides the possibility to study pedestrian wayfinding behaviour in multi-level buildings. Although VR has been applied increasingly to study pedestrian behaviour, it has remained unclear how different VR technology would affect behavioural outcomes in a multi-level building. The study compares the adoption of different VR...
journal article 2022
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Feng, Y. (author), Duives, D.C. (author), Hoogendoorn, S.P. (author)
Although understanding wayfinding behaviour in complex buildings is important to ensure pedestrian safety, the state of the art predominantly investigated pedestrian movement in simplified environments. This paper presents a Virtual Reality tool – WayR, that is designed to investigate pedestrian wayfinding behaviour in a multi-story building...
journal article 2022
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Knoop, V.L. (author), Hoogendoorn, S.P. (author)
Traffic jams are caused by a traffic demand that exceeds road capacity. Road capacity, therefore, is an important road feature. This capacity might change as function of time, even for the same road stretch, owing to changing driving behaviors or vehicle characteristics. In this study, we empirically analyzed the changes in road capacity over a...
journal article 2022
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Taale, Henk (author), van Koningsbruggen, P. (author), Dubbeldam, Michael (author), Hoogendoorn, S.P. (author)
Kunstmatige of artificiële intelligentie, kortweg AI, speelt een steeds grotere rol in ons leven. Ook ons werkterrein verkeersmanagement kan er niet omheen: AI heeft zich al aardig weten binnen te werken in onze data-analyses en verkeerslichten. In deze bijdrage schetsen de auteurs de stand van zaken. Wat is AI? Wat kunnen we ermee? En met welke...
journal article 2022
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Romero, David W. (author), Bruintjes, R. (author), Bekkers, Erik J. (author), Tomczak, Jakub M. (author), Hoogendoorn, Mark (author), van Gemert, J.C. (author)
When designing Convolutional Neural Networks (CNNs), one must select the size of the convolutional kernels before training. Recent works show CNNs benefit from different kernel sizes at different layers, but exploring all possible combinations is unfeasible in practice. A more efficient approach is to learn the kernel size during training....
conference paper 2022
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Vial, A.A. (author), Hendeby, Gustaf (author), Daamen, W. (author), van Arem, B. (author), Hoogendoorn, S.P. (author)
The increase in perception capabilities of connected mobile sensor platforms (e.g., self-driving vehicles, drones, and robots) leads to an extensive surge of sensed features at various temporal and spatial scales. Beyond their traditional use for safe operation, available observations could enable to see how and where people move on sidewalks...
journal article 2022
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Liu, M. (author), Zhao, J. (author), Hoogendoorn, S.P. (author), Wang, M. (author)
A joint control approach that simultaneously optimizes traffic signals and trajectories of cooperative (automated) vehicle platooning at urban intersections is presented in this paper. In the proposed approach, the signal phase lengths and the accelerations of the controlled platoons are optimized to maximize comfort and minimize travel delay...
journal article 2022
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