Venue: B3.470 and MS Teams

Venue: TPM A1.370/Teams

Venue: Room-31.C1.060

Abstract
In South Korea, crashes at signals-controlled intersections are on the rise. Our attention is drawn to the safety behavior of drivers at these intersections, since many may slip into dilemma mode during yellow traffic lights. In such conditions, connected vehicle technology makes safety guidance possible. In recent studies, communication delay or loss has been tested for its effect on safety. The experimental settings, however, are not compatible with the up-to-date C-V2X technology. There has been little research on how drivers interact with the future possible communication scenarios and during critical events. To achieve a more realistic experimental setting, a co-simulation platform combining Unity and VISSIM was developed. Driving simulator experiments were conducted with 62 drivers. There are four different communication conditions including (1) no communication, (2) perfect communication with countdown-based guidance, (3) communication interruption due to poor network, and (4) communication loss due to the absence of smart infrastructure. Five signal lights were set up to be triggered into yellow at varying time points from the stop line in one trial to capture the driver's dilemma zone experience approaching an intersection. Driving performance includes average speed, maximum acceleration and deceleration. The linear regression results implied that the driving performance in different communication conditions is distinct for the choice of stop or go. Furthermore, the binary logit model with interaction effects was applied to predict driver’s stop or go behavior. The estimation results show that drivers prefer to go in communication loss condition compared to other conditions. Further, it also reveals associations between the choice of stop or go and factors on initial speed, distance to stop line, personal characteristics. The findings are expected to ensure the new CV2X technology’s evolution can meet future demand as well as better improve road safety and driving decision-making efficiency.

Keywords: Co-simulation platform; Driving simulator; Connected vehicle; Communication environment; Dilemma zone; Human-machine Interface;

Venue: TPM Hall F

Maritime transport in a changing global economy

Maritime transport is considered the backbone of international trade and the global economy. With ports supporting the integration of production centers and consumer markets across borders, there is large feedback between changes in the size and structure of the economy (e.g. trade composition, supply-chain structure) and the expected freight flows through specific ports. In this talk, I will showcase various pieces of research that have tried to capture these dependencies on a global scale. I will then discuss what kind of implications this has in a changing global economy, in particular the shift of trade flows because of decarbonization.

Venue: B1.300

Dear colleagues,

Researchers within VTI have a very diverse disciplinary background and work in different fields, yet they may have similar research questions for which they use and develop various methodologies. So, there is much we could learn from each other. The cluster is deliberately focused on methods rather than on specific content or topics, to allow for more across-section collaboration, networking, and education. If you want to learn about the wide range of methods used in the VTI department, then join the kick-off meeting for this cluster and sign-up in our Teams channel (VTI Methodologies | General | Microsoft Teams). During the kick-off meeting, we will share the results of our survey as a starting point to discuss the most common methodologies, research questions that interest us and how we may be able to conduct shared projects or other activities to use each other’s expertise on these methodologies. We will also discuss the needs and ideas of cluster members to further collaborations.

We hope to see you there!

Kind regards,
Perla J. Marang-van de Mheen and Juan M. Duran

Venue: TPM-Lecture Hall A - Henk Sol, 31.A0.800

This topic will be covered in three sessions. The first two through lectures by Prof Dr Jop Groeneweg and Prof Dr John Stoop.
The third part of the symposium will be an open discussion led by Prof Dr G Reniers in which, through empirical dialogue, differences will be pointed out and/or reduced. The end result is not fixed!

Information and registration: www.kivi.nl/afdelingen/risicobeheer-en-techniek/activiteiten/activiteit/history-of-safety-science

Venue: B1.470 / MS Teams

Venue: TPM A1.370

Venue: C1.060/hybrid

TBA

Venue: B1.470 and MS Teams

Venue: TU Delft, Faculteit Technology, Policy and Management (TPM), Hall A – Henk Sol, 31.A0.800

Ben je bezig met energie, en wil je je verdiepen in de ethiek ervan? Of ben je een filosoof en wil je meer weten over energie-ethiek?
TPM en de Vereniging voor Ethici Nederland organiseren een evenement met boeiende sprekers en een kunstworkshop waarin we samen visueel energietoekomsten bouwen!

Hoe energie wordt geproduceerd, en hoeveel, is verwikkeld met hoe onze samenleving in elkaar zit. Maar hoe willen we dat onze maatschappij eruitziet? Energietechnologie en infrastructuur zijn niet neutraal; zij worden gemaakt door mensen. Daarnaast kunnen energiesystemen ongewenste en onrechtvaardige gevolgen hebben. Daarom is het essentieel om de energietransitie niet alleen te bekijken vanuit economisch, politiek en technisch perspectief, maar ook vanuit ethisch oogpunt.

Met deze geweldige sprekers:
Sophie Kwizera komt spreken over waterstof en Zuid-Afrika;
Arianne J. van der Wal weet alles over energiearmoede;
Behnam Taebi is expert over nucleaire energie en ethiek;
Aafke Fraaije zorgt voor een inspirerende collaboratieve kunstworkshop;
Maria Kaufmann reflecteert op onze ideeën over de toekomst.

Venue: TPM A1.370/Teams

Can we praise AI for novel outputs?

There is a growing number of examples of artists training neural networks and integrating artificial intelligence into their creative processes. While the artist's role generally remains central, the rapid development of AI raises compelling questions: Could a neural network ever be recognized as the author of an artwork? Can AI be attributed intellectual merit for novel outcomes? These questions point to a deeper philosophical issue: under what conditions, if any, can AI be held intellectually responsible for novel outcomes? To address this, I propose to draw a parallel with spontaneous creative thinking, a mental process which typically leads to the appearance of unexpected insights. Both spontaneous creative thinking and AI-driven processes share key similarities—specifically, their unpredictability and the lack of direct control during their unfolding. In my previous work, I argued that what motivates the correct attribution of intellectual responsibility to an agent for the outcome of creative thinking is that the production of these new ideas is biased by the agent’s knowledge and experiences. I suggest a similar approach for AI, particularly for systems that involve trained neural networks. By examining how biases in a neural network are established, I argue that we can better understand the conditions under which, if ever, AI might be held intellectually responsible for its outputs