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Tabone, W. (author)
This thesis explores how automated vehicles will interact with pedestrians in the urban environment through augmented reality technology. Nine distinct AR interfaces were designed, developed, and evaluated to assess how different design elements (symbols, text, colour) and distinct mappings of the AR (on the road, on the vehicle, or head-locked)...
doctoral thesis 2024
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Conceição, Lígia (author), Correia, Gonçalo (author), van Arem, B. (author), Tavares, José Pedro (author)
Once trusted, automated vehicles (AVs) will gradually appear in urban areas. Such a transition is an opportunity in transport planning to control undesired impacts and possibly mitigate congestion at a time when both conventional vehicles (CVs) and AVs coexist. This paper deals with the complex transport decision problem of designing part of the...
journal article 2024
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Peng, Chen (author), Öztürk, İbrahim (author), Nordhoff, S. (author), Madigan, Ruth (author), Hoogendoorn-Lanser, S. (author), Hagenzieker, Marjan (author), Merat, Natasha (author)
As the introduction of automated vehicles (AVs) into road traffic accelerates, establishing user acceptance is increasingly crucial. User comfort, largely influenced by the AVs' driving styles, is one of the essential factors influencing acceptance. This video submission provides a methodological overview of a qualitative interview study,...
conference paper 2023
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Messiou, C. (author), Papaioannou, G. (author), Happee, R. (author)
The goal of this paper is to contribute to the accurate prediction of human body motion by proposing a novel head-neck model for dynamic driving scenarios with complex vehicle motions. While automated vehicles are considered a potential solution to several transportation issues, there are still significant challenges that need to be addressed...
conference paper 2023
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Irmak, T. (author)
By 2050 a large proportion of the cars on our roads will be self-driving and completely automated. We will no longer be driving these vehicles, but will be transported comfortably as passengers. We will be able to indulge in all sorts of media items in our vehicles, do work, or even just relax and sleep. Indeed, these fully automated vehicles...
doctoral thesis 2022
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Reijne, M.M. (author), Dehkordi, Sepehr G. (author), Glaser, Sebastien (author), Twisk, D (author), Schwab, A.L. (author)
Falls are responsible for a large proportion of serious injuries and deaths among cyclists [1-4]. A common fall scenario is loss of balance during an emergency braking maneuver to avoid another vehicle [5-7]. Automated Vehicles (AV) have the potential to prevent these critical scenarios between bicycle and cars. However, current Threat...
conference paper 2022
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Dressel, A. (author), Moore, J.K. (author)
The potential advantages of tilting trikes have been tantalizing for years: they can lean like a bike so that they do not have to be low, wide, or slow in turns; and they can keep the rider upright like a trike when stopped or going slow. Implementing this functionality, however, has been somewhat problematic. Many tilting trikes have been built...
conference paper 2022
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Fan, Q. (author), van Essen, J.T. (author), Correia, Gonçalo (author)
The era of intelligent transportation with automated vehicles (AVs) is coming. Nonetheless, the transition to this system will be a gradual process. On the one hand, some zones in the city may be dedicated to AVs with a fully intelligent traffic management system geared toward high performance. On the other hand, automated and conventional...
journal article 2022
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Tabone, W. (author)
This project aims to explore whether augmented reality (AR) technology is suitable for communication between automated/autonomous vehicles (AVs) and vulnerable road users (VRUs). The issues of preferred design, interpretability, comparison to current communication strategies, and trust are or will be explored.
poster 2021
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van den Haak, Daniel (author)
Lane change decision-making is an important challenge for automated vehicles, urging the need for high performance algorithms that are able to handle complex traffic situations. Deep reinforcement learning (DRL), a machine learning method based on artificial neural networks, has recently become a popular choice for modelling the lane change...
master thesis 2021
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Tafidis, Pavlos (author), Farah, H. (author), Brijs, Tom (author), Pirdavani, Ali (author)
Automated vehicles (AVs) promise to improve road safety, reduce traffic congestion and emissions, and enhance mobility. However, evidence regarding their safety benefits has not been systematically investigated and documented. In this study, we utilise a scoping review approach to investigate and synthesise the existing literature on higher...
journal article 2021
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Conceição, Lígia (author), Correia, Gonçalo (author), Tavares, José Pedro (author)
AV subnetworks is a way to deal with automated traffic and its technological need that will likely increase during the AVs deployment period. This strategy carries many benefits, yet some inconveniences are worth to mention. One of them relies on the fact that the design of AV subnetworks is often in practice focused on mitigating congestion...
journal article 2021
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Liu, Di (author), Baldi, S. (author), Jain, V. (author), Yu, Wenwu (author), Frasca, Paolo (author)
Recently proposed adaptive platooning strategies for connected automated vehicles are able to cope with uncertain vehicle parameters (uncertain driveline time constants), but can handle only acyclic graphs like look-ahead graphs. This prevents from enhancing platooning protocols with synchronized merging maneuvers, where cyclic communication...
journal article 2021
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Leffler, David (author), Burghout, Wilco (author), Cats, O. (author), Jenelius, Erik (author)
This paper presents a comparative analysis of demand-responsive and fixed-schedule, fixed route operations for a simplified station-based feeder to mass transit scenario. Traffic dynamics, demand-responsive fleet coordination, and the behaviour of individual transit users are represented using a public transit simulation framework. Each...
journal article 2020
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Legêne, Martijn F. (author), Auping, Willem L. (author), Correia, Gonçalo (author), van Arem, B. (author)
Urban form develops in close feedback with different modes of transportation. The introduction and adoption of automated vehicles (AVs) are expected to have an impact on the development of cities as well, as the use of AVs may, for example, lead to more efficient road use and less need for parking spaces. In order to study those impacts, we...
journal article 2020
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Matthijssen, Arwen (author)
The transition towards fully Automated Vehicles (AV) can lead to inefficient use of the available infrastructure in the Netherlands, while space is already scarce. - Knowledge from AV impact studies can help the government in the management of available infrastructure. Therefore, in this research a systematic literature review was carried out in...
master thesis 2018
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Rodríguez Palmeiro, A. (author), van der Kint, Sander (author), Hagenzieker, Marjan (author), de Winter, J.C.F. (author)
In the future, cyclists will be sharing the roads with automated and traditional vehicles [1]. Interactions between cyclists and automated vehicles (AVs) may differ from interactions with traditional vehicles, because cyclists may hold incorrect expectations about how AVs will react to their presence, leading to confusing and risky situations....
conference paper 2018
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Rodríguez Cabezas, P.K. (author)
Current research on automated vehicles focuses mainly on the drivers of automated vehicles, on its potential to improve the efficiency of traffic operations, safety, congestion and societal benefits, public’s acceptance of automated vehicles as a transport system and the willingness to buy automated vehicles. Nevertheless, there is a research...
master thesis 2017
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Milakis, D. (author), Snelder, M. (author), Van Arem, B. (author), Van Wee, G.P. (author), Homem De Almeida Rodriguez Correia, G. (author)
Automated driving technology is emerging. Yet, less is known about when automated vehicles will hit the market, how penetration rates will evolve and to what extent this new transportation technology will affect transportation demand and planning. This study identified through scenario analysis plausible future development paths of automated...
conference paper 2016
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Scheltes, A.F. (author)
The last mile in a public transport trip appears to be one of the main deterrents in public transport to be competitive with other modes of transport. The reason for this bad performance of the last mile can be related to the slow and inflexible character of the last mile. Where PRT systems aspire to deliver an on demand, direct service to a...
master thesis 2015
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