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Siebinga, O. (author), Zgonnikov, A. (author), Abbink, D.A. (author)
Traffic interactions between merging and highway vehicles are a major topic of research, yielding many empirical studies and models of driver behaviour. Most of these studies on merging use naturalistic data. Although this provides insight into human gap acceptance and traffic flow effects, it obscures the operational inputs of interacting...
journal article 2024
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Koerten, K.O. (author), Abbink, D.A. (author), Zgonnikov, A. (author)
Traffic jams occurring on highways cause increased travel time as well as increased fuel consumption and collisions. So-called phantom traffic jams are traffic jams that do not have a clear cause, such as a merging on-ramp or an accident. Phantom traffic jams make up 50% of all traffic jams and result from instabilities in the traffic flow...
journal article 2024
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Mahajan, N. (author), Hegyi, A. (author), Hoogendoorn, S.P. (author), van Arem, B. (author)
Drivers initiate a discretionary lane change when they perceive an anticipated improvement in their own driving condition from moving to another lane. However, such a lane change can slow down other vehicles on the target lane, and even worse initiate a disturbance. In this work, we argue that the blocking effect triggered by individual lane...
journal article 2024
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Zhao, Lin (author), Nybacka, Mikael (author), Rothhamel, Malte (author), Habibovic, Azra (author), Papaioannou, G. (author), Drugge, Lars (author)
Remote driving plays an essential role in coordinating automated vehicles in some challenging situations. Due to the changed driving environment, the experiences and behaviors of remote drivers would undergo some changes compared to conventional drivers. To study this, a continuous real-life and remote driving experiment is conducted under...
journal article 2024
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de Winkel, K.N. (author), Irmak, T. (author), Happee, R. (author), Shyrokau, B. (author)
A prime concern for automated vehicles is motion comfort, as an uncomfortable ride may reduce acceptance of the technology amongst the general population. However, it is not clear how transient motions typical for travelling by car affect the experience of comfort. Here, we determine the relation between properties of vehicle motions (i.e.,...
journal article 2023
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Wang, Yixia (author), Lin, Shu (author), Wang, Yibing (author), De Schutter, B.H.K. (author), Xu, Jungang (author)
Currently, with the development of driving technologies, driverless vehicles gradually are becoming more and more available. Therefore, there would be a long period of time during which self-driving vehicles and human-driven vehicles coexist. However, for a mixed platoon, it is hard to control the formation due to the existence of the manual...
journal article 2023
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Evans, Barry (author), Lam, Arthur (author), West, Charles (author), Ahmadian, Reza (author), Djordjević, Slobodan (author), Chen, Albert (author), Pregnolato, M. (author)
With the increase of the frequency and severity of flooding events, coupled with population growth, the risks posed to people from flooding is ever more apparent. This paper proposes a methodology to examine the risks posed to vehicles' occupants and pedestrians simultaneously in an urban context. Through considering stability functions of a...
journal article 2023
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Katare, D. (author), Perino, Diego (author), Nurmi, Jari (author), Warnier, Martijn (author), Janssen, M.F.W.H.A. (author), Ding, Aaron Yi (author)
Autonomous driving services depends on active sensing from modules such as camera, LiDAR, radar, and communication units. Traditionally, these modules process the sensed data on high-performance computing units inside the vehicle, which can deploy intelligent algorithms and AI models. The sensors mentioned above can produce large volumes of data...
journal article 2023
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Tselentis, D. (author), Papadimitriou, E. (author)
This study reviews the Artificial Intelligence and Machine Learning approaches developed thus far for driver profile and driving pattern recognition, representing a set of macroscopic and microscopic behaviors respectively, to enhance the understanding of human factors in road safety, and therefore reduce the number of crashes. It provides a...
journal article 2023
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Damian, Mircea (author), Shyrokau, B. (author), Carrera Akutain, Xabier (author), Happee, R. (author)
A realistic steering feel is one of the key elements to guarantee fidelity on a driving simulator in general, and in particular to replicate on-centre vehicle handling. This requires precise modelling of the steering dynamics, a high bandwidth control loading system, and coupling of virtual and physical components in agreement with...
journal article 2022
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Zhou, Feng (author), Yang, X. Jessie (author), de Winter, J.C.F. (author)
Situation awareness (SA) is critical to improving takeover performance during the transition period from automated driving to manual driving. Although many studies measured SA during or after the driving task, few studies have attempted to predict SA in real time in automated driving. In this work, we propose to predict SA during the takeover...
journal article 2022
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Sharma, Salil (author), van Lint, J.W.C. (author), Tavasszy, Lorant (author), Snelder, M. (author)
This paper studies and compares the gap selection process of multiple vehicle classes (passenger cars, delivery vans, and trucks) within their discretionary lane changing activities. Given a trajectory or a sequence of gap selection decisions, we aim to predict whether a vehicle will change or keep a lane. For this purpose, we use a large...
journal article 2022
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Kronmüller, M. (author), Fielbaum, Andres (author), Alonso-Mora, J. (author)
This paper presents a novel approach to route heterogeneous fleets for flash delivery operations. Flash deliveries offer to serve customers' wishes in minutes. We investigate a scenario that allows to pick up orders at multiple depots with a heterogeneous vehicle fleet leveraging different modes of transportation. We propose the Heterogeneous...
conference paper 2022
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Li, Meng (author), Chen, Yifei (author), Lal, C. (author), Conti, M. (author), Martinelli, Fabio (author), Alazab, Mamoun (author)
Security and privacy issues have become a major hindrance to the broad adoption of Ride-Hailing Services (RHSs). In this article, we introduce a new collusion attack initiated by the Ride-Hailing Service Provider (RHSP) and a driver that could easily link the real riders and their anonymous requests (credentials). Besides this attack,...
journal article 2022
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Rios Lazcano, A.M. (author), Niu, Tenghao (author), Carrera Akutain, Xabier (author), Cole, David (author), Shyrokau, B. (author)
Advanced Driver Assistance Systems (ADAS) aim to increase safety and reduce mental workload. However, the gap in the understanding of the closed-loop driver-vehicle interaction often leads to reduced user acceptance. In this study, an optimal torque control law is calculated online in the Model Predictive Control (MPC) framework to guarantee...
journal article 2021
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de Winkel, K.N. (author), Pretto, Paolo (author), Nooij, Suzanne A.E. (author), Cohen, Iris (author), Bülthoff, Heinrich H. (author)
The risk of motion sickness is considerably higher in autonomous vehicles than it is in human-operated vehicles. Their introduction will therefore require systems that mitigate motion sickness. We investigated whether this can be achieved by augmenting the vehicle interior with additional visualizations. Participants were immersed in motion...
journal article 2021
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Wolbertus, R. (author)
A lack of charging infrastructure is seen as the biggest barrier to electric vehicle adoption. This thesis analyses the use of public charging infrastructure and its relation to electric vehicle adoption in urban areas. With the use a large dataset on charging station use, charging behaviour is characterised and the influence of national and...
doctoral thesis 2020
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Lin, Q. (author), Zhang, Yihuan (author), Verwer, S.E. (author), Wang, Jun (author)
This paper proposes a novel hybrid model for learning discrete and continuous dynamics of car-following behaviors. Multiple modes representing driving patterns are identified by partitioning the model into groups of states. The model is visualizable and interpretable for car-following behavior recognition, traffic simulation, and human-like...
journal article 2019
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van der El, Kasper (author), Pool, D.M. (author), van Paassen, M.M. (author), Mulder, Max (author)
Novel driver support systems potentially enhance road safety by cooperating with the human driver. To optimize the design of emerging steering support systems, a profound understanding of driver steering behavior is required. This article proposes a new theory of driver steering, which unifies visual perception and control models. The theory...
journal article 2019
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Schwarting, Wilko (author), Alonso-Mora, J. (author), Pauli, Liam (author), Karaman, Sertac (author), Rus, Daniela (author)
Current state-of-the-art vehicle safety systems, such as assistive braking or automatic lane following, are still only able to help in relatively simple driving situations. We introduce a Parallel Autonomy shared-control framework that produces safe trajectories based on human inputs even in much more complex driving scenarios, such as those...
conference paper 2017
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