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Arpad Takacs and Tamas Haidegger
The significance of V2X (Vehicle-to-Everything) technology in the context of highly automated and autonomous vehicles can hardly be overestimated. While V2X is not considered a standalone technology for achieving high automation, it is recognized as a sa...
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Naomi Y. Mbelekani and Klaus Bengler
Learnability in Automated Driving (LiAD) is a neglected research topic, especially when considering the unpredictable and intricate ways humans learn to interact and use automated driving systems (ADS) over the sequence of time. Moreover, there is a scar...
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Xinyu Tian, Qinghe Zheng, Zhiguo Yu, Mingqiang Yang, Yao Ding, Abdussalam Elhanashi, Sergio Saponara and Kidiyo Kpalma
At present, the design of modern vehicles requires improving driving performance while meeting emission standards, leading to increasingly complex power systems. In autonomous driving systems, accurate, real-time vehicle speed prediction is one of the ke...
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Mikel Labayen, Laura Medina, Fernando Eizaguirre, José Flich and Naiara Aginako
The automation of railroad operations is a rapidly growing industry. In 2023, a new European standard for the automated Grade of Automation (GoA) 2 over European Train Control System (ETCS) driving is anticipated. Meanwhile, railway stakeholders are alre...
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Wenbo Wang, Songhua Fan, Zijian Wang, Xinpeng Yao and Kenan Mu
Electric freight vehicles have become an important means of transportation in connected and automated environments owing to their numerous advantages. However, the generally short driving range of connected and automated electric freight vehicles (CAEFVs...
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Markus Metallinos Log, Thomas Thoresen, Maren H. R. Eitrheim, Tomas Levin and Trude Tørset
Many modern vehicles collect inter-vehicle distance data from radar sensors as input to driver assistance systems. However, vehicle manufacturers often use proprietary algorithms to conceal the collected data, making them inaccessible to external individ...
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Fang You, Xu Yan, Jun Zhang and Wei Cui
Automated vehicles can perceive their environment and control themselves, but how to effectively transfer the information perceived by the vehicles to human drivers through interfaces, or share the awareness of the situation, is a problem to be solved in...
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Yke Bauke Eisma, Dirk J. Eijssen and Joost C. F. de Winter
This study explores how drivers of an automated vehicle distribute their attention as a function of environmental events and driving task instructions. Twenty participants were asked to monitor pre-recorded videos of a simulated driving trip while their ...
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Nadja Schömig, Katharina Wiedemann, André Wiggerich and Alexandra Neukum
Vehicles equipped with so-called partially automated driving functions are becoming more and more common nowadays. The special feature of this automation level is that the driver is relieved of the execution of the lateral and longitudinal driving task, ...
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Serio Agriesti, Claudio Roncoli and Bat-hen Nahmias-Biran
Agent-based modeling has the potential to deal with the ever-growing complexity of transport systems, including future disrupting mobility technologies and services, such as automated driving, Mobility as a Service, and micromobility. Although different ...
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