AUTOMOBIL – selbstbewegtes Fahrzeug

Bertram, Torsten; Isermann, Rolf · 2019 · Crossref

DOI: 10.1007/s10010-019-00333-w

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Summary

This editorial by Torsten Bertram and Rolf Isermann introduces the July 2019 special issue of *Forschung im Ingenieurwesen*, which focuses on automated driving and drive train control. The paper addresses the transformation of future mobility, characterized by the automation of driving functions, electrification of drive trains, networking of traffic participants, and individualization of traffic systems. The authors argue that these developments will fundamentally differ from current mobility paradigms, leading to increased traffic safety by removing the human as a risk factor, improved traffic efficiency through optimized flow, and better environmental outcomes. The transition from manual to fully automated driving is expected to occur on different timelines depending on the complexity and criticality of scenarios in highway, rural, and urban environments. The editorial outlines the scope of the VDI Conference AUTOREG 2019, which serves as the basis for the special issue. The conference and the resulting publications are divided into two main thematic areas: automated driving and assistance systems, and drive train control. Automated driving topics include foundations of vehicle control, driver assistance systems, driving strategies, trajectory planning, comfort requirements, learning-based methods, simulation, and control of networked vehicles. Drive train topics cover control of combustion engines, electric and hybrid drives, and battery and energy management. The authors emphasize that achieving these goals requires interdisciplinary research, including psychology, physiology, sociology, and legal studies, particularly regarding liability in accidents involving automated vehicles. The special issue features contributions from the AUTOREG 2019 conference, presenting recent insights and results from both simulation and driving tests. Specific topics covered in the issue include control of redundant actuated steer-by-wire systems, nonlinear model-based predictive control of vehicle dynamics for active roll stabilization and pitch reduction, decentralized path planning for cooperating autonomous mobile units, prediction of highway lane changes based on prototype trajectories, vehicle detection with stationary cameras for automatic traffic monitoring, and review and experimental evaluation of models for drivability simulation with a focus on tire modeling. Four plenary lectures round out the issue, focusing on stepwise safe automated driving on highways, future perspectives of combustion engines, the impact of driving bans with mobile air pollutant measurements in German cities, and the future of diesel technology with lower emissions and fuel consumption. The significance of this work lies in its comprehensive overview of the current state of technology and new research fields in automated driving and drive train control. By presenting a diverse range of topics from technical control systems to broader societal and environmental impacts, the editorial highlights the multifaceted nature of the transition to automated mobility. It serves as a resource for interested readers to understand the technological advancements and the interdisciplinary challenges involved in developing safe, efficient, and sustainable automated vehicle systems.

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StageOutcomeToolModelPromptAttemptsCompleted
discover success Crossref 1 2026-06-25
archive success canonical_url 1 2026-06-26
extract success cached 2 2026-06-26
clean success clean 1 2026-06-26
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embed success embed Qwen/Qwen3-Embedding-8B 1 2026-06-26
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promote success 1 2026-06-25
summarize success llm qwen3.6-27b-prismaquant summ-v5 1 2026-06-26
tag success vector_similarity 6 2026-06-26
verify success 1 2026-06-26

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