@article{EmigHebelSchwark2022,
  author    = {Emig, J. and Hebel, Christoph and Schwark, A.},
  title     = {Einsatzbereiche f{\"u}r Verkehrsnachfragemodelle},
  series = {Straßenverkehrstechnik},
  volume    = {66},
  journal   = {Straßenverkehrstechnik},
  number    = {10},
  publisher = {Kirschbaum Verlag GmbH},
  address   = {Bonn},
  issn      = {0039-2219},
  doi       = {10.53184/SVT10-2022-2},
  pages     = {727 -- 736},
  year      = {2022},
  abstract  = {In der Praxis bestehen vielf{\"a}ltige Einsatzbereiche f{\"u}r Verkehrsnachfragemodelle. Mit ihnen k{\"o}nnen Kenngr{\"o}ßen des Verkehrsangebots und der Verkehrsnachfrage f{\"u}r den heutigen Zustand wie auch f{\"u}r zuk{\"u}nftige Zust{\"a}nde bereitgestellt werden, um so die Grundlagen f{\"u}r verkehrsplanerische Entscheidungen zu liefern. Die neuen „Empfehlungen zum Einsatz von Verkehrsnachfragemodellen f{\"u}r den Personenverkehr" (EVNM-PV) (FGSV 2022) veranschaulichen anhand von typischen Planungsaufgaben, welche differenzierten Anforderungen daraus f{\"u}r die Modellkonzeption und -erstellung resultieren. Vor dem Hintergrund der konkreten Aufgabenstellung sowie deren spezifischer planerischer Anforderungen bildet die abzuleitende Modellspezifikation die verabredete Grundlage zwischen Auftraggeber und Modellersteller f{\"u}r die konkrete inhaltliche, fachliche Ausgestaltung des Verkehrsmodells.},
  language  = {de}
}
@incollection{EnglaenderKaminskiSchuba2022,
  author    = {Engl{\"a}nder, Jacques and Kaminski, Lars and Schuba, Marko},
  title     = {Informationssicherheitsmanagement},
  series = {Digitalisierungs- und Informationsmanagement},
  booktitle = {Digitalisierungs- und Informationsmanagement},
  publisher = {Springer Vieweg},
  address   = {Berlin},
  isbn      = {978-3-662-63757-9},
  doi       = {10.1007/978-3-662-63758-6_15},
  pages     = {373 -- 398},
  year      = {2022},
  abstract  = {Daten und Informationen sind die wichtigsten Ressourcen vieler Unternehmen und m{\"u}ssen daher entsprechend gesch{\"u}tzt werden. Getrieben durch die erh{\"o}hte Vernetzung von Informationstechnologie, die h{\"o}here Offenheit infolge datengetriebener Dienstleistungen und eine starke Zunahme an Datenquellen, r{\"u}cken die Gefahren von Informationsdiebstahl, -manipulation und -verlust in den Fokus von produzierenden Unternehmen. Auf dem Weg zum lern- und wandlungsf{\"a}higen Unternehmen kann dies zu einem großen Hindernis werden, da einerseits zu hohe Sicherheitsanforderungen neue Entwicklungen beschr{\"a}nken, andererseits wegen des Mangels an ausreichenden Informationssicherheitskonzepten Unternehmen weniger Innovationen wagen. Deshalb bedarf es individuell angepasster Konzepte f{\"u}r die Bereiche IT-Security, IT-Safety und Datenschutz f{\"u}r vernetzte Produkte, Produktion und Arbeitspl{\"a}tze. Bei der Entwicklung und Durchsetzung dieser Konzepte steht der Faktor Mensch im Zentrum aller {\"U}berlegungen. In diesem Kapitel wird dargestellt, wie der Faktor Mensch bei der Erstellung von Informationssicherheitskonzepten in verschiedenen Phasen zu beachten ist. Beginnend mit der Integration von Informationssystemen und damit verbundenen Sicherheitsmaßnahmen, {\"u}ber die Administration, bis hin zur Anwendung durch den Endnutzer, werden Methoden beschrieben, die den Menschen, verbunden mit seinem Mehrwert wie auch den Risiken, einschließen. Dabei werden sowohl Grundlagen aufgezeigt als auch Konzepte vorgestellt, mit denen Entscheider in der Unternehmens-IT Leitlinien f{\"u}r die Informationssicherheit festlegen k{\"o}nnen.},
  language  = {de}
}
@inproceedings{EnningHilgers2023,
  author    = {Enning, Manfred and Hilgers, Rudolf},
  title     = {Die Assistierte Bremsprobe als Br{\"u}cke zur Vollautomatisierung des Schieneng{\"u}terverkehrs},
  series = {IRSA 2023: Tagungsband, Proceedings},
  booktitle = {IRSA 2023: Tagungsband, Proceedings},
  editor    = {Nießen, Nils and Schindler, Christian},
  publisher = {RWTH Aachen},
  address   = {Aachen},
  doi       = {10.18154/RWTH-2024-00257},
  pages     = {60 -- 75},
  year      = {2023},
  language  = {de}
}
@article{EnningPfaff2016,
  author    = {Enning, Manfred and Pfaff, Raphael},
  title     = {Digitalisierung bringt mehr G{\"u}ter auf die Schiene},
  series = {Sonderprojekte ATM/MTZ},
  volume    = {21},
  journal   = {Sonderprojekte ATM/MTZ},
  number    = {6 (suppl.)},
  publisher = {Springer Fachmedien},
  address   = {Wiesbaden},
  issn      = {2509-4610},
  doi       = {10.1007/s41491-016-0570-7},
  pages     = {34 -- 37},
  year      = {2016},
  language  = {de}
}
@article{EnningPfaff2017,
  author    = {Enning, Manfred and Pfaff, Raphael},
  title     = {G{\"u}terwagen 4.0 - Mehr als nur technischer Fortschritt},
  series = {Privatbahn-Magazin},
  journal   = {Privatbahn-Magazin},
  number    = {2},
  publisher = {Bahn Media},
  address   = {Suhlendorf},
  issn      = {1865-0163},
  pages     = {21 -- 25},
  year      = {2017},
  abstract  = {Lokomotiven sind dank modernster Konzepte der Antriebstechnik heute energiesparend und umweltfreundlich. Eine Ausr{\"u}stung mit Telematik und Assistenzfunktionen ist Standard. Auf der Strecke zeigt sich moderne Technik in Form elektronischer Stellwerke und Zugsicherungssysteme und in Rangier- und Abstellanlagen als EOW-Technik. Am G{\"u}terwagen hingegen ist der technische Fortschritt komplett vorbeigegangen. Auch beim modernsten Wagen (Abb. 1) ist die einzige „Automatik"-Funktion die zentral {\"u}ber die Hauptluftleitung (HL) versorgte und bet{\"a}tigte Luftbremse.},
  language  = {de}
}
@article{EnningSchmidtWilbring2019,
  author    = {Enning, Manfred and Schmidt, Bernd and Wilbring, Daniela},
  title     = {Auf dem Weg zur autonomen Anschlussbedienung},
  series = {Privatbahn-Magazin},
  journal   = {Privatbahn-Magazin},
  number    = {3},
  publisher = {Bahn Media},
  address   = {Suhlendorf},
  issn      = {1865-0163},
  pages     = {40 -- 43},
  year      = {2019},
  language  = {de}
}
@article{Esch2010,
  author    = {Esch, Thomas},
  title     = {Trends in commercial vehicle powertrains},
  series = {ATZautotechnology},
  volume    = {2010},
  journal   = {ATZautotechnology},
  number    = {10},
  publisher = {Vieweg \& Sohn},
  address   = {Wiesbaden},
  issn      = {2192-886X},
  doi       = {10.1007/BF03247185},
  pages     = {26 -- 31},
  year      = {2010},
  abstract  = {Low emission zones and truck bans, the rising price of diesel and increases in road tolls: all of these factors are putting serious pressure on the transport industry. Commercial vehicle manufacturers and their suppliers are in the process of identifying new solutions to these challenges as part of their efforts to meet the EEV (enhanced environmentally friendly vehicle) limits, which are currently the most robust European exhaust and emissions standards for trucks and buses.},
  language  = {en}
}
@techreport{EschFunkeRoosen2010,
  author    = {Esch, Thomas and Funke, Harald and Roosen, Petra},
  title     = {SIoBiA - Safety Implications of Biofuels in Aviation},
  publisher = {EASA},
  address   = {K{\"o}ln},
  pages     = {279 Seiten},
  year      = {2010},
  abstract  = {Biofuels potentially interesting also for aviation purposes are predominantly liquid fuels produced from biomass. The most common biofuels today are biodiesel and bioethanol. Since diesel engines are rather rare in aviation this survey is focusing on ethanol admixed to gasoline products. The Directive 2003/30/EC of the European Parliament and the Council of May 8th 2003 on the promotion of the use of biofuels or other renewable fuels for transport encourage a growing admixture of biogenic fuel components to fossil automotive gasoline. Some aircraft models equipped with spark ignited piston engines are approved for operation with automotive gasoline, frequently called "MOGAS" (motor gasoline). The majority of those approvals is limited to MOGAS compositions that do not contain methanol or ethanol beyond negligible amounts. In the past years (bio-)MTBE or (bio-)ETBE have been widely used as blending component of automotive gasoline whilst the usage of low-molecular alcohols like methanol or ethanol has been avoided due to the handling problems especially with regard to the strong affinity for water. With rising mandatory bio-admixtures the conversion of the basic biogenic ethanol to ETBE, causing a reduction of energetic payoff, becomes more and more unattractive. Therefore the direct ethanol admixture is accordingly favoured. Due to the national enforcements of the directive 2003/30/EC more oxygenates produced from organic materials like bioethanol have started to appear in automotive gasolines already. The current fuel specification EN 228 already allows up to 3 \% volume per volume (v/v) (bio-)methanol or up to 5 \% v/v (bio-)ethanol as fuel components. This is also roughly the amount of biogenic components to comply with the legal requirements to avoid monetary penalties for producers and distributors of fuels. Since automotive fuel is cheaper than the common aviation gasoline (AVGAS), creates less problems with lead deposits in the engine, and in general produces less pollutants it is strongly favoured by pilots. But being designed for a different set of usage scenarios the use of automotive fuel with low molecular alcohols for aircraft operation may have adverse effects in aviation operation. Increasing amounts of ethanol admixtures impose various changes in the gasoline's chemical and physical properties, some of them rather unexpected and not within the range of flight experiences even of long-term pilots.},
  language  = {en}
}
@article{FayyaziSardarThomasetal.2023,
  author    = {Fayyazi, Mojgan and Sardar, Paramjotsingh and Thomas, Sumit Infent and Daghigh, Roonak and Jamali, Ali and Esch, Thomas and Kemper, Hans and Langari, Reza and Khayyam, Hamid},
  title     = {Artificial intelligence/machine learning in energy management systems, control, and optimization of hydrogen fuel cell vehicles},
  volume    = {15},
  number    = {6},
  publisher = {MDPI},
  address   = {Basel},
  doi       = {10.3390/su15065249},
  pages     = {38},
  year      = {2023},
  abstract  = {Environmental emissions, global warming, and energy-related concerns have accelerated the advancements in conventional vehicles that primarily use internal combustion engines. Among the existing technologies, hydrogen fuel cell electric vehicles and fuel cell hybrid electric vehicles may have minimal contributions to greenhouse gas emissions and thus are the prime choices for environmental concerns. However, energy management in fuel cell electric vehicles and fuel cell hybrid electric vehicles is a major challenge. Appropriate control strategies should be used for effective energy management in these vehicles. On the other hand, there has been significant progress in artificial intelligence, machine learning, and designing data-driven intelligent controllers. These techniques have found much attention within the community, and state-of-the-art energy management technologies have been developed based on them. This manuscript reviews the application of machine learning and intelligent controllers for prediction, control, energy management, and vehicle to everything (V2X) in hydrogen fuel cell vehicles. The effectiveness of data-driven control and optimization systems are investigated to evolve, classify, and compare, and future trends and directions for sustainability are discussed.},
  language  = {en}
}
@inproceedings{FiedlerGottschlichMuellerMelcher2021,
  author    = {Fiedler, Gerda and Gottschlich-M{\"u}ller, Birgit and Melcher, Karin},
  title     = {Online-Pr{\"u}fungen mit STACK Aufgaben},
  series = {Tagungsband ASIM Workshop STS/GMMS/EDU 2021},
  booktitle = {Tagungsband ASIM Workshop STS/GMMS/EDU 2021},
  editor    = {Liu-Henke, Xiaobo and Durak, Umut},
  publisher = {ARGESIM Verlag},
  address   = {Wien},
  isbn      = {978-3-901608-69-8},
  doi       = {10.11128/arep.45},
  pages     = {173 -- 178},
  year      = {2021},
  abstract  = {Wir stellen hier exemplarisch STACK Aufgaben vor, die frei von der Problematik sind, welche sich durch diverse Kommunikationswege und (webbasierte) Computer Algebra Systeme (CAS) ergibt. Daher sind sie insbesondere f{\"u}r eine Open-Book Online Pr{\"u}fung geeignet, da eine faire Pr{\"u}fungssituation gew{\"a}hrleistet werden kann.},
  language  = {de}
}