TY - JOUR A1 - Hager, Markus A1 - Seitz, Jochen A1 - Waas, Thomas T1 - Literature Survey on Recent Progress in Inter-Vehicle Communication Simulations JF - Journal of Transportation Technologies N2 - The vehicular ad hoc network (VANET) technology based on the approved IEEE 802.11p standard and the appendant inter-vehicle communication (IVC) has the potential to dramatically change the way transportation systems work. The fundamental idea is to change the individual behavior of each vehicle by exchanging information among traffic participants to realize a cooperative and more efficient ransportation system. Certainly, the evaluation of such systems is a comprehensive and challenging task in a real world test bed, therefore, simulation frameworks are a key tool to analyze IVC. Several models are needed to emulate the real behavior of a VANET in all aspects as much realistically as necessary. The intention of this survey is to provide a comprehensive overview of publications concerning IVC simulations of the year 2013 and to see how IVC simulation has changed since 2009. Based on this analysis, we will answer the following questions: What simulation techniques are applied to IVC? Which aspects of IVS have been evaluated? What has changed within five years of IVC simulations? We also take a closer look at commonly used software tools and discuss their functionality and drawbacks. Finally, we present open questions concerning IVC simulations. KW - Inter-Vehicle Communication KW - Simulation KW - Survey Y1 - 2015 UR - https://file.scirp.org/pdf/JTTs_2015071315165413.pdf U6 - https://doi.org/10.4236/jtts.2015.53015 VL - Vol. 5 IS - 3 SP - 159 EP - 168 ER - TY - JOUR A1 - Hager, Markus A1 - Finke, Thomas A1 - Seitz, Jochen A1 - Waas, Thomas T1 - Software-based management for Ethernet networks JF - Wireless Personal Communications N2 - An adequate network management is an essential part for each network permitting to keep the network performance at a suitable level. In this paper, we present our work focusing on an Ethernet network which is used as background interconnection technology for a smart home system in large buildings like tenements or an office block. In this case the network is larger and especially the applications are quite heterogeneous as compared to a private smart home system. Therefore, it is hard to supply a fair and quality of service aware network meeting all the demands. This is especially challenging in the case of an Ethernet network because this technology was intended to use it as a transparent connection system without the feature to support hard quality of service. We present how this problem could be solved by a middleware which best meets the special requirement of the mentioned use case. Finally, we discuss possible design improvements of this solution and present the recent Ethernet standards that could help solve this problem in an alternative way. KW - Network management KW - Ethernet KW - Middleware Y1 - 2014 U6 - https://doi.org/10.1007/s11277-013-1341-3 VL - 74 IS - 3 SP - 1021 EP - 1032 PB - Springer Nature ER - TY - GEN A1 - Bresinsky, Markus A1 - Hager, Eva A1 - Xanthos, George T1 - ChatGPT for futures: how large language models can support the development of future scenarios using the Cone of Plausibility T2 - CCEW SYMPOSIUM 2024: Predictive Synergies: Crisis Early Warning & Foresight, 19. und 20. September 2024, München N2 - Recently, large language models (LLMs), such as the “Chat Generative Pre-trained Transformer”, commonly known as ChatGPT, are substantially impacting the world of (big) data analytics and artificial intelligence. This paper explores how ChatGPT-4 can be used to support the development of future scenarios using the Cone of Plausibility method. The most recent version ChatGPT 4.0 differs from its predecessors in that it can now access real-time data to generate its responses. This makes it an attractive tool for intelligence analysts, who are faced with the permanent challenge of having to sift through large amounts of data whilst also providing actionable products in a timely manner. Previous versions of ChatGPT were prone to errors such as making up information. But what if, using the right prompts, version 4.0 could become a useful sparring partner for developing future scenarios? In this study, we will ask ChatGPT 4.0 to generate sets of plausible future scenarios for “Russia 2035+” based on previously specified key drivers and assumptions. The LLM’s potential for error is reduced because it is not working with hypotheses that it has generated itself. This could turn ChatGPT into a quick-thinking sparring partner for imagining varieties of future scenarios, supporting out-of-the box thinking and further minimising cognitive biases. To evaluate the reliability and accuracy of the results generated by ChatGPT, we will use the VV&A concept developed by the US Department of Defence. According to this concept, credibility in an intelligence product is rooted in the verification, validation and accreditation of its analysis. This process is routinely followed by every intelligence analyst. We will have found out to which extent and under which circumstances ChatGPT 4.0 can credibly support the development of future scenarios. Y1 - 2024 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:898-opus4-77811 ER -