People spend a significant amount of time in their cars (US: 86 minutes/day, Europe: 43 minutes/day) while commuting, shopping, or traveling. Hence, the variety of entertainment in the car increases, and many vehicles are already equipped with displays, allowing for watching news, videos, accessing the Internet, or playing games. At the same time, the urbanization caused a massive increase of traffic volume, which led to people spending an ever-increasing amount of their time in front of red traffic lights. An observation of the prevailing forms of entertainment in the car reveals that content such as text, videos, or games are often a mere adaptation of content produced for television, public displays, PCs, or mobile phones and do not adapt to the situation in the car. In this paper we report on a web survey assessing which forms of entertainment and which types of content are considered to be useful for in-car entertainment by drivers. We then introduce an algorithm, which is capable of learning standing times in front of traffic lights based on GPS information only. This, on one hand, allows for providing content of appropriate length, on the other hand, for directing the attention of the driver back to-wards the street at the right time. Finally, we present a prototype implementation and a qualitative evaluation.
Aktuelle Rückmeldedaten und eine effiziente Betriebsdatenerfassung werden im Zeitalter von Industrie 4.0 immer wichtiger. Daher haben sich führende deutsche produktionstechnische Forschungsinstitute im Bereich der Produktionsplanung und -steuerung zur Ausarbeitung einer gemeinsamen Studie zusammengeschlossen, um Handlungsbedarfe zu identifizieren. Ein wesentliches Ergebnis der Umfrage ist, dass besonders die kleinen und mittleren Unternehmen (KMU) noch Handlungsbedarf hinsichtlich ihrer Ausstattung mit Informationstechnologie (IT)-Systemen sowie deren Nutzung haben. In “Industrie 4.0“, up-to-date production-related data and efficient data acquisition processes are of paramount importance. Therefore, the four leading German institutes of production technology in the field of production planning and control have conducted a survey in order to explore the state of the art and necessary research fields. In particular small and medium sized enterprises need to consider IT investments for taking advantage of production-related data in Industrie 4.0.
Immer kundenindividuellere Prozessketten sowie eine gleichzeitig steigende Marktdynamik stellen Unternehmen und insbesondere die Produktionssteuerung vor große Herausforderungen. Das Forschungsprojekt ProSense erarbeitet Lösungen für eine Produktionssteuerung in Zeiten von Industrie 4.0. Auf Basis kybernetischer Unterstützungssysteme und intelligenter Sensorik soll der Entscheider optimal bei Planung und Steuerung der Produktion unterstützt werden. Customer-specific process chains and increasingly dynamic market conditions pose a major challenge for manufacturing companies and especially their production planning and control processes. The research project ProSense develops solutions for a production control in the context of Industrie 4.0. Building on cybernetic support systems and intelligent sensors, the employees can be optimally supported in decisions concerning production planning and control.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.