Untersuchungen zu Fahrzeug-Ampel-Assistenzfunktionen basierend auf historienbasierten Prognosedaten im Realverkehr - Lewerenz, Per
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Regarding the range, the human perception organs are limited, which leads to a lack of information for the drivers of motorized transport systems. This deficit can be compensated by the unrestricted range of vehicle to vehicle (V2V) and / or vehicle to infrastructure (V2I) communication systems. With the aim of a beneficial combination of the human advantages with those of technical systems, connected assistance systems can provide missing information, which the driver can take into account for the assessment of the situation. Approaching traffic lights is a traffic situation, which often…mehr

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Produktbeschreibung
Regarding the range, the human perception organs are limited, which leads to a lack of information for the drivers of motorized transport systems. This deficit can be compensated by the unrestricted range of vehicle to vehicle (V2V) and / or vehicle to infrastructure (V2I) communication systems. With the aim of a beneficial combination of the human advantages with those of technical systems, connected assistance systems can provide missing information, which the driver can take into account for the assessment of the situation. Approaching traffic lights is a traffic situation, which often brings an information deficiency on behalf of the driver. The driver is in need of information about the upcoming signal status so that he can adapt his driving behavior to the situation optimally. Upcoming signal status of traffic-dependent light signal systems can be predicted - with different levels of detail - and provided to the driver in connected vehicles. The question remains whether the human driver also incorporates uncertain information predictions into the situation assessment, as a detailed prognosis sets demands on the infrastructure which are often not met today. The aim of the present work is the prototypical implementation and investigation of a connected assistance system, which gives the driver a speed recommendation when approaching traffic lights. The recommendation is calculated by a prediction algorithm that is exclusively based on the observations of the past signal states. The benefit of the assistance system is investigated on the basis of experimental studies in the actual traffic of Dresden and is quantified based on the evaluation of both the measurement of vehicle condition as well as the subjective system assessment by the test subjects. Since the grade of uncertainty is comprehensible due to the form of presentation, the subjects rated the information despite this as unambiguous. The evaluation of the results shows that the test subjects can incorporate the information into their situation assessment advantageously by saving around 11% of energy due to the speed adaption even in case of an uncertain prognosis.