Abteilung Fahrzeugtechnik
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Müdigkeit am Steuer ist eine bedeutsame Ursache von Straßenverkehrsunfällen. Es steht eine Fülle unterschiedlicher Methoden zur Verfügung, um Müdigkeit beim Fahrer zu erkennen. Ziel des vorliegenden Projekts war es, auf Basis einer mehrstufigen Befragung von zwölf Experten aus Industrie- und Hochschulforschung die Stärken und Schwächen der derzeit validesten objektiven Müdigkeitsmessverfahren vergleichend zu beschreiben. Als Basis der Bewertung diente ein eigens erarbeiteter Gütekriterienkatalog. Zu den validesten Müdigkeitsmessverfahren gehören aus Expertensicht Lenkverhalten und Spurhaltung, Indikatoren des Lidschlussverhaltens und des EEG, das videobasierte Expertenrating sowie der kontrovers diskutierte Pupillografische Schläfrigkeitstest. Die Güteprofile der sechs ausgewählten Messverfahren werden aufgeführt. Je nach Einsatzgebiet sind alle ausgewählten Messverfahren (Forschung und Entwicklung), nur einige (Müdigkeitswarnsystem im Fahrzeug), oder kein einziges (Verkehrskontrolle) geeignet. Dem Urteil der Experten nach bedarf eine valide Müdigkeitserfassung der Kombination von mindestens zwei Messverfahren unter Berücksichtigung der spezifischen Stärke-Schwächenprofile.
This paper presents findings of a laboratory experiment which aimed at evaluating the sensitivity and intrusiveness of Tactile Detection Response Task (TDRT) methodology. Various single-task, dual-task and triple-task scenarios were compared. The task scenarios included a surrogate of driving (tracking task) and different secondary tasks (N-back, surrogate reference task (SuRT)). The results suggest that the TDRT is sensitive to load levels of secondary tasks which primarily demand for cognitive resources (N-back). Sensitivity to variations of visual"manual load could not be shown (SuRT). TDRT seems also to be able to differentiate between modes of primary task which varies in terms of cognitive load (visual against auditory tracking task). Results indicated intrusiveness of TDRT on primary task performance and secondary task performance depending on the type of underlying task scenario. As a conclusion, TDRT can be recommended as a method to assess attentional effects of cognitive load of a secondary task, but should be used with caution for secondary tasks with strong motor demands.
Established in 1997, the European New Car Assessment Programme (Euro NCAP) provides consumers with a safety performance assessment for the majority of the most popular cars in Europe. Thanks to its rigorous crash tests, Euro NCAP has rapidly become an important driver safety improvement to new cars. After ten years of rating vehicles, Euro NCAP felt that a change was necessary to stay in tune with rapidly emerging driver assistance and crash avoidance systems and to respond to shifting priorities in road safety. A new overall rating system was introduced that combines the most important aspects of vehicle safety under a single star rating. The overall rating system has allowed Euro NCAP to continue to push for better fitment and higher performance for vehicles sold on the European market. In the coming years, the safety rating is expected to play an important role in the support of the roll-out of highly automated vehicles.
Estimation of the effects of new emission standards on motorcycle emissions by means of modeling
(2016)
Road traffic is, in addition to the energy sector and the industry, one main source of air pollution and carbon dioxide emissions. Although most countries and manufacturers agreed to environmental regulations to reduce the pollutant emissions, particularly in urban areas with high traffic density, the impact of road traffic emissions on the environment and human health has been growing in importance steadily. Due to stricter emission standards and the binding use of emission-reducing systems (e.g. three-way catalyst) hydrocarbon emissions from passenger cars have been reduced significantly since the last two decades. Unlike to passenger cars the emissions standards of powered two-wheelers have not been adjusted since 2006 although their share of hydrocarbon emissions to the total amount of hydrocarbon emissions of road traffic is estimated to be disproportionately high. Due to the new regulation (EU) No. 168/2013 powered two-wheelers have to fulfill new emission standards from 2016 (Euro 4) and 2020 (Euro 5) onwards. Besides new limits for the tailpipe emissions the evaporative emissions are regulated separately for the first time, as they make up a high proportion to the total hydrocarbon emissions in this vehicle class. In this context, the calculation and forecast of road traffic emissions is an important tool to verify compliance of climate targets and to assess the reduction potential of emission-reducing systems. For that purpose the Federal Highway Research Institute (BASt) uses the emission- and calculation tool TREMOD (Transport Emission Model) which provides baseline data and calculated results for pollutants in almost every differentiation e.g. vehicle category, traffic situation and road type. Moreover, estimations of future emission trends, stock information and mileage distribution can be made. The main objective is to illustrate the impact of the upcoming emission standards Euro 4 and Euro 5 on the operational hydrocarbon emissions of powered two-wheelers based on statistical estimations. The significant aspect is to generate scenarios to show the reduction potential of hydrocarbon emissions of powered two-wheelers, differentiated into motorcycles and small motorcycles, in relation to the total share of hydrocarbon emissions in this vehicle class and to the total hydrocarbon emissions from road traffic. As a part of their research, the authors can make initial statements about the possible effect of the new emission standards of regulation (EU) No. 168/2013 by means of modeling with TREMOD.
There is considerable evidence for the negative effects of driver distraction on road safety. In many experimental studies, drivers have been primarily viewed as passive receivers of distraction. Thus, there is a lack of research on the mediating role of their self-regulatory behavior. The aim of the current study was to compare drivers' performance when engaged in a system-paced secondary task with a self-paced version of this task and how both differed from baseline driving performance without distraction. Thirty-nine participants drove in a simulator while performing a secondary visual"manual task. One group of drivers had to work on this task in predefined situations under time pressure, whereas the other group was free to decide when to work on the secondary task (self-regulation group). Drivers' performance (e.g., lateral and longitudinal control, brake reaction times) was also compared with a baseline condition without any secondary task. For the system-paced secondary task, distraction was associated with high decrements in driving performance (especially in keeping the lateral position). No effects were found for the number of collisions, probably because of the lower driving speeds while distracted (compensatory behavior). For the self-regulation group, only small impairments in driving performance were found. Drivers engaged less in the secondary task during foreseeable demanding or critical driving situations. Overall, drivers in the self-regulation group were able to anticipate the demands of different traffic situations and to adapt their engagement in the secondary task, so that only small impairments in driving performance occurred. Because in real traffic drivers are mostly free to decide when to engage in secondary tasks, it can be concluded that self-regulation should be considered in driver distraction research to ensure ecological validity.