Mohamed Benmimoun

euroFOT: Field Operational Test and Impact Assessment of Advanced Driver Assistance Systems: Final Results

Within the first European large scale field operational test euroFOT the effects of eight different Advanced Driver Assistance Systems (ADAS) were investigated. About 1,000 vehicles equipped with different ADAS were used. The Institute of Automotive Engineering (ika) of the RWTH Aachen University analysed the effects of ACC usage in combination with FCW under normal driving conditions of 100 passenger cars. The results of the data analysis show positive effects on traffic safety and fuel consumption. In addition, the complete process chain from the data collection to the analysis was defined and conducted at the ika.

Effects of ACC and FCW on Speed, Fuel Consumption, and Driving Safety

Intelligent Transportation Systems (ITS) are widely expected to deliver a major contribution to the improvement of driving comfort as well as road safety. An insight into the benefits of ITS is an important ingredient in the deployment of ITS. Assessing these benefits is one of the research goals within the 7th Framework Program of the European Commission. Field Operational Tests (FOT) have emerged as an important research methodology for assessing the impact of ITS on driver behavior and performance, traffic safety, traffic efficiency as well as the environment. Within the euroFOT project, a large scale field test that involves approximately 1000 instrumented vehicles on the road all over Europe the impact of eight selected ITS function is tested. Most of these vehicles have one or more ITS applications on board, including continuously operating ones like Adaptive Cruise Control (ACC) and Forward Collision Warning (FCW). This paper describes the method applied for the FOT to assess the impact of the ACC and FCW. The euroFOT approach has some similarities to existing FOTs but includes novel aspects to handle specific limitations and conditions of the FOT and the available data. The paper further describes the final results of the data analysis based on the predefined hypotheses to answer the research questions of the project.

Evaluation of Automated Road Vehicles

In the past years various partially automated driving functions have been introduced on the market. More advanced functions are currently in research. By means of these functions partly automated driving in specific driving situations is already realized, e.g. a traffic jam assist performs longitudinal and lateral control at low speeds. Besides the technical challenges to realize automated driving in complex driving situations, e.g. intersection areas, new approaches to evaluate these functions under different driving conditions are necessary, in order to assess the benefits and identify potential weaknesses. In this context, this chapter describes a systematic approach to evaluate road vehicles with automated driving functions. The presented approach is divided into a technical, a user-related and an impact evaluation.

Wirkungsanalyse von Abstandsregelung und Abstandswarnung

Im Rahmen des ersten europaischen Feldversuchs euroFOT wurde die Wirkung von acht verschiedenen Fahrerassistenzsystemen im offentlichen Strasenverkehr untersucht. Neben der Umsetzung der kompletten Prozesskette zur Datenerhebung und -verarbeitung wurde am Institut fur Kraftfahrzeuge der RWTH Aachen University eine Wirkungsanalyse fur die Abstandsregelung (Adaptive Cruise Control, ACC) und die Abstandswarnung (Forward Collision Warning, FCW) an 100 Pkw durchgefuhrt. Die Ergebnisse der Wirkungsanalyse zeigen positive Effekte auf die Verkehrssicherheit und den Kraftstoffverbrauch.