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With the aim of identifying suitable indicators and criteria for evaluating the safe human-machine interaction for SAE level 3 systems up to 60 km/h in the context of automated driving, this research project has started with a focus group interview to identify relevant publication channels and list of keywords regarding indicators for the evaluation of human-machine interaction at SAE Level 3. Based on the identified list of keywords, literature reviews have been conducted to extract relevant publications from the identified publication channels. According to the defined inclusion and exclusion criterion, 38 papers have then been selected and used for meta-analysis to study the influence of different takeover situations on takeover performances. The results of meta-analysis have indicated that drivers’ takeover performances measured by the categories of takeover time, takeover quality and subjective workload are different in static and dynamic situations. After that, expert interviews have been conducted with six international experts to help interpret the results of meta-analysis and develop checklist items. In the end, 16 checklist items assigned in six categories of system requirements have been developed and can be used by international experts to evaluate the safety of the human-machine interaction of SAE Level 3 systems up to 60 km/h in production vehicles. This checklist has been further developed to an online application, which can be used as an easy-to-implement and efficient evaluation procedure in relation to the traffic safety relevant interaction quality of the system.
Annual Report 2021
(2022)
In the Annual Report 2021, the BASt presents a selection of research activities of the year 2021.
In almost 40 contributions, projects from 5 specialist areas are presented. The spectrum of topics ranges from digital transformations in bridges and structural technology to sustainable, climate-resistant highway construction, efficient, ecological and digital traffic engineering, automated, environmentally conscious automotive engineering and the safety of all who participate in traffic.
Highlights as well as facts and figures in short and concise form complete the report.
Annual Report 2020
(2021)
The focus of the Annual Report 2020 is on selected research results from all fields of activity of the BASt.
Among the topics are for example the re-evaluation of the alcohol ban for novice drivers, the effectiveness of emergency braking systems for trucks or risk factors in motorbike traffic. ‘Talking’ workplaces will be discussed as well as the communication of automated vehicles with non-automated road users and airbag safety systems for cyclists.
The traffic barometer shows how traffic developed during the Corona pandemic. Also presented are technical developments to avoid road closures, the RITUN guide for resilient road tunnels, concrete roadway 4.0, how occupational safety demands and promotes innovation, and cross-national research cooperation in road construction.
Results on safe rural roads through suitable protective devices, on the use of digital technologies in engineering structures, on sustainable innovative replacement of concrete bridges as well as BASt activities in the BMVI Network of Experts are also presented.
Highlights as well as facts and figures complete the report.
Annual Report 2019
(2020)
In its Annual Report 2019, the BASt has compiled a selection of its research. For example, the climate impact analysis, among other things, describes an essential research focus for the federal main road network. The new information and evaluation platform "BaustellenCheck" is presented, and reports on digitization in road equipment and maintenance as well as on various activities on the innovative test site duraBASt.
The results of current simulator and test track studies are also part of the annual report, as are the results of level 3 automation studies in real road traffic with an appropriately equipped test vehicle. Approaches to solutions for the infrastructure requirements of automated driving on motorways and federal trunk roads are presented, as well as the current status of the development of regulations in the field of vehicle technology.
The BASt scientists investigated the significance of virtual reality in road safety work. Whether influencers can be used effectively in road safety communication was also considered, as well as other proposed measures to reduce the risk of accidents, especially among young novice drivers.
Highlights as well as facts and figures in short and concise form complete the report.
Technische Sicherheitsverbesserungen führen im Mensch-Maschine-System Straßenverkehr nicht zwangsläufig zu Sicherheitsgewinnen. Von den Einstellungen und Verhaltensgewohnheiten der Fahrzeugführer hängt es ab, ob vergrößerte sicherheitspotenziale adäquat genutzt oder durch Verhaltensanpassungen wieder verspielt werden. Anhand ausgewählter theoretischer Modelle und empirischer Forschungsergebnisse (OECD-Studie Behavioural adaptations to changes in the road transport system) wird dies diskutiert, und es werden Kriterien zur Vermeidung unerwünschter Adaptationen abgeleitet, die bereits bei der Planung und Realisierung technischer Verbesserungen Berücksichtigung finden sollten.
The German highway network hast o face new challenges in the near future, e.g. increasing traffic density and loads, climate change effects and new quality requirements regarding sustainability. It is necessary to come up with foresighted concepts in the present to be prepared for these challenges. Therefore it is important to adapt and enhance innovative attempts, which take changing impacts into account. One goal of these efforts is the development of adaptive systems for the provision of information and a holistic evaluation in real time. The paper describes the recent research and developments on a system for information and holistic evaluation in real time, taking into account sensor networks, evaluation procedures and their implementation in existing maintenance and inspection strategies.
The German highway network is facing new challenges in the near future. The structures have to deal with increasing traffic loads, climate change effects and new requirements regarding sustainability while they are getting older and budget cuts can be expected. To guarantee a reliable highway network, it will be vital to adapt and enhance innovative approaches. Current bridge management relies on the results of conventional bridge inspections and thus has certain limitations when it comes to insufficient load bearing capacity and other systematic weaknesses. Therefore, new approaches for real time condition assessment of critical road infrastructure elements are to be developed.
In most of the existing highway capacity manuals, level of service (LOS) of freeway weaving segments and ramp junctions is traditionally defined by the speed, volume or density in critical areas of merge, diverge and weaving manoeuvres. In that traditional concept several capacity values of different critical areas (merge, diverge, weaving) as well as upstream and downstream basic freeway segments within the influence areas are evaluated separately. In this paper, a new model which considers the total segment of freeway merge, diverge, and weaving as an entire object is introduced. A combined volume-to-capacity ratio is used for defining the LOS of the total segment. According to the probability and queuing theory, the volume-to-capacity ratio of the whole segment can be considered as a combination of volume-to-capacity ratios in the different critical areas under consideration. The parameters of the new model can be calibrated with field data. Those parameters are functions of the number of lanes on the freeways, the number of lanes in the on-ramps or off-ramps, the length of the acceleration, deceleration, or weaving sections. Varying the model parameters the function can be fitted to the existing capacity models for different types of weaving segments or ramp junctions. With this model, the traffic quality (LOS) can be obtained directly as a function of the volumes on the freeway and on the on-ramp or off-ramp respectively. The new model has the following advantages: a) a uniform function for all types of freeway weaving segments and ramp junctions, b) traffic quality assessment for all critical areas under investigation in one step, and c) easy calibration. The new model will be incorporated into the new edition of the German Highway Capacity Manual (HBS 201X).
Traditionally, traffic count statistics in Germany contain the so-called relevant hourly volume, which is defined as the 30th-highest hour of the year when listing the hourly volumes in descending order. When the first edition of the German Highway Capacity Manual (HBS) was prepared in 2001, the Federal Government decided that this 30th hour should be used as the basis for the level of service determination for all Federal freeways and trunk roads. While German freeways are quite well equipped with inductive loop detectors, there are much fewer counts on rural roads and almost no long-term data on urban roads. With the current redraft of the German HBS detailed advice will be given on how to estimate peak-hour demand (all vehicles and heavy vehicle portion), based on the n-th highest hour concept depending on the available traffic counts. As the HBS will be divided into three major parts: freeways, rural roads, and urban roads, three separate chapters for the peak-hour demand estimation will be provided. Whereas for freeways the task consists in finding the comparable site equipped with inductive loop detectors, for urban roads it is a matter of establishing which time periods of the year and weekdays are appropriate for manual short-term counts as estimation of the 30th hour of the year. For all kind of traffic devices the requirements on traffic demand models for level of service calculations are described.