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Per definition, SAE Level 2 (L2) Systems perform both the lateral and longitudinal vehicle motion control with the expectation that the driver completes the Object and Event Detection and Response (OEDR). Since every system performs also parts of the OEDR itself and this amount of OEDR also varies between different L2 systems depending on the intended system design, it cannot be taken for granted that drivers automatically understand their roles and responsibilities in interaction with the system. Especially highly reliable L2 systems performing a greater amount of OEDR while at the same time requiring only little driver input over time can make it difficult for drivers to correctly identify their role and responsibility. Until now, neither application-oriented assessment methods nor design guidelines for OEDR related system design features taking safety of human-machine-interaction into account are available. The objective is therefore to deliver a standardized tool for the assessment of human-machine-interaction-related safety of vehicles with L2 systems currently available on the market. To evaluate the impact of different system design aspects on safety of human-machine-interaction and also to be able to differentiate between system designs, a holistic, standardized and application-oriented assessment procedure is proposed. The novel tablet-based assessment tool focuses not only on available standards and guidelines but measures also concrete user behaviour and user understanding in interaction with the L2 systems. The aim is to gain further insights which cannot be measured directly by simple checklist instruments. For preparation, based on international standards, literature reviews and expert consultations, a first checklistbased expert-evaluation for currently available vehicles with L2 systems was developed. These assessments are focusing on different sources of user information (e.g. user manual), human-machine-interface design as well as the prevention of unintended use by different driver monitoring techniques. The checklist-tool was developed in cooperation with experts of different EuroNCAP test laboratories and validated in a common expert workshop to gain high level of standardization and agreement. However, to assess safety of human-machine-interaction holistically beyond these rather explicit forms of information design criteria, also implicit forms of drivervehicle-communication via vehicle dynamics, functional behavior or reliability play an important role and should be taken into account. Therefore, the main and novel methodological aim is to consider also interaction related processes regarding user´s understanding of roles and responsibilities when applying automated driving functions as well as user´s awareness of automation modes or traffic situations in the modular tablet-based assessment tool.
Cyclists are more likely to be injured in fatal crashes than motorised vehicles. To gain detailed and precise behavioural data of road users, i.e. trajectories, a measuring campaign was conducted. Therefore, a black-spot for accidents with cyclists in Berlin, Germany was selected. The traffic has been detected by a fully automated traffic video analysis system continuously for twelve hours. The video surveillance system is capable of automatically extracting trajectories, classifying road user types and precise determining and positioning of conflicts and accidents. Additionally, pre-conflict and pre-accident situations could be analysed to provide further in-depth understanding of accident causation. The evaluation of the measuring campaign comprised the investigation of traffic parameters, e.g. traffic flow, as well as traffic-safety related parameters based on Surrogate Safety Measures (SSM). Furthermore, the spatial and temporal distributions of conflicts involving cyclists were determined. As a result, three possible conflict clusters could be identified, of which one cluster could be confirmed by detailed video analysis, showing conflicts caused by right turning vehicles.
Motorcycle crashes in Austria: Analysis of causes and contributing factors based on in-depth data
(2017)
From CEDATU, the in-depth accident database run by the Vehicle Safety Institute at Graz University of Technology, a representative sample of 101 crashes involving at least one motorcycle was selected. The analysis focused on causes for crashes as well as on contributing factors, but also included parameters of road, riders and vehicles. Own riding speed and "unexpectable action by another road user" were the most frequent causes for accidents. Inappropriate safety distance or delayed reaction were frequent, both as causation factors and as contributing factors. Infrastructure issues never cause an accident, but they are very frequent as contributing factors; road geometry and road guidance are by far most frequent among these. This paper also discusses accidents by type and other parameters (e.g. injury severity by body region, collision speed, age and others), and compares accident causes to previous studies as well as the police reported accident statistics.
This work describes the results of the experimental activity, illustrating the driving behavior observed in different conditions, relating them to the different methods of ADAS intervention and comparing the driver behavior without ADAS. In the present study, driver behavior was studied in road accidents involving elderly pedestrians, with different ADAS HMIs, as a base to develop a driver model in near missing pedestrian accidents. A literature research was conducted with the aim of finding out the main influencing factors, including environment, boundary conditions, configuration of impact, pedestrian and driver information, when pedestrian fatalities occur and an analysis of frequent road accidents was conducted to get more detailed information about the driver- behavior. In order to obtain more detailed information about pedestrian accidents, real road accidents were reconstructed with multibody simulations on PC-Crash and, by the comparison between literature findings and reconstructions, a generic accident scenario was defined. The generic accident scenario was implemented on the full scale dynamic driving simulator in use at the Laboratory for Safety and Traffic Accident Analysis (LaSIS, University of Florence, Italy) in order to analyse the driving behaviors of volunteers, also considering the influence of ADAS devices. Forty-five young volunteers were enrolled for this study, resulting in forty valid tests on different testing scenarios. Two different scenarios consisted in driving with or without ADAS in the vehicle. Different kinds of ADAS, acoustic and optical, with different time of intervention were tested in order to study the different reactions of the driver. The tests showed some interesting differences between driver's behavior when approaching the critical situation. Drivers with ADAS reacted earlier, but more slowly, depending also on the type of alarm, and often with double reaction when braking. In fact, the results of the activity showed that with ADAS intervention the time to collision (TTC) increases, but the reaction time and braking modality change: a) there is a sort of "latency" time between the accelerator pedal release and the brake pressure; b) the brake pressure is initially less intense. So the driver only partially takes advance from the TTC increase. These differences were valued not only qualitatively, but quantitatively as well. This work revealed to be useful to improve the knowledge of drivers" behavior, in order to realize a driver model that can be implemented to help attaining and assessing higher levels of automation through new technology.
The changed focus in vehicle safety technology from secondary to primary safety systems need to evolve new methods to investigate accidents, high critical, critical and normal driving situations. Current Naturalistic Driving Studies mostly use vehicles that are highly equipped with additional measuring devices, video cameras, recording technology, and sensors. These equipped fleets are very expensive regarding the setup and administration of the study. Due to the great rarity of crashes it is additionally necessary to have a high distribution and a homogeneous distribution of subject groups. At the end all these facts are leading to a very expensive study with a manageable number of data. Smartphones are becoming more and more popular not only for younger people. Contrary to traditional mobile phones they are mostly equipped with sensors for acceleration and yaw rates, GPS modules as well as cameras in high definition resolution. Additionally they have high-performance processors that enable the execution of CPU-intensive tools directly on the phone. The wide distribution of these smartphones enables researchers to get high numbers of users for such studies. The paper shows and demonstrates a software app for smartphones that is able to record different driving situations up to crashes. Therefore all relevant parameter from the sensors, camera and GPS device are saved for a given duration if the event was triggered. The complete configuration is independently adjustable to the relevant driver and all events were sent automatically to the research institute for a further process. Direct after the event, interviews with the driver can be done and important data regarding the event itself are documented. The presentation shows the methodology and gives a demonstration of the working progress as well as first results and examples of the current study. In the discussion the advantages of this method will be discussed and compared with the disadvantages. The paper shows an alternative method to investigate real accident and incident data. This method is thereby highly cost efficient and comparable with existing methods for benefit estimation.
In 2011 399 cyclists died in road accidents in Germany and another 76.351 cyclists have been injured. Since 2000 the number of injured or fatally injured cyclists remained on the same high level. Cyclists form 19% of all casualties in German road traffic, although the modal split rate of this transport mode in 2008 was only 10% of trips and resp. 3% of kilometres per day. The high proportion of fatally and seriously injured shows the high vulnerability of cyclists. The demographic shift towards an older population in Germany and the governmental recommendation of increased bicycle use as an ecological, economical and healthy alternative to other modes of transport lead to the assumption that bicycle use especially of elderly people will increase. Based on these facts about the German cyclists' situation a representative survey of 2.000 cyclists was conducted. Results display use patterns and accident involvement on a descriptive level. Overall 7.7% of cyclists report to have been involved in at least one road traffic accident within the last three years. The performed path model analysis reveals an acceptable model fit. Though the explained variance of accident involvement of the applied psychological factors was low, significant relations between several of these factors and especially risky behaviour could be found.
Rural roads (highways) in Germany have to provide both high road safety and an appropriate level of service in accordance with their function in the road network. Single carriageway rural roads often underperform these expectations. An analysis of severe accidents on rural roads found two main contributing factors. First, high or inappropriate speed leads to accidents caused by the loss of control of the vehicle. Second, unsafe passing manoeuvres related to a misjudgement of sight distance, speed of oncoming vehicles or a misjudgement of the driver vehicle's acceleration capability. On the five roads where unsafe passing manoeuvres were a main contributing factor to accident occurrence, single short passing lanes (600 m to 1.2 km) were built to provide safe passing. On the remaining two-lane sections passing was prohibited by road signs and road marking. This paper investigates the effect of this design change on the accident situation and on traffic flow. The research project is based on a before/after comparison of traffic and accident data. Traffic volume, vehicle types and their velocities as well as the time gaps between the vehicles were recorded at different cross-sections. The result shows a significant improvement in road safety. This improvement was especially noted for severe head-on crashes, which were reduced to almost zero. The analysis of traffic flow on these roads pointed out that the chosen lengths of passing lanes were sufficient for safe passing and thereby reduced the need for dangerous driving behaviour. The recommendations of this research were fundamental for the determination of the design parameters of the second highest design class (EKL 2) in the new German Rural Road Design Guideline (RAL) published in spring 2013.
Die Straßenverkehrsinfrastruktur und der Straßenverkehr müssen sich künftig vielen Herausforderungen stellen. Zu nennen sind hier die Globalisierung, die Nachhaltigkeit, der Anstieg des Güterverkehrs und der technologische, demografische und klimatische Wandel. Die Straßenverkehrsinfrastruktur und der Straßenverkehr müssen sich den prognostizierten und projizierten Veränderungen anpassen. Die BASt betreut in ihrer Strategie "Anpassung der Straßenverkehrsinfrastruktur an den Klimawandel (AdSVIS)" bereits mehr als ein Dutzend Projekte. Diese Strategie soll dazu beitragen, die Verwundbarkeit gegenüber den Folgen des Klimawandels zu mindern bzw. eine leistungsfähige Straßenverkehrsinfrastruktur zu erhalten. Hierfür entscheidend sind nicht nur die durchschnittlichen Änderungen von klimatischen Parametern, sondern mehr noch das Auftreten von Extremwetterereignissen. Geringe Änderungen bei den Mittelwerten können sich aber in hohen Zunahmen bei der statistischen Verteilung der Extremwerte wie z. B. Hitzeperioden, Starkregen, Sturmböen äußern. Der zentrale Punkt der Anpassungsstrategie ist die Risikoanalyse wichtiger Güter- und Transitverkehrsachsen unter Einbeziehung von Seehäfen. Das Ziel dieses Projektes ist die Identifikation, Analyse und Bewertung der Risiken aus den projizierten Klimaänderungen für ausgewählte Streckenabschnitte im deutschen Teil des TEN-T (Transeuropäisches Netz Transport) in Anlehnung an die im ERA-NET ROAD Projekt RIMAROCC entwickelte Methodik. Hierfür werden für die relevanten meteorologischen Parameter Grenzwerte ermittelt, bei deren Überschreitung es für die Elemente der Straßenverkehrsinfrastruktur aus den Bereichen Erdbau, Entwässerung, Straßenbefestigungen, Ingenieurbau und Verkehrstechnik problematisch bzw. kritisch werden kann. Dabei werden nicht nur nach aktuellen Stand der Technik gefertigte Abschnitte des Straßennetzes betrachtet, sondern auch solche älterer Bauweisen und deren Vorkommen im Netz. Über die Fusion der Straßennetzdaten mit regionalisierten Klimaprojektionen werden schließlich die Lokalitäten mit prioritärem Anpassungsbedarf ermittelt. Anschließend werden für die identifizierten Risikobereiche erforderliche Anpassungsmaßnahmen entwickelt, erprobt und hinsichtlich ihrer Wirksamkeit bewertet. Da im Fokus die kostenintensiven Elemente der Straßenverkehrsinfrastruktur mit langer Nutzungsdauer wie Brücken und Straßengründungen stehen, müssen Anpassungsmaßnahmen bereits bei zeitnah anstehenden Erneuerungsarbeiten erfolgen, um die Folgenkosten der Klimaänderung zu senken. Das derzeit laufende Projekt "Risikoanalyse wichtiger Güter- und Transitverkehrsachsen unter Einbeziehung von Seehäfen" stellt eine erste Annäherung an den Aufbau eines Risikomanagements dar. Die hierbei verwendete RIMAROCC-Methodik muss dazu erweitert, weiterentwickelt und validiert werden. Erst dann kann die Risikoanalyse auf Netzebene durchgeführt und die erforderlichen Anpassungsprogramme aufgestellt werden.
Nowadays human-created systems are increasing in complexity due to the interaction of humans and technology. Especially road traffic systems are composed of multitudinous resources (e.g. personnel, vehicles, organizations, etc.), which make it even harder to anticipate the positive and negative effects on safety. One key in achieving a significant reduction of fatalities is seen in driver assistant systems counterbalancing the lack of drivers' capabilities. But the actual outcome of implementing these sophisticated technologies especially on influencing driver's capabilities are yet unknown. Latest research exemplifies an increase of reaction times of drivers in case of dysfunctional driver assistant systems. This research paper applies STAMP/STPA (STAMP = systems-theoretic accident model and processes; STPA = systems-theoretic process analysis) to the German automobile traffic system focusing on the effects of driver assistant systems on drivers. By doing so, the potential hazards caused by technology can be identified.
A concept for Safe-Driving-Trainings with a focus on risky behavior and safety related attitudes has been evaluated. 519 participants have been tested before and after the training by means of a questionnaire with the topics: technical driving competence, awareness of risks, and propensity for anticipation. A control group (131 subjects) was used to check for the possibility of response artifacts. Three months later, 92 members of the treatment group and 25 members of the control group have been tested again. The results show significant positive changes in driving competence, risk awareness, and safety related attitudes, especially anticipation, due to the training. Compared to the control group the participants have become more risk aware and they regard of risk avoiding behavior as more important. The results show that this concept for Safe-Driving-Trainings has not only short-term but, more importantly, long-term positive effects on the safety-relevant attitudes and cognitions of young drivers.