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Causation patterns and data collection blind spots for fatal intersection accidents in Norway
(2010)
Norwegian fatal intersection accidents from the years 2005-2007 were analysed to identify any causation patterns among their underlying contributing factors, and also to evaluate whether the data collection and documentation procedures used by the Norwegian in-depth investigation teams produces the information necessary to perform causation pattern analysis. A total of 28 fatal accidents were analysed. Details on crash contributing factors for each driver in each crash were first coded using the Driving Reliability and Error Analysis Method (DREAM), and then aggregated based on whether the driver was going straight or turning. Analysis results indicate that turning drivers to a large extent are faced with perception difficulties and unexpected behaviour from the primary conflict vehicle, while at the same time trying to negotiate a demanding traffic situation. Drivers going straight on the other hand have less perception difficulties. Instead, their main problem is that they largely expect turning drivers to yield. When this assumption is violated, they are either slow to react or do not react at all. Contributing factors often pointed to in literature, e.g. high speed, drugs and/or alcohol and inadequate driver training, played a role in 12 of 28 accidents. While this confirms their prevalence, it also indicates that most drivers end up in these situations due to combinations of less auspicious contributing factors. In terms of data collection and documentation, information on blunt end factors (those more distant in time/space, yet important for the development of events) was more limited than information on sharp end factors (those close in time/space to the crash). A possible explanation is that analysts may view some blunt end factors as event circumstances rather than contributing factors in themselves, and therefore do not report them. There was also an asymmetry in terms of reported obstructions to view due to signposts and vegetation. While frequently reported as contributing for turning drivers, they were rarely reported as contributing for their counterparts in the same accidents. This probably reflects an involuntary focus of the analyst on identifying contributing factors for the driver legally held liable, while less attention is paid to the driver judged not at fault. Since who to blame often is irrelevant from a countermeasure development point of view, this underlying investigator mindset needs addressing to avoid future bias in crash investigation reports.
Ziel des vorliegenden Forschungsprojekts war die Quantifizierung von staubedingten Reisezeitverlusten im Jahr 2000, die auf infrastrukturbedingte Kapazitätsengpässe einschließlich Verkehrsunfällen und Pannen zurückzuführen sind. Zusammen mit den Ergebnissen der "Quantifizierung staubedingter Reisezeitverluste auf Autobahnen - Störungsursache: Arbeitsstellen" konnte Aufschluss darüber gegeben werden, wie sich die Reisezeitverluste auf Bundesautobahnen anteilsmäßig und in ihrer Größenordnung auf die genannten Störungsursachen aufteilen. Hierzu wurden im ersten Teil der Arbeit methodisch folgende Aspekte behandelt: - Aufbau eines Autobahnnetzmodells; - Modellierung der Verkehrsnachfrage; - Modellierung der Kapazität; - Staumodellierung und Ermittlung der Reisezeitverluste. Im zweiten Teil der Arbeit wurden die Ergebnisse der Verlustzeitberechnung für das Bezugsjahr 2000 ausführlich dokumentiert. In Sensitivitätsanalysen wurde die Stabilität der Berechnungsergebnisse hinsichtlich der Veränderung einzelner Eingangsdaten bestimmt. Dabei kommt der Modellierung der Verlagerung der Verkehrsnachfrage bei vorhandener Überlastung eine herausragende Bedeutung zu. Ohne Berücksichtigung dieser Verlagerung werden unplausible Werte berechnet, wobei die ermittelten Reisezeitverluste um ein Vielfaches höher als mit Berücksichtigung dieses Effekts liegen. Da zum Ausmaß der Verlagerung bislang keine Untersuchungen vorliegen, ist die Modellierung an dieser Stelle mit großen Unsicherheiten behaftet. In einer Gesamtbetrachtung wurden staubedingte Zeitverluste im Autobahnnetz für das Bezugsjahr 2000 zu insgesamt 234 Millionen Stunden und mit folgenden Anteilen abgeschätzt: Infrastrukturbedingte Engpässe 39%, Unfälle und Nothalte 26%, Arbeitsstellen 35%.
Accident data shows that the vast majority of pedestrian accidents involve a passenger car. A refined method for estimating the potential effectiveness of a technology designed to support the car driver in mitigating or avoiding pedestrian accidents is presented. The basis of the benefit prediction method consists of accident scenario information for pedestrian-passenger car accidents from GIDAS, including vehicle and pedestrian velocities. These real world pedestrian accidents were first reconstructed and the system effectiveness was determined by comparing injury outcome with and without the functionality enabled for each accident. The predictions from Volvo Cars" general Benefit Estimation Model are refined by including the actual system algorithm and sensing models for a relevant car in the simulation environment. The feasibility of the method is proven by a case study on a authentic technology; the Auto Brake functionality in Collision Warning with Full Auto Brake and Pedestrian Detection (CWAB-PD). Assuming the system is adopted by all vehicles, the Case Study indicates a 24% reduction in pedestrian fatalities for crashes where the pedestrians were struck by the front of a passenger car.
The evaluation of the expected benefit of active safety systems or even ideas of future systems is challenging because this has to be done prospectively. Beside acceptance, the predicted real-world benefit of active safety systems is one of the most important and interesting measures. Therefore, appropriate methods should be used that meet the requirements concerning representativeness, robustness and accuracy. The paper presents the development of a methodology for the assessment of current and future vehicle safety systems. The variety of systems requires several tools and methods and thus, a common tool box was created. This toolbox consists of different levels, regarding different aspects like data sources, scenarios, representativeness, measures like pre-crash-simulations, automated crash computation, single-case-analyses or driving simulator studies. Finally, the benefit of the system(s) is calculated, e.g. by using injury risk functions; giving the number of avoided/mitigated accidents, the reduction of injured or killed persons or the decrease of economic costs.
Analysis of the accident scenario of powered two-wheelers on the basis of real-world accidents
(2013)
For the first time since 20 years the German national statistics of traffic accidents revealed an increasing number of fatalities and seriously injured persons in 2011. This negative development was especially caused by increasing numbers in all groups of vulnerable road users (VRU). Furthermore, the comparison of fatality reduction rates between several categories of road users shows that persons on motorcycles show the worst performance over years. Although every second fatality in German traffic accidents is still a car occupant, users of PTW make up more than 20% in the meantime. Assuming further improvements in the field of occupant protection this trend will continue. For that reason, a study on the basis of real-world accidents was conducted to describe the accident scenario involving motorcycles and to identify the reasons of the above-described fact. Approximately 1.800 motorcycle accidents out of GIDAS database were used for the analyses. The first part of the study deals with the question how representative the GIDAS database is for the German motorcycle accident scenario. Afterwards, detailed descriptive statistics on motorcycle accidents were presented considering numerous parameters about the accident scene, environmental influences, vehicle information, individual characteristics, interview data, injury severity and injury causation. One important point is the identification of the most frequent critical situations that are typical for motorcycle accidents. Furthermore, a special focus was on accident causation. Finally, conspicuous facts out of the analysis are emphasized. All in all, the study gives a comprehensive overview about the German motorcycle accident scenario. One the one hand, the use of weighted GIDAS data allows representative and robust statements on the basis of large case numbers; on the other hand highly detailed conclusions can be drawn. The results of the study help to understand the particularities of motorcycle accidents and provide approaches for further improvements in the field of PTW safety.
The paper presents a methodology for the benefit estimation of several secondary safety systems for pedestrians, using the exceptional data depth of GIDAS. A total of 667 frontal pedestrian accidents up to 40kph and more than 500 AIS2+ injuries have been considered. In addition to the severity, affected body region, exact impact point on the vehicle, and the causing part of every injury, the related Euro NCAP test zone was determined. One results of the study is a detailed impact distribution for AIS2+ injuries across the vehicle front. It can be stated, how often a test zone or vehicle part is hit by pedestrians in frontal accidents and which role the ground impact plays. Basing on that, different secondary safety measures can be evaluated by an injury shift method concerning their real world effectiveness. As an example, measures concerning the Euro NCAP pedestrian rating tests have been evaluated. It was analysed which Euro NCAP test zones are the most effective ones. In addition, real test results have been evaluated. Using the presented methodology, other secondary safety like the active bonnet (pop-up bonnet) or a pedestrian airbag measures can be evaluated.
The declining trend since 1991 in the number of killed people was broken in 2011 when overall 4 009 people died in traffic accidents in Germany. The question arises if there is a stagnating trend of fatalities in Germany in future? By breaking down the accidents with casualties towards a monthly view one can see a decreasing trend of fatalities in the warmer months especially since 2009. When comparing against winter months higher deviations are observed. In December 2011 an increase of 191 traffic deaths were registered (181 in 2010 compared to 372 in 2011). Further analyses of different accident influences were evaluated and their possibility of drastic change from one year to the other was determined. As seen weather- and environmental conditions are one of the major contributing factors and are one of the causes for the increased number of fatalities. To support the underlying assumption a model had been created to calculate the number of traffic deaths on a daily basis approach. As an input, road conditions projected through weather parameters and also different driving behaviors on weekdays or holidays were used. As a result, estimates of daily fatality with up to 75% precision can be achieved out of the 2009, 2010 and 2011 data. Further on it shows that weather and street conditions have a high influence on the overall resulting number of traffic accidents with casualties, and especially to the number of fatalities. Hence it is estimated that approximately 3 300 people were killed in traffic accidents in Germany in 2013 which would be again a reduction of another 13% compared to 2012. Therefore an answer to the question will be that the decreasing trend in traffic fatalities in Germany somehow is not broken when environmental conditions are included in national statistics. Their effects will become more visible in future accident statistics and it is estimated variances of 5% to 8% of the annual number of traffic fatalities in Germany will be seen.
Aus der Gegenüberstellung der in England und in Deutschland ermittelten Kenngrößen konnten Vermutungen beziehungsweise Tendenzen bezüglich der Verhaltensweisen abgeleitet werden. Die durch die ermittelten Daten fundierten Aussagen lassen sich wie folgt zusammenfassen: - Die deutschen Fahrer nutzen im Mittel kleinere Zeitlücken beziehungsweise Zeitdifferenzen zum Einfahren in den Hauptstrom als die englischen Fahrer, weshalb ein riskanteres Verhalten vermutet werden kann. - Auf deutschen Landstraßen scheint schneller gefahren zu werden als auf englischen Landstraßen. - Die deutschen Fahrer nähern sich im Nebenstrom dem Knoten mit höherer Geschwindigkeit als die englischen Fahrer, was ebenfalls auf eine größere Risikobereitschaft oder sogar größere Aggressivität schließen läßt. Bezüglich des Unfallgeschehens lässt sich daher vermuten, dass in Deutschland durch riskanteres Einfahren in die Hauptstraße die Unfallzahl, und durch höhere Geschwindigkeiten die Unfallschwere erhöht werden. Es lässt sich weiter vermuten, dass die englische Fahrweise, da sich die Fahrer langsamer der Einmündung nähern, defensiver ist, woraus sich günstige Auswirkungen auf das Unfallgeschehen ergeben. In dieser Studie wurden am Beispiel der Einmündung die Probleme solcher Messungen und Vergleiche aufgezeigt und versucht, die Risikoakzeptanz messtechnisch zu quantifizieren; anhand der Ergebnisse konnte dabei generell ein etwas riskanteres Verhalten der deutschen Fahrer festgestellt werden. Die Aussagen beziehen sich dabei natürlich zunächst nur auf die den Messungen zugrundeliegenden Einmündungen. Um allgemeingültige Aussagen zum Verhalten der Verkehrsteilnehmer zu erhalten, bedarf es weiterführender Untersuchungen, in die weitere typische Verkehrssituationen mit entsprechenden Aufgaben für die Verkehrsteilnehmer aufgenommen werden.
Annually within the European Union, there are over 50,000 road accident fatalities and 2 million other casualties, of which the majority are either the occupants of cars or other road users in collision with a car. The European Commission now has competency for vehicle-based injury countermeasures through the Whole Vehicle Type Approval system. As a result, the Commission has recognised that casualty reduction strategies must be based on a full understanding of the real-world need under European conditions and that the effectiveness of vehicle countermeasures must be properly evaluated. The PENDANT study commenced in January 2003 in order to explore the possibility of developing a co-ordinated set of targeted, in-depth crash data resources to support European Union vehicle and road safety policy. Three main work activity areas (Work Packages) commenced to provide these resources. This paper describes some of the outcomes of Work Package 2 (WP2, In-depth Crash Investigations and Data Analysis). In WP2, some 1,100 investigations of crashes involving injured car occupants were conducted in eight EU countries to a common protocol based on that developed in the STAIRS programme. This paper describes the purposes, methodology and results of WP2. It is expected that the results will be used as a co-ordinated system to inform European vehicle safety policy in a systematic, integrated manner. Furthermore, the results of the data analyses will be exploited further to provide new directions to develop injury countermeasures and regulations.
Interaction of road environment, vehicle and human factors in the causation of pedestrian accidents
(2005)
The UK On-the-Spot project (OTS) completed over 1500 in-depth investigations of road accidents during 2000-2003 and is continuing for a further 3 years. Cases were sampled from two regions of England using rotating shifts to cover all days of the week and all hours of the day and night. Research teams were dispatched to accidents notified to police during the shifts; arrival time to the scene of the accident was generally less than 20 minutes. The methodology of OTS includes sophisticated systems for describing accident causation and the interaction of road, vehicle and human factors. The purpose of this paper is to describe and illustrate these systems by reference to pedestrian accidents. This type of analysis is intended to provide an insight into how and why pedestrian accidents occur in order to assist the development of effective road, vehicle and behavioural countermeasures.