Im von der DG Home (CIPS Program) geförderten Projekt "SecMan " Security Manual for Road Infrastructures" wurde ein vierstufiges Verfahren zur Identifikation kritischer Straßeninfrastrukturen, ihre Bewertung hinsichtlich diverser von Menschen verursachter Gefahren sowie die Bestimmung effektiver Schutzmaßnahmen entwickelt. Diese Ergebnisse wurden in einem ganzheitlichen "best-practice" Handbuch zusammen getragen, welches einen trans-nationalen Sicherheitsmanagement-Ansatz für Betreiber und Eigentümer von Straßeninfrastrukturen in Europa ermöglicht. Im Folgenden wird die entwickelte Methodik vorgestellt, ausgehend von der Bewertung der Netzkritikalität über die Attraktivität und Vulnerabilität eines Bauwerks hin zu einer Bewertungsmethodik für die Auswahl geeigneter Schutzmaßnahmen.
Um die Sicherheit der Straßentunnel zu gewährleisten, werden mehr als 400 m lange Tunnel ständig durch eine Tunnelleitzentrale überwacht. Die dort eingehende Flut von Einzelinformationen, wie Kamerabilder und zahlreiche Sensordaten, muss permanent durch das Personal erfasst und beurteilt werden. Das Projekt ESIMAS (Echtzeit-Sicherheits-Management-System für Straßentunnel) wird neue Wege aufzeigen, um die Leitstellenmitarbeiter zu unterstützen. Auf Grundlage der Datenanalyse und -bewertung von ESIMAS können zukünftig sicherheitsrelevante Ereignisse, wie ein Brand im Tunnel, zuverlässig und rechtzeitig erkannt werden. Im Ernstfall soll ESIMAS dem Leitzentralenpersonal sowie den Einsatz- und Rettungsdiensten Handlungsempfehlungen zur Ereignisbewältigung zur Verfügung stellen. Auf Basis dieser Handlungsempfehlungen können Maßnahmen schnellstmöglich und gezielt durchgeführt werden. Der innovative Ansatz von ESIMAS besteht in der ganzheitlichen Betrachtung aller Einzelinformationen und ihrer automatischen Auswertung und Bewertung. Hierdurch ist eine schnellere Reaktion der Leitstelle zum Schutz der Verkehrsteilnehmer möglich.
Das Symposium umfasste folgende Beiträge: Who is afraid of more bicycle use? (Dijkstra,A); Safety of main roads in built-up-areas (Huber,CA); Safety of rural roads (Hehlen,P); Behavioural adaptation to vehicle design (Pfafferott,I); Adaptation to safety measures: there is still a lot to do (Levelt,PBM); Using sociological data to define target groups the speed limit's case (Barjonet,P); Definition of target groups for safety campaigns (Michalik,C); Influence speed choise (Clough,WS); Automatic speed management systems: great safety potential? (Oei,HL); Road accident risk factors in childhood and adolescence (Assailly,JP); What makes the young driver risky? (Hatakka,M); Influencing young driver's attitude by short-term reduction in traffic-risk factors (Johansen,HJ); Border crossing traffic and traffic safety (Elsner,A); Border-crossing traffic and security (Lukaschek,H); Enhancing police road accident data with information from other sources: the role of hospital data (Hopkin,JM); Exposure of unprotected road users (Thulin,H); Misuse of restraint systems for childs and adults (Wenaell,J); Emergency medical services systems (EMMS) and the care of traffic casualities in the Federal Republic of Germany (Kuehner,R).
Radfahren - aber sicher!
(1989)
Bei der Veranstaltung, die am 16. und 17. November 1987 zu dem Thema "Radfahren - aber sicher!" in Wiesbaden stattfand, ging es darum, dem Sicherheitsbedürfnis des zunehmenden Radfahrverkehrs in der Bundesrepublik Deutschland gerecht zu werden, andererseits aber auch das nicht unproblematische Verhältnis zwischen der Radfahrerpopulation auf der einen und den übrigen Verkehrsteilnehmergruppen auf der anderen Seite auszuleuchten. In der jüngeren Vergangenheit wurden Klagen geäußert wie etwa die, dass sich die Radfahrer ihr eigenes Gesetz schafften. Von den Betroffenen wird dagegengehalten, dass die den Straßenverkehr betreffenden Gesetze und Verordnungen aus dem Blickwinkel des Kraftfahrers heraus gemacht worden seien und ein Verstoß dagegen für Radfahrer oft die naheliegendste Möglichkeit sei, einer Selbstgefährdung zu entgehen. Aus diesem Grunde wurde die Thematik in dem von der Deutschen Verkehrswacht gemeinsam mit der Bundesanstalt für Straßenwesen (BASt) und dem Bundesverkehrsministerium durchgeführten Symposium aus unterschiedlichster Sicht angesprochen. Vertreten war sowohl die Unfallforschung, die Straßenplanung, die Fahrzeugtechnik und die Polizei wie auch die Interessenvertreter der Rad- und der Autofahrer. Von vornherein war klar, dass ein Symposium dieser Art nicht dazu angetan sein konnte, "Patentlösungen" zu erarbeiten. Ziel der Veranstaltung war es vielmehr, das gegenseitige Verständnis der unterschiedlichen Verkehrsteilnehmergruppen füreinander zu wecken bzw. zu fördern. Dabei wurde deutlich, dass auch die Problematik des "Rollenwechsels" keineswegs frei von Schwierigkeiten ist: Das Verhalten des möglicherweise überwiegenden Teils der Verkehrsteilnehmer ist nicht so sehr an einem Grundwissen und ein Grundverhalten gebunden, als vielmehr von der Art der jeweiligen Verkehrsteilnahme abhängig.
This study aimed at prediction of long bone fractures and assessment of lower extremity injury mechanisms in real world passenger car to pedestrian collision. For this purpose, two pedestrian accident cases with detail recorded lower limb injuries were reconstructed via combining MBS (Multi-body system) and FE (Finite element) methods. The code of PC Crash was used to determine the boundary conditions before collision, and then MBS models were used to reproduce the pedestrian kinematics and injuries during crash. Furthermore, a validated lower limb FE model was chosen to conduct reconstruction of injuries and prediction of long bone fracture via physical parameters of von Mises stress and bending moment. The injury outcomes from simulations were compared with hospital recorded injury data and the same long bone fracture patterns and positions can be observed. Moreover, the calculated long bone fracture tolerance corresponded to the outcome from cadaver tests. The result shows that FE model is capable to reproduce the dynamic injury process and is an effective tool to predict the risk of long bone fractures.
Cycling supports the independence and health of the aging population. However, elderly cyclists have an increased injury risk. The majority of injured cyclists is victim of a single-sided accident, an accident in which there is no other party involved. The aim of the project "Safe and Aware on the bicycle" is to develop guidelines for an advisory system that is useful in preventing single-sided accidents. This system is able to support the elderly cyclist; enabling the cyclist to timely adapt his cycling behaviour and improve cycling safety and comfort. For the development of such advisory system the causes of singles accidents and the wishes of the elderly cyclist must be known. First step to obtain this insight was a literature survey and an GIDAS research. Unfortunately accidentology research with GIDAS did not give the full understanding of the pre-crash situations and (especially the behaviour related) factors leading to the accident. The second step was consultation of elderly cyclist through a questionnaire (n=800), in-depth interviews (n=12) and focus group sessions (n=15). This offered complementary information and a much better understanding of the behavioural aspects. Results concern the behaviour in traffic and identify specific physical (i.e. problems looking backwards over the shoulder) and mental issues. Furthermore, the needs and wishes for support in specific cycling situations were identified. In conclusion; The GIDAS results together with the information obtained contacting the elderly cyclists enabled setting up requirements for an advisory system, which is useful in preventing single-sided accidents.
Since a number of human models have been developed it appears sensible to use these models also in the accident analysis. Especially the understanding of injury mechanisms and probably even injury risk curves can be significantly improved when interesting accidents are reconstructed using human body models. However, an important limitation for utilising human models for accident reconstruction is the effort needed to develop detailed FE models of the accident partners or to prepare the human model reconstruction by running physical accident reconstructions. The proposed approach for using human models for accident reconstruction is to use simplified and parametric car models. These models can be adapted to the crash opponents in a fast and cost effective way. Although, accuracy is less compared to detailed FE models, the relevant change in velocity can be simulated well, indicating that the computation of a detailed crash pulse is not needed. Two frontal impact test accidents that were reconstructed experimentally and using the parametric car models are indicating sufficient correlation of the adapted parametric car models with the full scale crash reconstructions. However, further developments of the parametric models to be capable for the use in lateral impacts and rear impacts are needed. For the PC Crash simulation runs the output sampling rate is too large to allow sufficient analysis. In addition the performance appears to be too general.
This study aimed at developing an injury estimation algorithm for AACN technologies for Germany and compared them to findings based on Japanese data. The data to build and to verify the algorithm was obtained from the German in-depth Accident Database (GIDAS) and split into a training and a validation dataset. Significant input variables and the generalized linear regression model to predict severe injuries (ISS>15) were selected to maximize area under the receiver operating characteristic curve (AUC). Probit regression with the input parameter multiple impact, delta v, seatbelt use and impact direction gave the largest AUC of 0.91. Sensitivity of the algorithm was validated at 90% and specificity at 76% for an injury risk threshold of 2%. It appears that no major differences between Japan and Germany exist for injury estimation based on delta v and impact direction. However, far side impact and multiple crash events appear to be associated with a larger risk increase in the German data.
This study aimed at comparing head Wrap Around Distance (WAD) of Vulnerable Road User (VRU) obtained from the German in-depth Accident Database (GIDAS), the China in-depth Accident Database (CIDAS) and the Japanese in-depth Accident Database (ITARDA micro). Cumulative distribution of WAD of pedestrian and cyclist were obtained for each database (AIS2+) showing that WAD of cyclists were larger than the ones of pedestrians. Comparing three regions, the 50%tile WAD of GIDAS was larger than that of both Asian accident databases. Using linear regression that might predict WAD of pedestrians and cyclists from Impact speed and VRU height, WADs were calculated to be 206cm/219cm (Pedestrian/Cyclist) for GIDAS, 170cm/192cm for CIDAS and 211cm/235cm for ITARDA. In addition, this study may be helpful for reconsideration of WAD measurement alignment between accident reconstruction and test procedures.
Pedestrians represent about 20% of the overall fatalities in Europe- road traffic accidents. In this paper a methodology is proposed to understand why the numbers are so high, especially in the south of Europe and particularly in Portugal, . First a detailed statistical analysis using Ordinal Logistic Regression model (OLR) was applied to the gathered data from all Portuguese accidents with victims in the period 2010-2012. In a second stage accident reconstruction computational techniques using pedestrian biomechanical models are used to evaluate the accident conditions that lead to the injuries, such as the speed and the impact location. For biomechanical injury criterions, the AIS (Abbreviated Injury Scale), the HIC (Head Injury Criterion) and other injury criterions based on the resulting accelerations in the pedestrian's body are used. The statistical model reported that there were several predictors that significantly influenced the pedestrian injury severity in the event of a road accident, such as Pedestrian's age, Pedestrian's gender, Vehicle Design/Category or Driver's gender. The use of injury scales and biomechanical criterions in in-depth investigation of road accidents, such as AIS, can significantly improve the quality of the reconstruction process.