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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%.
Automotive Engineering, Mechanical Engineering and TechnologyrnAbstract: The degrees of injury severity, as a rule injuries scaled by AIS of specific regions of the human body, investigated out of road traffic accidents correspond to the body-specific loading values, which are found out with the aid of experimental or mathematical simulation of crash tests with motor vehicles or with sled tests. The coherence between the injured human being on the one hand and the physical and the theoretical model respectively on the other hand is established by the risk function, which describes the probability of degrees of injury severity in dependence on the protection criteria. Due to the different physical characteristics in the simulation, e.g. accelerations, forces, compressions and their velocity, the compilation of these quantities, comparable to the MAIS, the maximal occurred single AIS obtained in accident analysis is much more difficult in the simulation than in the accident occurrence. Therefore it is obvious to normalize the loading values gained out of simulation and to summarise them to an entire value in a suitable manner, the safety index.rn
There is a need for detecting characteristics of pedestrian movement before car-pedestrian collisions to trigger a fully reversible pedestrian protection system. For this purpose, a pedestrian sensor system has been developed. In order to evaluate the effectiveness of the sensor system, the in-depth knowledge of car-pedestrian impact scenarios is needed. This study aims at the evaluation of the sensor system. The accident data are selected from the STRADA database. The accident scenarios available in this database were evaluated and the knowledge of the most common scenarios was developed in terms of the pedestrian trajectory, the pedestrian speed, the car trajectory, the car velocity, etc. A mathematical model was then established to evaluate the sensor system with different detective angles. It was found that in order to detect all the pedestrians in the most common scenarios on time the sensor detective angle must be kept larger than 60 degrees.
Validation of human pedestrian models using laboratory data as well as accident reconstruction
(2007)
Human pedestrian models have been developed and improved continually. This paper shows the latest stage in development and validation of the multibody pedestrian model released with MADYMO. The biofidelity of the multibody pedestrian model has been verified using a range of full pedestrian-vehicle impact tests with a large range in body sizes (16 male, 2 female, standing height 160-192cm, weight 53.5-90kg). The simulation results were objectively correlated to experimental data. Overall, the model predicted the measured response well. In particular the head impact locations were accurately predicted, indicated by global correlation scores over 90%. The correlation score for the bumper forces and accelerations of various body parts was lower (47-64%), which was largely attributed to the limited information available on the vehicle contact characteristics (stiffness, damping, deformation). Also, the effects of the large range in published leg fracture tolerances on the predicted risk to leg fracture by the pedestrian model were evaluated and compared with experimental results. The validated mid-size male model was scaled to a range of body sizes, including children and a female. Typical applications for the pedestrian models are trend studies to evaluate vehicle front ends and accident reconstructions. Results obtained in several studies show that the pedestrian models match pedestrian throw distances and impact locations observed in real accidents. Larger sets of well documented cases can be used to further validate the models especially for specific populations as for instance children. In addition, these cases will be needed to evaluate the injury predictive capability of human models. Ongoing developments include a so-called facet pedestrian model with a more accurate geometry description and a more humanlike spine and neck and a full FE model allowing more detailed injury analysis.