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The fact that ADAC Air Rescue handles approximately 4,000 road accident missions every year gave rise to set up an accident research programme for which ADAC Air Rescue provides its data. This data is of initial informational quality and will be supplemented by data from the police, experts, fire brigades as well as hospitals and forensic institutes. Although the number of cases is still rather low, certain tendencies can be identified. The causes for most accidents occur when joining or intersecting traffic, followed by speeding in road bends and tailgating. Many accidents involve HGV rear end collisions, often causing serious injuries, considerable damage and technical problems for the rescue operations. With regard to the various impact types, it has become obvious that most of the extremely serious injuries are inflicted during a passenger car side impact. In addition, access to and removal of trapped passengers is becoming more and more complicated, partly due to the increasing use of high-strength materials, and rescue operations tend to be more time consuming.
In recent years special attention has been paid to reducing the number of fatalities resulting from road traffic accidents. The ambitious target to cut in half the number of road users who are killed each year by 2010 compared with the 2001 figures, as set out in the European White Paper "European Transport Policy for 2010: Time to Decide" implies a general approach covering all kinds of road users. Much has been achieved, e.g. in relation to the safety of car passengers and pedestrians but PTW accidents still represent a significant proportion of fatal road accidents. More than 6,000 motorcyclists die annually on European roads which amounts to 16% of the EU-15 road fatalities. The European Commission therefore launched in 2004 a Sub- Project dealing with motorcycle accidents within an Integrated Project called APROSYS (Advanced PROtection SYStems) forming part of the 6th Framework Programme. In a first step, the combined national statistical data collections of Germany, Italy, the Netherlands and Spain were analysed. Amongst other things parameters like accident location, road conditions, road alignment and injury severity have been explored. The main focus of the analysis was on serious and fatal motorcycle accidents and the results showed similar trends in all four countries. From these results 7 accident scenarios were selected for further investigation via such in-depth databases as the DEKRA database, the GIDAS 2002 database, the COST 327 database and the Dutch element of the MAIDS database. Three tasks, namely the study of PTW collisions with passenger cars, PTW accidents involving road infrastructure features, and motorcyclist protective devices have been assessed and these will concentrate inter alia on accident causes, rider kinematics and injury patterns. A detailed literature review together with the findings of the in-depths database analysis is presented in the paper. Conclusions are drawn and the further stages of the project are highlighted.
Empirical vehicle crashworthiness studies are usually based on national or in-depth traffic accident surveys: Data on accident-involved cars/drivers are analysed in order to quantify the chance of driver injury and to assess certain risk factors like car make and model. As the cars/drivers involved in the same accident form a "cluster", where the size of the cluster equals the number of accident-involved parties, traffic accident survey data are typical multi-level data with accidents as first-level or primary and cars/drivers as secondlevel or secondary units (car occupants in general are to be considered as third level units). Consequently, appropriate statistical multi-level models are to be used for driver injury risk estimation purposes as these models properly account for the cluster structure of traffic accident survey data. In recent years various types of regression models for clustered data have been developed in the statistical sciences. This paper presents multi-level statistical models, which are generally applicable for vehicle crashworthiness assessment in the sense that data on single and multiple car crashes can be analysed simultaneously. As a special case of multi-level modelling driver injury risk estimation based on paired-by-collision car/driver data is considered. It is demonstrated that assessment results may be seriously biased, if the cluster structure inherent in traffic accident survey data is erroneously ignored in the data analysis stage.
Internationally, the need is expressed for harmonized traffic accident data collection (PSN, PENDANT, etc.). Together with this effort of harmonization, traffic accident investigation moves more and more in the direction of accident causation. As current methods only partly address these needs, a new method was set up. The main characteristics of this method are: • Accident/injury causation (associated) factors can objectively be identified and quantified, by comparison with exposure information from a normal population. • All relevant accident and exposure data can be included: human-, vehicle-, and environmental related data for the pre-crash, crash and postcrash situation (the so-called Haddon matrix). The level of detail can be chosen depending on interest and/or budget, which makes the method very flexible. In this paper the accident collection and control group method are presented, including some of the achieved results from a pilot study on 30 truck accidents and 30 control locations. The data were analyzed by using cross-tabulations and classification-tree analysis. The method proved useful for the identification of statistically significant causational aspects.
During the last 5 years, the number of cars fitted with side airbags has dramatically increased. They are now standard equipment, even on many smaller cars or less luxurious vehicles. While some side airbags offer thoracic protection alone, there are those that combine thoracic and head protection (of which most deploy from the seat). Other systems employ separate airbags for head and thorax protection, which are designed to be effective noticeably in a crash against a pole. This paper proposes an evaluation of the effectiveness of side airbags in preventing thoracic injuries to passenger car occupants involved in side crashes. First, the target population (who can take benefit of side airbag deployment and in what circumstances) is defined. Side airbags can be especially effective in cases of impacts on the door with intrusion at a certain impact speed. Then, an example case of a side impact with side airbag deployment is given were side airbag deployment is thought to have had a positive effect on injury outcome. A further case is presented where the impact configuration is likely to have reduced the effect of side airbag deployment on injury outcome. Finally, the estimation of side airbag effectiveness (in terms of additional occupant protection brought exclusively by the airbag) is proposed by comparing injury risk sustained by occupants in (more or less) similar cars (fitted or non fitted with airbags) because, during these years, car structure, and side airbag conception have considerably evolved. In-depth accident data from France, the UK and Germany has been collected. Out of 2,035 side impact accident cases available in the databases, we selected 435 occupants of passenger cars (built from 1998 onwards) involved in an injury accident between year 1998 and year 2004 for EES (Energy Equivalent Speed) values between 20km/h and 50km/h. The occupants, belted or not, were sat on the struck side, whatever the obstacle and type of accidents (intersection, loss of control, etc.). For multiple impact crashes, the side impact is assumed to be the more severe one. Passenger cars were fitted with (96) or without (339) side airbags. Most of the potential risk explanatory variables were correctly and reliably reported in the databases (velocity " impact zone " impact angle " occupant characteristics, etc.). The analysis compared injury risks for different levels of EES and different types of side airbags. A logistic regression model was also computed with injury variables (such as thoracic AIS 2+ or AIS 3+) as the dependant variable and other variables (including airbag type and EES) as explanatory injury risk factors. Results revealed statistically non-significant reductions in thoracic AIS 2+ and AIS 3+ injury risk in side airbag equipped cars in the impact violence range selected (odds ratio between 0.84 and 0.98 depending on types of airbags). The results are discussed. The non-significance is assumed to be due to a low number of cases. Statistical analysis for head injuries was not possible due to the low number of accident cases with passenger cars fitted with head airbags in the databases. Moreover, the discrepancies between the data coming from different countries (especially calculation of EES) might have introduced instability in the analysis.
In Germany, in-depth accident investigations are carried out in the Hannover area since 1973. In 1999 a second region was added with surveys in Dresden and the surrounding area. Internationally, the acronym GIDAS (German In-Depth Accident Study) is commonly used for these surveys. Compared to many other countries, the sample sizes of the GIDAS surveys are much larger. The goal is to collect 1.000 accidents involving personal injuries per year and region. Data collection takes place by using a sampling procedure, which can be interpreted as a two-stage process with time intervals as primary units and accidents as secondary units. An important question is, to what extend these samples are representative for the target population from which they are drawn. Analyses show, for example, that accidents with persons killed or seriously injured are overrepresented in the samples compared to accidents with slightly injured persons. This means, that these data are subject to biases due to uncontrolled variation of sample inclusion probability. Therefore, appropriate weighting and expansion methods have to be applied in order to adjust or correct for these biases. The contribution describes the statistical and methodological principles underlying the GIDAS surveys with respect to sampling procedure, data collection and expansion. In addition, some suggestions regarding potential improvements of study design are made from a methodological point of view.
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.
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.
76 severe traffic accidents had been investigated in depth in an ongoing Volkswagen-Tongji University joint accident research project in JiaDing district, Shanghai, PR China since June 2005. With a methodology similar to German accident research units in Dresden and Hannover, a research team proceeds to the scene immediately after the incident to investigate and collect various data on environment, accident occurrence, vehicle state and deformations as well as injuries. The data combined with the results of accident reconstruction will be stored in a database for further statistical and casuistic analysis. The first outcome of the project supports the hypothesis that a main causation for the large number of traffic accidents in China is the lacking of risk awareness in Chinese driver behaviour. Low seat-belt use and the high proportion of vulnerable and poorly protected two-wheelers in traffic are reasons for the high injury and fatality rate in China. The research work shows that accident research in China is feasible and able to give support to tackle one of the urging problems in Chinese development.
The "Seven Steps Method" is an analysis and classification system, which describes the human participation factors and their causes in the temporal sequence (from the perceptibility to concrete action errors) taking into consideration the logical sequence of individual basic functions. By means of the "seven steps" it is possible to describe the relevant human causes of accidents from persons involved in the accident in an economic way with a sufficient degree of exactitude, because the causes can be further differentiated in their value (e.g. diversion as external diversion with regard to impact due to surroundings) and their sub values (e.g. external diversion with regard to impact due to surroundings in the shape of a "capture" of the perception by a prominent object of the traffic environment). Theoretically it is possible that one or more causing moments can be assigned to a person involved in an accident in each of the "seven steps"; however it is also possible to sufficiently clarify the cause in only one level (examples for this are described). In the practice of accident investigation at the site of the accident, the sequence chart is also relevant. With its assistance the questioning of the people involved in an accident can be accomplished in a structured way by assigning a set of questions to each step.
The European Union has set a target to reduce all road fatalities (over 40,000) with 50% in 2010. This target percentage remained unchanged with the introduction of the ten new member states within the EU as by May 1st, 2004. According to Eurostat, 34% of all fatalities in 1998 in the, then, fifteen states of the European Union were the result of single vehicle collisions. This represents over 14,000 lives lost each year of which many can likely be saved through better roadside infrastructure design. The challenge for road safety professionals is to find methods and design strategies that help to reduce these casualties. Procedures for full-scale vehicle crash testing of guard rails were first published in the US in 1962. Present European regulation is mainly based on these procedures and later developments. Since then the vehicle fleet has changed considerably. Due to the complexity of the actual safety problem the numerical simulation approach offers a good opportunity to evaluate the different parameters involved in road safety, such as infrastructure properties, vehicle type, vehicle occupants and injuries. The ideal situation would be that simulation tools are coupled or integrated and all involved effects would be related. At the moment this is not the case yet, but initiatives are taken and a new virtual era has started. This paper offers a method looking at two components that encompass the driving environment: the car and the guardrail. As part of the EC-funded project, RISER (Roadside Infrastructure for Safer European Roads) a multi body simulation program study is carried out to determine sensitivities of some parameters in car to guardrail collisions and gives insides in performance of the car with passive safety equipment, the guardrail and the interaction of these objects with each other. By offering a set of methods that includes these two aspects and their intertwining relations, more confidence can be gained in actually reducing fatalities due to single vehicle collisions with, or due to, roadside furniture. Reducing the number of fatalities of single vehicle crashes would contribute greatly to the stated goal of reducing casualties altogether.
Due to recent years accident avoidance and crashworthiness on Austrian roads were mostly developed on national statistics and on-scene investigation respectively. Identification and elimination of black spots were main targets. In fact many fatal accidents do not occur on such black spots and black-spot investigation has reached a limit. New methods are required and therefore the Austrian Road Safety Programme was introduced by the Austrian Ministry of Transport, Innovation and Technology. The primary objective is the reduction of fatalities and severe injuries. Graz University of Technology initiated the project ZEDATU (Zentrale Datenbank tödlicher Unfälle) with the goal to identify similarities in different accident configurations. A matrix was established which categorizes risk and key factors of participating parties. Based on this information countermeasures were worked out.
NASS: the glass is half full
(2007)
The National Accident Sampling System (NASS) was born in the late 1970s. It was based on a substantial amount of experience and analysis of what was needed in the United States to understand the safety challenges of our highways. This work also showed how to collect high quality and useful crash data efficiently. Unfortunately, when Ronald Reagan - a President who believed in limited government - was elected, any hope of full funding for NASS was lost. The concept of 75 teams investigating about 18,000 serious crashes in detail annually was never realized. The system got up to 50 teams, then was cut to 36, and finally to 24 teams investigating fewer than a quarter of the originally anticipated number of crashes per year. Despite this, the NASS investigations provide a rich source of data, collected according to a sophisticated statistical sampling system to facilitate detailed national estimates of road casualties on our nation- highways and their causes. In addition, changes have been made in recent years to increase the number of more serious crashes of recent model vehicles to make the results more relevant to improving vehicle safety. A recent, detailed examination of hundreds of rollovers has provided considerable insight into rollover casualties and into what can be done to reduce them. Some of these results will be presented that show the value of the NASS system. Our experience with NASS and the Fatal Accident Reporting System (FARS) suggests a number of improvements that could be made in the United States" crash data systems. It also provides justification for a doubling or tripling of our national expenditures on crash data collection.
This study aimed to identify the occurrence, type and mechanisms of the traumatic injuries of the vulnerable road users in vehicle collisions, and to determine the effects of human, engineering, and environment factors on traffic accidents and injuries. The pedestrian accident cases were collected in the years 2000 to 2005 from Changsha Wujing hospital China and Accident Research Unit at Medical University Hannover in Germany. A statistic analysis was carried out using the collected accident data. The results from analysis of Changsha data were compared with results from analysis of GIDAS data Hannover. The injury severities were determined using AIS code and ISS values. The results were presented in terms of cause of injuries, injury distributions, injury patterns, injury severity. The factors influenced the injury outcomes were proposed and discussed for the vehicle transport environment and road users. The results were discussed with regard to accident data collection, accident sampling and injury distributions etc. In the urban area of Changsha, motorcycles and passenger cars are most frequently involved in vehicle pedestrian accidents. Head and lower extremities injuries are the predominant types of pedestrian injuries. The pedestrian accidents were identified as vital issue in urban traffic safety and therefore a high priority should be given to this road user group in research of safe urban transportation. In Hannover area, cars are most frequently involved in traffic accidents, injured pedestrians are involved in road traffic of Germany in 13% of all causalities only in 2005 and have nearly the same number as motorcyclists, but the half of bicyclists.
In recent years the boundaries between active and passive safety blurred more and more. Passive safety in the traditional term includes all safety aspects to prevent occupants to be injured or at least injury severity should be reduced. Passive Safety starts with the collision (first vehicle contact) and ends with rescue (open vehicle doors). Within this phase the occupant has to be protected by the passenger compartment whereby no intrusion should occur. Active safety on the other side was developed to interact prior to the collision whereby the goal is to prevent accidents. The extensive interaction between active and passive safety led to the terminologies "Primary" and "Secondary" safety whereas the expression Integrated Safety Concept was generated. Within this study the most well documented single vehicle accidents with cars not equipped with ESP were identified from the PENDANT database and reconstructed. Additional cases were found in the database ZEDATU of TU Graz. In comparison each case was simulated with the assumption that the cars were equipped with ESP. The differences regarding accident avoidance or crash severity as well as reduction of injury risk were analysed.
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.
The accident research project in Dresden was founded in July 1999. To date over 6.000 crash investigations have been undertaken. About 10.000 vehicles have been documented and over 13.000 participants have been debriefed. But there is much more than this scientific success. Because of the interdisciplinary character between the medical and technical focus, the project affords an important contribution for the education of the involved students. Over 200 students of different fields of study have got experiences not only for the occupational career. This lecture describes the additional effects of the accident research project regarding the education of the students, the capacity for teamwork and learning about dealing with accident casualties.
Description of road traffic related knee injuries in published investigations is very heterogeneous. The purpose of this study was to estimate the risk of knee injuries in real world car impacts in Germany focusing vulnerable road users (pedestrians, bicyclists and motorcyclists) and restrained car drivers. The accident research unit analyses technical and medical data collected shortly after the accident at scene. Two different periods (years 1985-1993 and 1995-2003) were compared focusing on knee injuries (Abbreviated Injury Scale (AISKnee) 2/3). In order to determine the influences type of collision, direction and speed as well as the injury pattern and different injury scores (AIS, MAIS, ISS) were examined. 1.794 pedestrians, 742 motorcyclists, 2.728 bicyclists and 1.116 car drivers were extracted. 2% had serious ligamentous or bony injuries in relation to all injured. The risk of injury is higher for twowheelers than for pedestrians, but knee injury severity is higher for the latter group. Overall the current knee injury risk is low and significant reduced comparing both time periods (27%, p<0,0001). Severe injuries (AISKnee 2/3) were below 1%). Improved aerodynamic design of car fronts reduced the risk for severe knee injuries significantly (p=0,0015). Highest risk of injury is for motorcycle followed by pedestrians, respectively. Knee protectors could prevent injuries by reducing local forces. The classically described dashboard injury was rarely identified. The overall injury risk for knee injuries in road traffic is lower than estimated and reduced comparing both periods. The aerodynamic shape of current cars compared to older types reduced the incidence and severity of knee injuries. Further modification and optimization of the interior and exterior design could be a proper measurement. Classic described injury mechanisms were rarely identified. It seems that the AIS is still underestimating extremity injuries and their long term results.
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%.
Mit dem Forschungs- und Entwicklungsvorhaben sollten bestehende Wissenslücken zum Verkehrssicherheitspotenzial an innerörtlichen Haltestellen des straßen- und schienengebundenen öffentlichen Personennahverkehrs geschlossen werden. Untersuchungsgegenstand waren Haltestellen im Linienbus- und Straßenbahnverkehr mit Lage im Straßenraum. Neben einer Auswertung der Straßenverkehrsunfallstatistik des Statistischen Bundesamtes erfolgten vertiefende Unfallanalysen in vier Fallbeispielen (Städte Düsseldorf, Leipzig und Zwickau sowie Landkreis Mayen-Koblenz) als Grundlage für ein Sicherheitsranking relevanter Haltestellentypen, ergänzt um Einzelfallanalysen für ausgewählte Haltestellenbereiche unterschiedlichen Typs. Die Untersuchungen erfolgten jeweils auf der Basis von Unfalldaten aus drei Kalenderjahren. Insgesamt wurden in den vier Fallbeispielen rund 2.550 Teilhaltestellen unterschiedlichen Typs untersucht, davon 1.750 Bushaltestellen, 690 Straßenbahnhaltestellen und 110 kombiniert genutzte Haltestellen. In den Haltestellenbereichen waren in 3 Kalenderjahren rund 770 Unfälle mit Personenschaden zu verzeichnen. Rund 85 Prozent (im Landkreis Mayen-Koblenz 91 Prozent) der Bushaltestellen und 30 Prozent der Straßenbahnhaltestellen wiesen in den untersuchten drei Kalenderjahren keinen Unfall mit Personenschaden auf. Als spezifische Kenngröße für die vergleichende Beurteilung der unterschiedlichen Haltestellenformen wurden haltestellenbezogene Unfallkosten UK zugrunde gelegt, um über die Unfallanzahl hinaus auch die Unfallschwere in die Betrachtungen einzubeziehen. Im vorliegenden Falle wurde diese Kenngröße als UK(P) ermittelt, da nur Unfälle mit Personenschäden in die Untersuchungen einbezogen wurden. Verwendet wurden an die Verunglücktenstruktur angepasste Unfallkostensätze. Quantifizierte Ergebnisse konnten für die Bushaltestellentypen "Bucht" und "Fahrbahnrand/Kap" sowie die Straßenbahnhaltestellentypen "Fahrbahnrand/Kap", "Fahrbahn" (mit den Varianten "StVO" und "Zeitinsel") sowie "Seitenbahnsteig" ermittelt werden. Zusammenfassend konnte festgestellt werden: - Im Vergleich der ÖPNV-Teilsysteme sind Bushaltestellen sicherer als Straßenbahnhaltestellen und kombinierte Haltestellen. - Im Vergleich der Haltestellentypen sind Haltestellen am Fahrbahnrand (einschließlich Kaplösungen) am sichersten, gefolgt vom Typ "Bucht" und den beiden auf das ÖPNV-Teilsystem Straßenbahn bezogenen Haltestellentypen "Fahrbahn" und "Seitenbahnsteig". - Bezogen auf das ÖPNV-Teilsystem Bus schneidet der Haltestellentyp "Bucht" deutlich ungünstiger ab als der Typ "Fahrbahnrand/ Kap". - Bezogen auf das ÖPNV-Teilsystem Straßenbahn schneidet der Haltestellentyp "Fahrbahnrand/Kap" am günstigsten ab, gefolgt vom Typ "Fahrbahn". Am ungünstigsten sind die Werte für den Typ "Seitenbahnsteig". - In Bezug auf den Straßenbahnhaltestellentyp "Fahrbahn" ergaben die Ergebnisse zu den beiden Varianten "Fahrbahn, StVO" und "Fahrbahn, Zeitinsel" deutliche Unterschiede. Sowohl bei den spezifischen Unfallkosten als auch in Bezug auf die mittlere jährliche Unfallanzahl pro Teilhaltestelle und die mittleren Unfallkosten von Unfällen mit Personenschaden im Haltestellenbereich ergab die Variante "Zeitinsel" ungünstigere Werte als die Variante "StVO". Empfohlen wird insbesondere: - die Priorisierung des Typs "Fahrbahnrand/Kap" als Standardlösung für Bushaltestellen (VwV-StVO), - eine Neubewertung des Typs "Fahrbahn" und hier wiederum der Variante "StVO" in VwV-StVO und Regelwerken mit dem Ziel einer Priorisierung dieses Typs gegenüber dem Typ "Seitenbahnsteig" (bei vergleichbaren Rahmenbedingungen) sowie der Variante "StVO" gegenüber der Variante "Zeitinsel", die Konkretisierung und Weiterentwicklung der Einsatzkriterien für Zeitinseln sowie - eine verstärkte Berücksichtigung der Verkehrssicherheit von im Haltestellenbereich die Fahrbahn querenden Fußgängern.
Im Rahmen des Projektes sollte ein Hilfsmittel für Planer entwickelt werden, mit dem zum einen schon in der Planungsphase potenziell kritische Streckenabschnitte für Motorradfahrer identifiziert werden und zum anderen passende Maßnahmen zum Schutz der Motorradfahrer ausgewählt werden können. Hierzu galt es Kriterien zu analysieren, die an Streckenabschnitten ein erhöhtes Unfallpotenzial für Motorradfahrer darstellen. Für diese Analyse konnte auf die Daten des digitalen Straßennetzes sowie der digitalen Unfalldatei des Landes Rheinland-Pfalz zurückgegriffen werden. Mit den Daten wurden drei verschiedenen Auswertungen durchgeführt: 1) Alle Unfälle mit Motorradbeteiligung sind einer allgemeinen Auswertung unterzogen worden. Dabei wurden nur die Kriterien analysiert, die bei der polizeilichen Unfallaufnahme erfasst werden. 2) Als nächstes wurden die fahrbahngeometrischen Gegebenheiten an der Unfallstelle und in definierten Bereichen davor untersucht. Dies mit dem Ziel, einen Zusammenhang zwischen dem Streckenverlauf vor der Unfallstelle und dem Ort des Unfallgeschehens herzuleiten. 3) Als letztes wurden die Daten für die Streckenabschnitte in denen sich die Unfälle ereignet haben analysiert und mit Vergleichsdaten von Strecken ohne Unfallauffälligkeiten verglichen. Diese Vergleichsuntersuchung lieferte die wesentlichen Ergebnisse des Projektes. Es konnte abgeleitet werden, dass Streckenabschnitte, welche: a) eine Kurvigkeit über den gesamten Abschnitt > 200 gon/km und b) maximal 15 Änderungen des Streckenverlaufs pro km und c) einen Geradenanteil von maximal 50% und d) eine Länge von über 2,0 km aufweisen, ein besonders erhöhtes Risikopotenzial für Motorradfahrer im Vergleich zum durchschnittlichen Gefährdungspotenzial der Vergleichsstrecken in sich bergen. Basierend auf den Ergebnissen wurde für Planer eine Vorgehensweise entwickelt, mit der das Unfallpotenzial eines Streckenabschnittes bewertet werden kann und darauf aufbauend anhand von verschiedenen Auswahlkriterien Maßnahmen zum Schutz der Motorradfahrer gewählt werden können.