82 Unfall und Verkehrsinfrastruktur
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.
The role of a national motor vehicle crash causation study-style data set in rollover data analysis
(2010)
On 1 January 2005, The National Highway Traffic Safety Administration, an agency of the United States Department of Transportation, implemented a new data collection strategy designed to assess crash avoidance technologies and report associated behavioral inputs and outcomes. The original goal was a six-year program, however, during the shortened data collection period; it proved a valuable resource for understanding a precrash environment previously obscured by forensic case investigation. Another unintended consequence was an overlap with infrastructure, roadway geometry, and design with the occupant and vehicle outcomes, by virtue of well-defined attributes. External to the collected data, supplementary information was extrapolated, by using manuals published in the United States, by the American Association of State Highway Transportation Officials and selected State Departments of Transportation, in conjunction with the National Motor Vehicle Crash Causation Study (NMVCCS). This provided a backdrop to the infrastructure framework of the rollover problem within which the occupant and vehicle outcomes were studied. If a NMVCCS-style data collection were to be implemented elsewhere, then complementary manuals produced by federal transportation officials might be consulted producing similar relationships. The current study uses NMVCCS data to describe vehicles travelling through diverse design geometries and the outcome for occupants involved in crashes within that system. Codified and extrapolated data form the basis for assessing NMVCCS and its value to the transportation safety community, as the protocols are applicable universally. The benefit in continuing a NMVCCS-style study is noted, as the interaction of roadway infrastructure and occupant protection agencies might find paths to better work together in solving the complex rollover problem using a common data-driven approach.
Adverse weather could impair the performance of many important parts in road transportation. In a tropical country, the threats posed by the weather phenomenon can be viewed from a different perspective as the situation may not be as extreme as snow-related problems or excessive temperature in other countries. Specifically in Malaysia, the situation may be underestimated due to several reasons such as the deficiencies in accident reporting and lack of research work. This background research has looked into various publications as well as related data to explain the need of more comprehensive research in the future.
In Finland all fatal motor vehicle accidents are studied in-depth on-the-spot by multidisciplinary (police, road and vehicle engineers, physician and behavioural scientist) road accident investigation teams (legislation 2001, work started 1968), which operate in every province. The purpose of the teams is to uncover risk factors that turned an ordinary driving situation into a serious accident and give safety recommendations for improving road safety. The investigation teams do not take a stand on guilt or insurance compensation. When analysing accidents the teams use the concepts of key event, immediate, background and injury risk factors. Compiled investigation folders of each case contain investigation forms from each member, preinvestigation protocol, photographs, sketches etc. About 500 items of information are collected from each accident party. The collected information is also coded into a computer database. Both the database and the investigation folders are widely utilized by researchers and authorities conducting safety work.
An die Lichtsignalsteuerung richten sich hohe Qualitätsanforderungen, da ihr für einen sicheren und flüssigen Verkehrsablauf im Straßennetz eine wichtige Rolle zukommt. Um eine hohe Qualität der Lichtsignalsteuerung auch im wachsenden Altbestand von Anlagen zu gewährleisten, liegt es nahe, eine regelmäßige, systematische Überprüfung vorzunehmen, um Mängel frühzeitig erkennen und beheben zu können. Ziel des Forschungsvorhabens war es, eine aufwandsoptimierte Verfahrensweise und die notwendigen Hilfsmittel für ein systematisches Qualitätsmanagement für Lichtsignalanlagen (LSA) zu entwickeln. Hierzu wurde zunächst die Lichtsignalsteuerung als Gegenstand des Qualitätsmanagements eingehend erörtert. Auf dieser Grundlage wurden Verfahrensweisen und EDV-gestützte Hilfsmittel entwickelt, mit denen die Güte des Verkehrsablaufs und die Verkehrssicherheit im Straßennetz und an einzelnen Knotenpunkten mit geringem Aufwand überprüft werden kann. Zur Qualitätsbewertung werden Unfalldaten, Prozessdaten und Betriebsdaten analysiert sowie der Verkehrsablauf vor Ort beobachtet. Der Aufbau einer Wissensbasis diente dazu, den Kenntnisstand zu Möglichkeiten der Qualitätsverbesserung an Lichtsignalanlagen für die Anwendung verfügbar zu machen. Hierin sind typische Qualitätsmaengel an Lichtsignalanlagen mit Möglichkeiten der Abhilfe verknüpft. Ferner sind Prüfbedingungen der Eignung und Umsetzbarkeit der Maßnahmen hinterlegt. Mit Hilfe dieses Expertensystems können Maßnahmen identifiziert und bewertet werden. Die Anwendung des Verfahrens an verschiedenen Knotenpunkten zeigt, dass der systematische und modulare Aufbau gut geeignet ist, aussagekräftige Informationen zur Qualität der Lichtsignalsteuerung zu erlangen und geeignete Maßnahmen zur Qualitätsverbesserung zu identifizieren. Das Verfahren kann mit geringem Aufwand durchgeführt werden und kann daher einen Beitrag für die verbreitete Anwendung des Qualitätsmanagements für Lichtsignalanlagen leisten.