The subject of Naturalistic Driving Observation (NDO) offers a major application spectrum, which are being used with increasing intensity in the reasearch area of active safety. Based on the conviction, that with the help of the recorded data it is possible to draw conclusions about the energy efficiency, methodical approaches and statistical analysis is applied as well to answer the following research questions:
- What are the possibilities
NDO offers to derive relevant Pre-Crash-Situations? Which solutions
arise to prevent future accidents?
- Is it possible to identify critical sequences of a typical Pre-Crash-Situation?
- Which situations require closer attention?
- which critical situations can be avoided or eased by a change of drivability through the change of the surroundings (e.g. structural measures)
is the potential that NDO offer besides accident research to the
energetic optimisation of (electric) drive trains? What are the
options and limits of an individual adjustment?
- How is it possible to measure / simulate the individual manner of driving?
- How big are the effects of an individual manner of driving?
- What effort is necessary to capture the individual manner of driving, to assess it and develope recommendations for an individual more economical manner?
- How can an automated assement of
the data set be implemented?
- How can different data sets be synchronised?
- How should an ideal NDO database look like?
- Which suitations (crítical sequences) are especially / not at all applicale to an automated assesment?
The figure symbolises the approach for NDOs. The focus is on the development and use of a NDO-Database, which is compatible or linked to other NDO-Databases (e.g. BASt, TU Chemnitz, DLR Braunschweig). This databse will serve as platform for own assessments. The topic of "own assessments" will focus on the initial research areas. It will feature the development of a measuring system (simultanious usage of several data loggers to identify vehicle and surrounding paremeters as well as video and audiorecording), as well as it's test and evaluation and the data recording itself. The goal is to develop a system that not only works for vehicles, but for bicycles and pedelecs as well.
Core topic of the analysis (database usage) is the (semi-)automated assessment and evalutation of the data. The goal is to extract sequences from the data sets that are essential to the reasearch questions. With those the research results from the areas of energy efficiency and accident avoidance will be interpreted. If applicable external applications or cooperations (e.g. psychology or material engineering) will be made.
An overview on current project can be found on the next pages .
Active participation for students
Within the context of the researched ares of the chair of Naturalistic Driving Observation for Energetic Optimisation and Accident Avoidance we offer students the chance - to work as student assistent or within the context of a bachelor or master thesis - to work on current research topics and to broaden the knowledge and skills on their field of interest. Current results will be presented in selected courses.
AnsprechpartnerinProf. Dr. rer. nat. Stefanie Marker
030 314 72 981
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- Topics for Final Theses 
Projekte und Partner
- eHaul - Entwicklung und Umsetzung eines Batteriewechselkonzepts mit 40t-eLKW