Theory of Transportation Systems and Statistics
| extent | 2 semesters winter semester: 3 credit hours lecture, 3 credit hours training summer semester: 2 credit hours Vorlesung, 2 credit hours training |
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| lecturers | Prof. Dr. rer. nat. habil. Karl Nachtigall (lecturer in charge) Dr.-Ing. Sven-Orlev Neufert Dr.-Ing. Jens Opitz Dr.-Ing. Steffen Marx |
| contents and acquired skills | The students understand system-overlapping mathematical models describing traffic flows and their stochastic behaviour and are able to use these models. They have the ability to classify optimization problems and appropriate solution procedures. The students are basically skilled in Operations Research and their application to transportation problems. They are endued with basic knowledge in statistic modelling of transportation problems, transportation metrics and metrology, methods of measurement and evaluation models as well as in queuing theory, performance assessment of transportation systems, non-linear, continuous optimization problems, graph and network theory. The students are able to describe and analyse networks. They are proficient in handling the relevant algorithms to identify the shortest pathes as well as to identify the maximal and cost minimal flows in networks. They understand the methods of vehicle scheduling in networks and can apply themadequately. All in all students acquire the skills to apply the mathematical techniques to adequately solve problems in transportation networks. |
| granting of credit points | By attendings the module you will gain 10 credit points. The module grade corresponds with the grade of the final exam. The credit points are secured by passing the module exam. The module exam cosists of an exam with 240 minutes duration at the end of the final semester in summer. |