| TGTN16 | Transport Data and Modelling, 4,5 ECTS credits. /Transport Data and Modelling/ |
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Area of Education: Technology Subject area: Communication and Transport Systems |
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| Advancement level
(A-D): C
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| Aim: In order to be able to do something about the traffic problems it is necessary to know the present situation and the development that has led up to the present situation - whether it is environmental problems or safety problems. We have to have this knowledge to know what the problems are, how large they are, which character they have, and what effects our countermeasures have had. We have to describe the situation and analyse the situation in statistical terms. |
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| Prerequisites: (valid for students admitted to programmes within which the course is offered) TGTN93 Traffic Statistics and Risk Analysis, TNK077 Deterministic Modelling and Simulation Note: Admission requirements for non-programme students usually also include admission requirements for the programme and threshhold requirements for progression within the programme, or corresponding. |
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| Organisation: The course consists of lectures, lessons and seminars. |
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| Course contents: 1. Conflict technique: The basic idea with conflict technique is that conflicts belong to the same data population as accidents but are much more frequent. Thereby a large number of conflicts can be quickly acquired. The technique is described and analysed. 2. Databases and banks: There is a vast amount of traffic related data that needs to be collected and stored in order to make it possible to carry out analyses of various questions. Ways to store and analyse such databases are described. 3. Traffic modelling and simulation: In order to make traffic related data more general and in order to be able to predict outcome of various countermeasures it is often necessary to describe the data in terms of a model. Models make simulation possible. Simulation is often the only substitute for experiments that are not possible. 4. Evaluation of countermeasures: There are many pitfalls in the evaluation methodology. Testing of statistical significance may sound simple. But there are many pitfalls in them and some of these pitfalls are described and analysed - regression to the mean, accident migration, risk compensation etc. |
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| Course literature: |
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| Examination: | |||
| One written examination |
3 p |
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Course language is English. Department offering the course: TFK. Director of Studies: Examiner: Course Syllabus in Swedish |
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