Responsible Instructor |
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Contact Hours / Week x/x/x/x |
0/0/6/0 + 0/0/4/0
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Education Period |
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Start Education |
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Exam Period |
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Course Language |
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Course Contents |
The course discusses traffic flow and the relation between individual movmenents and collective patterns. How does congestion start and how does it propagate. The following topics are discussed:
Lecture 1: Variables, speed averaging, headway distributions Lecture 2: Cumulative flow curves, vertical queuing Lecture 3: Macroscopic characteristics, q=ku, fundamental diagram Lecture 4: Shockwave theory I Lecture 5: Shockwave theory II (moving bottleneck) Lecture 6: Phenomena: Traffic state recognition, capacity drop, stop-and-go, stability Lecture 7: Macroscopic models: Cell Transmission Model, Lagrangian coordinates Lecture 8: Car-following I Lecture 9: Car-following II Lecture 10: Tree phases of traffic, the use of simulation models Lecture 11: Multi-lane traffic flow Lecture 12: Macroscopic Fundamental Diagram (or Network Fundamental Diagram) Lecture 13: Pedestrians
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Study Goals |
After successful completion of the course, a student is able to: - apply the equation q=ku -analyse and explain the differences between observation methods, in particular the effects of moving observers and averaging methods (time mean vs space mean) -apply traffic simulation models, both microscopic and macroscopic, and explain their shortcomings -describe traffic dynamics using shockwave theory -describe the traffic situation in the three coordinates of traffic (N, X, T) and comment on the advantages of each -construct and interpret x,t plots, and to apply Edies definitions of density, flow and average speed -describe lane changing maneuvers and the effects thereof on the traffic stream -recognize traffic states from traffic measurements, and derive the causes for the observed traffic states -aanalyse a traffic problem, make reasonable behavioural assumptions thereof and make queuing calculations -link the theory to observation techniques and vice versa -evaluate the differences in methodology to calculate delays in a traffic network, and choose an appropriate one
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Education Method |
Lectures, computer assignments
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Computer Use |
during the assignment, the use of MATLAB is encouraged (and can be learned on-the-go, although it would require more time than if one already knows)
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Course Relations |
Follow-up courses: CIE 4822, CIE 5804
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Literature and Study Materials |
Lecture notes available via blackboard Old exams and answers
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Assessment |
Written examen, open questions and practical (groups of 3 students) The assignment result is only valid in the (study) year the assingment is made. If the student fails the course, a new assignment has to be done.
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Remarks |
Written exam >5 and practical >5
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Expected prior Knowledge |
Calculus
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Academic Skills |
Thinking (critical, analytical) Interpretation Writing reports, reviews, articles Cooperation Problem solving Judgemental skills Debating and discussion. Reasoning/arguing Logic
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Literature & Study Materials |
Lecture notes available via blackboard. Optional background books (not used in lecturing or exam preparation, only for reference material): Kesting, Arne. Traffic Flow Dynamics: Data, Models and Simulation. Springer Science & Business Media, 2012. Elefteriadou, L. (2014). An introduction to traffic flow theory. Springer.
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Judgement |
Calculation: 70% written exam and 30% assignment
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Permitted Materials during Exam |
calculator 1 A4 hand written, two sides max 30 lines/side, and 50 characters/line (allowed: graphs, text, equations, ...)
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Collegerama |
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