AH2174 Trafiksimulering, modellering och applikationer 7,5 hp

This course extends to application of traffic simulation models for analysis of dynamic traffic systems: input data preparation, calibration, validation, analysis of simulation output. Case studies and examples are also given. Students will become familiar with existing traffic simulation models in traffic research and applications in practice (for example SUMO). Students will have hands-on experience with the use of traffic simulation models for alternatives analyses and evaluation through case studies and project work.

Assignments: Include two project works:

The examination: Written exam

This is an advanced course on transport simulation. It consists of lectures and exercises. The lectures are structured in two blocks of roughly equal size.

The first half of the lectures teaches fundamental concepts of simulation and its application in transport. This comprises: taxonomy of simulation approaches, scientific principles and mathematical simulation framework, input data preparation, computer simulation techniques, analysis of simulation outputs. These lectures provide a solid foundation to understand and use transport simulations.

The second half of the lectures treats a selection of more specific topics. This comprises: calibration and validation of simulators, experimental design, on-line simulation, simulation-based optimization. Students will have the opportunity to influence what topics the course focuses on. These lectures provide the ability to solve complex, real transport problems with simulation.

In this course, students obtain fundamental knowledge on the principles and applications of transport simulations.

Transport simulators are complex computer programs that solve complex model systems. The models describe real transport phenomena, such as traffic flow dynamics in urban networks. They are typically solved through mathematical techniques, in particular stochastic simulation methods. Real transport problems are analyzed with free or commercial software implementations of these models and solvers.

After successful completition of the course, students should be able to

• understand and apply the basic principles of simulation;
• interpret and analyze stochastic simulation results;
• select application-specific models and simulation methods;
• collect and use real data to calibrate and validate transport simulators;
• deploy simulations for scenario analysis, prediction, and optimization.

Kandidatexamen eller motsvarande inom samhällsbyggnad, geografi, teknisk fysik, datavetenskap, statistik, ekonomi, eller matematik, samt minst 3 hp inom vardera grundläggande programmering, linjär algebra och numeriska metoder, sannolikhetsteori och statistik, samt Engelska B.

När kurs inte längre ges har student möjlighet att examineras under ytterligare två läsår.

• PRO2 - Projektarbete, 3,5 hp, betygsskala: A, B, C, D, E, FX, F
• TEN2 - Muntlig tentamen, 4,0 hp, betygsskala: A, B, C, D, E, FX, F

Examinator beslutar, baserat på rekommendation från KTH:s handläggare av stöd till studenter med funktionsnedsättning, om eventuell anpassad examination för studenter med dokumenterad, varaktig funktionsnedsättning.

Examinator får medge annan examinationsform vid omexamination av enstaka studenter.

PRO1 - Assignments, 3.5 credits, grade scale: A, B, C, D, E, FX, F

TEN1 - Examination, 4.0 credits, grade scale: A, B, C, D, E, FX, F

A mandatory oral examination equivalent to 4.0 ECTS credits on the A-F grading scale and a mandatory project assignment equivalent to 3.5 credits with grading scale A-F. The course will be determined by the grade of both

Albania Nissan

• Vid grupparbete har alla i gruppen ansvar för gruppens arbete.
• Vid examination ska varje student ärligt redovisa hjälp som erhållits och källor som använts.
• Vid muntlig examination ska varje student kunna redogöra för hela uppgiften och hela lösningen.