342-0970/02 – Simulation of Transportation Systems (SDS)
| Gurantor department | Institute of Transport | Credits | 10 |
| Subject guarantor | doc. Ing. Michal Dorda, Ph.D. | Subject version guarantor | doc. Ing. Michal Dorda, Ph.D. |
| Study level | postgraduate | Requirement | Choice-compulsory type B |
| Year | | Semester | winter + summer |
| | Study language | English |
| Year of introduction | 2019/2020 | Year of cancellation | |
| Intended for the faculties | FS | Intended for study types | Doctoral |
Subject aims expressed by acquired skills and competences
The student is able to describe the modelled system and determine what data and the extent to which it needs to simulate the studied system. This data he / she can process by mathematical statistics tools. He / she is able to design a conceptual model and, based on this conceptual model, determine the appropriate type of simulation tool. He / she is able to create simulation models of transport systems in selected simulation environments. He / she can design experiments with simulation models and is able to evaluate the results of these experiments.
Teaching methods
Lectures
Individual consultations
Project work
Summary
The subject develops and deepens the complex knowledge of methods used for simulation needs in order to model the discrete character processes in transport systems, regardless of the mode of transport. Students will be introduced to principles of simulation based on event-oriented algorithms as well as principles based on Petri networks and multiagent systems. The student will be able to assess the suitability of using simulation methods for the assessment of the model transport problem, to statistically process the necessary input data using the methods of mathematical statistics, to design effective conceptual and simulation models, to use optimization methods for the improvement of key operating parameters, which can characterize the efficiency of the simulated transport system in connection with valid legislation and current theoretical knowledge from the field of transport theory. From the field of special simulation methods, the student will be introduced to the possibilities of specialized software tools for transport planning purposes, such as (Aimsun, Omnitrans, etc.).
Compulsory literature:
Recommended literature:
Additional study materials
Way of continuous check of knowledge in the course of semester
Oral examination.
E-learning
Other requirements
Solution and defense of the project on the given topic.
Prerequisities
Subject has no prerequisities.
Co-requisities
Subject has no co-requisities.
Subject syllabus:
1) Theory of Discrete Simulation Models.
2) Probability theory - discrete and continuous random variables used in simulation models and their description.
3) Theory of generating pseudorandom numbers - methods of generation, transformation methods, randomness tests.
4) Data preparation for simulation modeling needs - point estimation theory.
5) Data preparation for simulation models - tests of good agreement.
6) Methods for verifying and validating simulation models.
7) Software for discrete simulation of transport systems and processes.
8) Statistical processing of simulation results - interval estimates, hypothesis testing, regression and correlation analysis, sensitivity analysis.
9) Optimization methods in simulation.
10) Petri nets and their use for simulation of transport systems.
11) Multiagent systems and their use for simulation of transport systems.
Conditions for subject completion
Occurrence in study plans
Occurrence in special blocks
Assessment of instruction
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