Inhalt
[ 515MOTSITSS20 ] SE Traffic Simulation
|
|
|
|
 |
| Workload |
Education level |
Study areas |
Responsible person |
Hours per week |
Coordinating university |
| 3 ECTS |
B2 - Bachelor's programme 2. year |
Business Administration |
Cristina Olaverri-Monreal |
2 hpw |
Johannes Kepler University Linz |
|
|
|
| Detailed information |
| Original study plan |
Bachelor's programme Business Administration 2025W |
| Learning Outcomes |
Competences |
Learning Outcomes
- Demonstrate the ability to use simulation tools for transportation planning and evaluation.
- Design effective traffic scenarios and interpret results for transportation system improvements.
|
|
| Skills |
Knowledge |
Learning Outcomes
- LO3: Develop practical skills in simulation software for transportation design and analysis.
- LO4: Analyze the societal and behavioral impacts of new transportation technologies on traffic safety and user acceptance.
|
Learning Outcomes
- LO1: Understand the principles behind microscopic traffic simulators and their use in testing transportation systems and technologies.
- LO2: Acquire knowledge of current and emerging technologies in intelligent transportation systems.
|
|
| Criteria for evaluation |
- Written Seminar Paper (75%): Assessment of the scientific rigor, analysis, and quality of the research presented in the paper.
- Presentation in Seminar (25%): Evaluation based on clarity, depth of analysis, and ability to communicate the results of the simulation project.
|
| Methods |
- Lecture to provide foundational knowledge on traffic simulation and intelligent transportation systems.
- Group work to design and test traffic scenarios using simulation tools.
- Hands-on projects to implement traffic simulations and analyze the resulting data.
- Examination of real-world examples for the application of emerging technologies in transportation.
Students will present their findings and simulation results during the seminar.
|
| Language |
English and French |
| Study material |
Chang Chiu, Jon Bottom, Michael Mahut, Alex Paz, Ramachandran Balakrishna Travis Waller,
Jim Hicks
- Lara Codecá, Raphaël Frank, Sébastien Faye, and Thomas Engel “Luxembourg SUMO
Traffic (LuST) Scenario: Traffic Demand Evaluation”, 2017
|
| Changing subject? |
No |
|
|
|
| On-site course |
| Maximum number of participants |
25 |
| Assignment procedure |
Assignment according to priority |
|
|
|
