The module teaches state-of-the-art of the ling techniques for vehicular mobility. The objectives are first to describe the challenges of close-to-reality random models for vehicular mobility, then to introduce the concepts of vehicular traffic flow models and Origin-Destination (O-D) Matrices for trip and path planning. Finally, it trains on best practices to apply these concepts for realistic vehicular traffic modeling on vehicular traffic simulators.
Teaching and Learning Methods: Lectures and lab. sessions (group of 2 students).
Course Policies: Attendance to the lab. sessions are mandatory.
- Book: HÄRRI J., Vehicular Mobility Modeling for VANET, VANET Vehicular Applications and Inter-Networking Technologies, Hannes Hartenstein (Editor), Kenneth Laberteaux (Editor), ISBN: 978-0-470-74056-9, January 2010, chapter 5, pp. 107-156
- Book: UPPOOR S., FIORE M., HÄRRI J. Synthetic mobility traces for vehicular networking, in Book chapter N.6 in "Vehicular Networks: Models and Algorithms"; Beylot, André-Luc and Labiod, Houda (Eds), Wiley, ISBN: 978848214897, 2013.
Basic Calculus Knowledge.
Random Mobility Modeling
- Random Waypoint
- Steady-State Distribution & Palm Theory
Vehicular Flow Modeling
- Micro-, Meso-, Macro- Modeling
- Fundamental Flow Diagrams
Vehicular Traffic Modeling
- Trip & Path Planning
- O-D matrices
Advanced Topics:
- Analysis of Mobility Patterns & Impact on Communications
- Behavioral Mobility Models
- Pedestrian, Motorcycles, non-physical models…
Learning outcome:
- To be able to analyze the basic properties of random mobility
- To be able to understand vehicular traffic flow modeling & vehicular trip planning
- To be able to apply these concepts for realistic scenario design and analysis on traffic simulators
Nb hours: 21.00
Evaluation:
- Lab. reports (50 % of the final grade),
- Final exam (50 % of the final grade).
