The module teaches the state-of-the art of the modeling 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 Lab session is mandatory.
- Jérôme Härri, Vehicular Mobility Modeling for VANET, VANET Vehicular Applications and Inter-Networking Technologies, Hannes Hartenstein (Editor), Kenneth Laberteaux (Editor), ISBN: 978-0-470-74056-9, Chapter 5, pp. 107-156, January 2010.
- Sandesh Uppoor, Marco Fiore, Jérôme Härri, 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, 3 Lab sessions (9 hours)
Nb hours per week: 3.00
Grading Policy : Lab reports (50%), Final Exam (50%)
