Graduate School and Research Center in Digital Sciences

Mobility Modeling

T Technical Teaching


(Course for Post Master and International Master students only).

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 modeling of vehicular mobility, illustrate the impact of mobility on communication and networking, as well as the benefit of close-to-reality of vehicular mobility modeling to design efficient ITS applications.

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 model vehicular mobility
  • To be able to understand the impact of vehicular mobility modeling on vehicular networking

Nb hours : 21.00,  3 Lab sessions (9 hours)


Grading Policy : Lab reports (50%), Final Exam (50%)

Nb hours: 21.00
Nb hours per week: 3.00