Generic Mobility Simulation Framework (GMSF)

Welcome to the Generic Mobility Simulation Framework (GMSF) page. Using GMSF you can generate mobility traces with our GIS-based mobility model and other mobility models. Please specify your simulation parameters, the output format and a valid e-mail address to generate mobility traces using GMSF:

Mobility Simulation Parameters:

Mobility Model:	GIS-based Model     without car-following and traffic lights model     enable car-following model     enable car-following model and traffic lights model MMTS Model Random Waypoint Model Manhattan Model
Nodes:	(Recommended nodes for the GIS-Model: 100 in the Rural scenario, 420 in the Urban scenario, 880 in the City scenario)
Node speed:	Min speed:   Max speed: [m/s]
Pause time:	Min time:   Max time: [s]
Simulation size:	[m]
Scenario:	Rural scenario (3,000mx3,000m) Road network: Urban scenario (3,000mx3,000m) Road network: City scenario (3,000mx3,000m) Road network:
Simulation time:	[s]
Seed:

Output Format:

Qualnet/Glomosim (file-based mobility)
ns-2 format
nam format
XML generic trace format (XML Schema)

User Information:

Mail address:
Note: A valid mail address is required to send you the link to download the resulting trace file.

About the Generic Mobility Simulation Framework (GMSF)

The Generic Mobility Simulation Framework (GMSF) was developed as a part of a master thesis [1] at ETH Zurich and has been presented at MobilityModels'08, the first ACM SIGMOBILE workshop on Mobility models [2].

Screenshot of GMSF with the GIS-model in the Urban scenario:
Position of nodes on the map (left side) and the corresponding network graph (right side).

Mobility Models

The simulation framework contains our new GIS-based mobility model, the MMTS model and the common Random Waypoint and Manhattan models.

• GIS-based mobility model: Steady-state random trips on real road topology from the Swiss geographic information system (GIS) [3]. The model implements a basic car-following mechanism using the Intelligent-Driver Model (IDM) [4]. Additionally, major road intersections are controlled by a simple traffic light model. Mobility traces can be generated based on the road topology of three different areas in Switzerland (City, Urban and Rural scenario)
• MMTS Model: Mobility model which is based on realistic vehicular traces and on the road topology from the Multi-agent Microscopic Traffic Simulator (MMTS) [5]. We provide vehicular traces for three different areas in Switzerland (City, Urban and Rural scenario).
• Random Waypoint Model: Steady-state random trip model. The steady-state initialization is performed using the method described by Camp and Navidi. [6]
• Manhattan Model: Nodes travel on a grid-like road network. If the distance to the front vehicle is below a threshold value, the speed is set at maximum to the speed of the front vehicle. Otherwise, nodes are accelerating or decelerating on a random basis while moving at a speed in the specified range.

More details can be found in the thesis [1] or in the research paper [2].

Output Format

Mobility traces can be generated in various output formats. GMSF supports the mobility trace format of the popular ns-2 (incl. nam traces) and Qualnet network simulators. In addition, we offer to generate traces in a simulator independent XML-based trace format.

References

1. "Design and Analysis of Realistic Mobility Model for Wireless Mesh Networks", Philipp Sommer, Master Thesis, ETH Zurich, Sept 07. PDF
2. "Generic mobility simulation framework (GMSF)", Rainer Baumann, Franck Legendre and Philipp Sommer, MobilityModels '08: Proceeding of the 1st ACM SIGMOBILE workshop on Mobility models, Hongkong, China. PDF
3. "VECTOR 25 - Landscape model of Switzerland", The Swiss Federal Office of Topography swisstopo, see website
4. "Congested Traffic States in Empirical Observations and Microscopic Simulations", M. Treiber , A. Hennecke and D. Helbing, Physical Review, see paper
5. Realistic Vehicular Traces, Laboratory for Software Technology, ETH Zurich, see website
6. "Stationary Distributions for the Random Waypoint Mobility Model", W. Navidi and T. Camp, IEEE Transactions on Mobile Computing, Vol. 3, 2004, see paper
7. "The IMPORTANT framework for analyzing the Impact of Mobility on Performance Of RouTing protocols for Adhoc NeTworks", F. Bai, N. Sadagopan and A. Helmy, INFOCOM 2003, see paper