Networking simulation for intelligent transportation systems : high mobile wireless nodes /
edited by Benoit Hilt, Marion Berbineau, Alexey Vinel, Alain Pirovano.
- 1 online resource.
Includes bibliographical references and index.
Cover; Title Page; Copyright; Contents; Preface; 1. Simulation of Convergent Networks for Intelligent Transport Systems with VSimRTI; 1.1. Introduction; 1.2. Fundamentals of cooperative ITS; 1.2.1. Message types; 1.2.2. Application categories; 1.2.3. Supporting facilities; 1.3. Overall simulation framework; 1.4. Simulation of cellular networks; 1.4.1. Regions and cells; 1.4.2. Delay models; 1.4.3. PR-Model and PL-Model; 1.4.4. Capacity Model; 1.4.5. Topological and geographical messaging; 1.5. Simulation study; 1.5.1. Evaluation metrics; 1.5.2. Simulation set-up; 1.5.3. Simulation results 1.6. Conclusion1.7. Bibliography; 2. Near-field Wireless Communications and their Role in Next Generation Transport Infrastructures: an Overview of Modelling Techniques; 2.1. Near-field wireless technologies; 2.1.1. Near-field versus far-field; 2.1.2. Near-field-based technologies in transport; 2.2. Characterization of near-field communications; 2.2.1. Electrical models; 2.2.2. Analysis of the mutual inductance of a squared inductive coupling; 2.2.3. Computer-aided electromagnetic calculation; 2.3. Discrete event simulators; 2.3.1. Riverbed Modeler; 2.3.2. OMNeT++; 2.3.3. ns-2; 2.3.4. ns-3 2.3.5. Discrete event simulator comparison for near-field communication2.4. Conclusions; 2.5. Bibliography; 3. Trace Extraction for Mobility in Civil Aeronautical Communication Networks Simulation; 3.1. Traffic regulations; 3.1.1. General airspace; 3.1.2. North Atlantic airspace; 3.2. Mobility for network simulation; 3.2.1. Types of mobility models for AANETs; 3.2.2. Comparison of mobility model types; 3.3. Example of mobility trace extraction; 3.3.1. Extraction of information; 3.3.2. Traces filtering; 3.3.3. Enhancing traces; 3.4. Toward cooperative trajectories; 3.5. Bibliography 4. Air-Ground Data Link Communications in Air Transport4.1. Introduction; 4.1.1. Context; 4.1.2. OMNeT++; 4.2. Continental air-ground data link communications and VDL mode 2; 4.2.1. Communication system; 4.2.2. Dimensioning parameters and bottlenecks; 4.2.3. Simulation model; 4.2.4. Analysis of simulation results; 4.3. Oceanic air-ground data link communications and AMS(R)S; 4.3.1. The aeronautical mobile satellite (route) service and Classic Aero; 4.3.2. Dimensioning parameters and bottlenecks; 4.3.3. Simulation model; 4.3.4. Analysis of simulation results; 4.4. Summary and further work 4.5. Bibliography5. A Virtual Laboratory as an Assessment Tool for Wireless Technologies in Railway Systems; 5.1. Introduction; 5.2. ERTMS subsystems and related test beds; 5.2.1. The functional subsystem of the ERTMS; 5.2.2. The telecommunication subsystem of the ERTMS; 5.3. A virtual laboratory based on co-simulation for ERTMS evaluation; 5.3.1. Why a co-simulation approach?; 5.3.2. Which data and processes must be modeled in each simulator?; 5.3.3. Overall architecture of the ERTMS-OPNET virtual laboratory; 5.3.4. Synchronization modes
9781119407423 1119407427 9781119407447 1119407443
Intelligent transportation systems--Computer simulation.
BUSINESS & ECONOMICS / Industries / Transportation
TRANSPORTATION / Public Transportation
Electronic books.
TE228.3
388.3/12
Includes bibliographical references and index.
Cover; Title Page; Copyright; Contents; Preface; 1. Simulation of Convergent Networks for Intelligent Transport Systems with VSimRTI; 1.1. Introduction; 1.2. Fundamentals of cooperative ITS; 1.2.1. Message types; 1.2.2. Application categories; 1.2.3. Supporting facilities; 1.3. Overall simulation framework; 1.4. Simulation of cellular networks; 1.4.1. Regions and cells; 1.4.2. Delay models; 1.4.3. PR-Model and PL-Model; 1.4.4. Capacity Model; 1.4.5. Topological and geographical messaging; 1.5. Simulation study; 1.5.1. Evaluation metrics; 1.5.2. Simulation set-up; 1.5.3. Simulation results 1.6. Conclusion1.7. Bibliography; 2. Near-field Wireless Communications and their Role in Next Generation Transport Infrastructures: an Overview of Modelling Techniques; 2.1. Near-field wireless technologies; 2.1.1. Near-field versus far-field; 2.1.2. Near-field-based technologies in transport; 2.2. Characterization of near-field communications; 2.2.1. Electrical models; 2.2.2. Analysis of the mutual inductance of a squared inductive coupling; 2.2.3. Computer-aided electromagnetic calculation; 2.3. Discrete event simulators; 2.3.1. Riverbed Modeler; 2.3.2. OMNeT++; 2.3.3. ns-2; 2.3.4. ns-3 2.3.5. Discrete event simulator comparison for near-field communication2.4. Conclusions; 2.5. Bibliography; 3. Trace Extraction for Mobility in Civil Aeronautical Communication Networks Simulation; 3.1. Traffic regulations; 3.1.1. General airspace; 3.1.2. North Atlantic airspace; 3.2. Mobility for network simulation; 3.2.1. Types of mobility models for AANETs; 3.2.2. Comparison of mobility model types; 3.3. Example of mobility trace extraction; 3.3.1. Extraction of information; 3.3.2. Traces filtering; 3.3.3. Enhancing traces; 3.4. Toward cooperative trajectories; 3.5. Bibliography 4. Air-Ground Data Link Communications in Air Transport4.1. Introduction; 4.1.1. Context; 4.1.2. OMNeT++; 4.2. Continental air-ground data link communications and VDL mode 2; 4.2.1. Communication system; 4.2.2. Dimensioning parameters and bottlenecks; 4.2.3. Simulation model; 4.2.4. Analysis of simulation results; 4.3. Oceanic air-ground data link communications and AMS(R)S; 4.3.1. The aeronautical mobile satellite (route) service and Classic Aero; 4.3.2. Dimensioning parameters and bottlenecks; 4.3.3. Simulation model; 4.3.4. Analysis of simulation results; 4.4. Summary and further work 4.5. Bibliography5. A Virtual Laboratory as an Assessment Tool for Wireless Technologies in Railway Systems; 5.1. Introduction; 5.2. ERTMS subsystems and related test beds; 5.2.1. The functional subsystem of the ERTMS; 5.2.2. The telecommunication subsystem of the ERTMS; 5.3. A virtual laboratory based on co-simulation for ERTMS evaluation; 5.3.1. Why a co-simulation approach?; 5.3.2. Which data and processes must be modeled in each simulator?; 5.3.3. Overall architecture of the ERTMS-OPNET virtual laboratory; 5.3.4. Synchronization modes
9781119407423 1119407427 9781119407447 1119407443
Intelligent transportation systems--Computer simulation.
BUSINESS & ECONOMICS / Industries / Transportation
TRANSPORTATION / Public Transportation
Electronic books.
TE228.3
388.3/12