DIVERT for realistic simulation of heterogeneous vehicular networks

Simulation of vehicular networks has been extensively studied in the last few years. In order to have an holistic view of the network functioning, communications and vehicle mobility aspects should be modeled in detail and fully integrated. This article presents a tool for simulating heterogeneous vehicular networks. The existing microscopic traffic simulator, DIVERT, has been extended by adding NS-3 support resulting in a very tightly integrated simulator. The feasibility of the approach has been tested by means of an application example: in-vehicle traffic lights. The provided results demonstrate the superior performance and the scalability of this novel simulator.

[1]  Peter Vortisch,et al.  VALIDATION OF THE MICROSCOPIC TRAFFIC FLOW MODEL VISSIM IN DIFFERENT REAL-WORLD SITUATIONS , 2001 .

[2]  Sally Floyd,et al.  ns-3 project goals , 2006 .

[3]  Xinjie Chang.  Network simulations with OPNET , 1999, WSC'99. 1999 Winter Simulation Conference Proceedings. 'Simulation - A Bridge to the Future' (Cat. No.99CH37038).

[4]  Panagiotis Papadimitratos,et al.  TraNS: realistic joint traffic and network simulator for VANETs , 2008, MOCO.

[5]  Daniel Krajzewicz,et al.  SUMO (Simulation of Urban MObility) - an open-source traffic simulation , 2002 .

[6]  C. C. Chiou,et al.  The design and implementation of the NCTUns 1.0 network simulator , 2003, Comput. Networks.

[7]  Robbert van Renesse,et al.  JiST: an efficient approach to simulation using virtual machines , 2005, Softw. Pract. Exp..

[8]  Zheng Yao,et al.  On the need for bidirectional coupling of road traffic microsimulation and network simulation , 2008, MobilityModels '08.

[9]  Harriet Black Nembhard,et al.  Proceedings of the 31st conference on Winter simulation: Simulation---a bridge to the future - Volume 1 , 1999 .

[10]  Lei Rao,et al.  Traffic flow simulation using CORSIM , 2000, 2000 Winter Simulation Conference Proceedings (Cat. No.00CH37165).

[11]  Helbing,et al.  Congested traffic states in empirical observations and microscopic simulations , 2000, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.

[12]  Robbert van Renesse,et al.  JiST: an efficient approach to simulation using virtual machines: Research Articles , 2005 .

[13]  Stephan Olariu,et al.  Vehicular Networks: From Theory to Practice , 2009 .

[14]  Ozan K. Tonguz,et al.  Stereoscopic aerial photography: an alternative to model-based urban mobility approaches , 2009, VANET '09.

[15]  Javier Gozalvez.  iTETRIS : the framework for large-scale research on the impact of cooperative wireless vehicular communications systems in traffic efficiency , 2009 .

[16]  Rudolf Hornig,et al.  An overview of the OMNeT++ simulation environment , 2008, Simutools 2008.

[17]  Hannes Hartenstein,et al.  A tutorial survey on vehicular ad hoc networks , 2008, IEEE Communications Magazine.

[18]  Fatma Hrizi,et al.  simITS: an integrated and realistic simulation platform for vehicular networks , 2010, IWCMC.

[19]  Fabián E. Bustamante,et al.  An integrated mobility and traffic model for vehicular wireless networks , 2005, VANET '05.

[20]  Klaus Wehrle,et al.  A Performance Comparison of Recent Network Simulators , 2009, 2009 IEEE International Conference on Communications.

[21]  João Barros,et al.  Large-scale simulation of V2V environments , 2008, SAC '08.