Literature Survey on Recent Progress in Inter-Vehicle Communication Simulations


The vehicular ad hoc network (VANET) technology based on the approved IEEE 802.11p standard and the appendant inter-vehicle communication (IVC) has the potential to dramatically change the way transportation systems work. The fundamental idea is to change the individual behavior of each vehicle by exchanging information among traffic participants to realize a cooperative and more efficient transportation system. Certainly, the evaluation of such systems is a comprehensive and challenging task in a real world test bed, therefore, simulation frameworks are a key tool to analyze IVC. Several models are needed to emulate the real behavior of a VANET in all aspects as much realistically as necessary. The intention of this survey is to provide a comprehensive overview of publications concerning IVC simulations of the year 2013 and to see how IVC simulation has changed since 2009. Based on this analysis, we will answer the following questions: What simulation techniques are applied to IVC? Which aspects of IVS have been evaluated? What has changed within five years of IVC simulations? We also take a closer look at commonly used software tools and discuss their functionality and drawbacks. Finally, we present open questions concerning IVC simulations.

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Hager, M. , Seitz, J. and Waas, T. (2015) Literature Survey on Recent Progress in Inter-Vehicle Communication Simulations. Journal of Transportation Technologies, 5, 159-168. doi: 10.4236/jtts.2015.53015.

Conflicts of Interest

The authors declare no conflicts of interest.


[1] Dar, K., Bakhouya, M., Gaber, J., Wack, M. and Lorenz, P. (2010) Wireless Communication Technologies for ITS Applications. IEEE Communications Magazine, 48, 156-162.
[2] Willke, T., Tientrakool, P. and Maxemchuk, N. (2009) A Survey of Inter-Vehicle Communication Protocols and Their Applications. IEEE Communications Surveys & Tutorials, 11, 3-20.
[3] d’Orey, P. and Ferreira, M. (2014) ITS for Sustainable Mobility: A Survey on Applications and Impact Assessment Tools. IEEE Transactions on Intelligent Transportation Systems, 15, 477-493.
[4] IEEE Standard (2010) Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) Specifications Amendment 6: Wireless Access in Vehicular Environments. IEEE Std. 802.11p.
[5] Kenney, J. (2011) Dedicated Short-Range Communications (DSRC) Standards in the United States. Proceedings of the IEEE, 99, 1162-1182.
[6] Kosch, T., Kulp, I., Bechler, M., Strassberger, M., Weyl, B. and Lasowski,R. (2009) Communication Architecture for Cooperative Systems in Europe. IEEE Communications Magazine, 47, 116-125.
[7] IEEE Vehicular Technology Society (2010) IEEE Standard for Wireless Access in Vehicular Environments (WAVE)— Networking Services. IEEE Std. 1609.3.
[8] ETSI European Telecommunications Standards Institute (2011) ITS VC Basic Set of Applications Part 2: Specification of Cooperative Awareness Basic Service. ETSI TS 102 637-2.
[9] ETSI European Telecommunications Standards Institute (2010) ITS VC Basic Set of Applications Part 3: Specification of Decentralized Environmental Notification Basic Service. ETSI TS 102 637-3.
[10] Panichpapiboon, S. and Pattara-Atikom, W. (2012) A Review of Information Dissemination Protocols for Vehicular Ad Hoc Networks. IEEE Communications Surveys & Tutorials, 14, 784-798.
[11] Stubing, H., Bechler, M., Heussner, D., May, T., Radusch, I., Rechner, H. and Vogel, P. (2010) SimTD: A Car-to-X System Architecture for Field Operational Tests. IEEE Communications Magazine, 48, 148-154.
[12] Festag, A., Le, L. and Goleva, M. (2011) Field Operational Tests for Cooperative Systems: A Tussle between Research, Standardization and Deployment. Proceedings of the 8th ACM International Workshop on Vehicular Inter-Networking, ser. VANET’11, New York, 19-23 September 2011, 73-78.
[13] Joerer, S., Sommer, C. and Dressler, F. (2012) Toward Reproducibility and Comparability of IVC Simulation Studies: A Literature Survey. IEEE Communications Magazine, 50, 82-88.
[14] Krajzewicz, D., Erdmann, J., Behrisch, M. and Bieker, L. (2012) Recent Development and Applications of SUMO— Simulation of Urban Mobility. International Journal on Advances in Systems and Measurements, 5, 128-138.
[15] Sommer, C., Joerer, S. and Dressler, F. (2012) On the Applicability of Two-Ray Path Loss Models for Vehicular Network Simulation. 4th IEEE Vehicular Networking Conference (VNC 2012), Seoul, 14-16 November 2012, 64-69.
[16] Javed, M. and Khan, J. (2013) A Cooperative Safety Zone Approach to Enhance the Performance of VANET Applications. IEEE 77th Vehicular Technology Conference (VTC Spring), Dresden, 2-5 June 2013, 1-5.
[17] Al-Kubati, G., Al-Dubai, A., Mackenzie, L. and Pezaros, D. (2013) Fast and Reliable Hybrid Routing for Vehicular Ad Hoc Networks. 13th International Conference on ITS Telecommunications (ITST), Tampere, 5-7 November 2013, 20-25.
[18] Molisch, A., Tufvesson, F., Karedal, J. and Mecklenbrauker, C. (2009) A Survey on Vehicle-to-Vehicle Propagation Channels. IEEE Wireless Communications, 16, 12-22.
[19] Sen, I. and Matolak, D. (2008) Vehicle-Vehicle Channel Models for the 5-GHz Band. IEEE Transactions on Intelligent Transportation Systems, 9, 235-245.
[20] Gozalves, J., Sepulcre, M. and Bauza, R. (2012) Impact of the Radio Channel Modeling on the Performance of VANET Communication Protocols. Springer Telecommunications Systems, 50, 149-167.
[21] Schumacher, H. and Tchouankem, H. (2013) Highway Propagation Modeling in VANETs and Its Impact on Performance Evaluation. 10th Annual Conference on Wireless On-Demand Network Systems and Services, Banff, 18-20 March 2013, 178-185.
[22] Klingler, F., Dressler, F., Cao, J. and Sommer, C. (2013) Use Both Lanes: Multi-Channel Beaconing for Message Dissemination in Vehicular Networks. 10th Annual Conference on Wireless On-Demand Network Systems and Services (WONS), 18-20 March 2013, 162-169.
[23] Hsu, M.W. and Hsieh, T.Y. (2013) A Probability Based MAC Channel Congestion Control Mechanism for VANET. IEEE 77th Vehicular Technology Conference (VTC Spring), Dresden, 2-5 June 2013, 1-5.
[24] Gaugel, T., Mittag, J., Hartenstein, H., Papanastasiou, S. and Strom, E. (2013) Indepth Analysis and Evaluation of Self-Organizing TDMA. IEEE Vehicular Networking Conference (VNC), Boston, 16-18 December 2013, 79-86.
[25] Harri, J., Filali, F. and Bonnet, C. (2009) Mobility Models for Vehicular Ad Hoc Networks: A Survey and Taxonomy. IEEE Communications Surveys Tutorials, 11, 19-41.
[26] Pan, G., Qi, G., Zhang, W., Li, S., Wu, Z. and Yang, L. (2013) Trace Analysis and Mining for Smart Cities: Issues, Methods, and Applications. IEEE Communications Magazine, 51, 120-126.
[27] Uppoor, S., Trullols-Cruces, O., Fiore, M. and Barcelo-Ordinas, J. (2014) Generation and Analysis of a Large-Scale Urban Vehicular Mobility Dataset. IEEE Transactions on Mobile Computing, 13, 1061-1075.
[28] Silva, F., Silva, T., Ruiz, L. and Loureiro, A. (2013) ConProVA: A Smart Context Provisioning Middleware for VANET Applications. IEEE 77th Vehicular Technology Conference (VTC Spring), Dresden, 2-5 June 2013, 1-5.
[29] Petz, A., Enderle, J. and Julien, C. (2009) A Framework for Evaluating DTN Mobility Models. Proceedings of the 2nd International ICST Conference on Simulation Tools and Techniques, Rome, 2-6 March 2009, 94-101.
[30] Ekman, F., Keränen, A., Karvo, J. and Ott, J. (2008) Working Day Movement Model. Proceedings of the 1st ACM SIGMOBILE Workshop on Mobility Models, Mobility Models ’08, New York, 27-30 May 2008, 33-40.
[31] Wehrle, K., Günes, M. and Gross, J. (Eds.) (2010) Modeling and Tools for Network Simulation. Springer, Heidelberg, Dordrecht, London and New York.

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