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First published online January 1, 2010

Simulation Model for Studying Impact of Vehicle-to-Vehicle Wireless Communications on Traffic Network Operations

Abstract

This paper describes the design and implementation of a simulation code supplement to a commercial microsimulation system that makes efficient use of traffic information data that can be disseminated via wireless vehicular ad hoc networks. The transmitted information elicits timely responses to driver behavior for speed or path changes in a realistic way. A simulation model developed by following the prescribed design was used in a case study application to simulate vehicle dynamic route diversion and variable speed limits following a severe incident in a small network. Simulation results indicate that the model results are sensitive both to different market penetration levels of vehicles equipped with wireless communications capabilities and to various control strategies, which therefore gives credibility to the utility of the system design.

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References

1. Weiser M., Gold R., and Brown J. S. The Origins of Ubiquitous Computing Research at PARC in the Late 1980s. IBM Systems Journal, Vol. 38, No. 4, 1999.
2. Greenfield A. Everyware: The Dawning Age of Ubiquitous Computing. New Riders Press, Berkeley, Calif., 2006.
3. Farradyne PB. VII Architecture and Functional Requirements, Version 1.1. ITS Joint Program Office, U.S. Department of Transportation, July 20, 2005.
4. Reichardt D., Miglietta M., Moretti L., Morsink P., and Schulz W. CarTALK 2000: Safe and Comfortable Driving Based Upon Inter-Vehicle-Communication. Proc. IEEE Intelligent Vehicle Symposium, Versailles, France, June 2002.
6. Kim W. Research and Development of Ubiquitous Transportation System. http://www.eurosouthkorea-ict.org/documents/forum2_ppt/wonkyu-kim.pdf. Accessed June 1, 2009.
7. Mahmassani H., and Sbayti H. DYNASMART-P User's Guide Version 1.2. Maryland Transportation Initiative, University of Maryland, 2005.
8. Rouphail N., and Hu H. Assessing the Utility of a Ubiquitous Transportation Network Using Computer Simulation: Year 1 Final Report, June 2008.
9. AIMSUN. http://www.aimsun.com/. Accessed June 1, 2009.
10. Xu H., and Barth M. An Adaptive Dissemination Mechanism for Inter-Vehicle Communication-Based Decentralized Traffic Information Systems. Proc. Ninth IEEE Intelligent Transportation Systems Conference, Toronto, Ontario, Canada, 2006.
11. Kim H., Shin M., Nam B., and Lovell D. An Integrated Transportation and Communication Simulation Framework for Vehicular Ad Hoc Network Applications. Presented at 87th Annual Meeting of the Transportation Research Board, Washington, D.C., 2008.
12. Leung K. Y. K., Dao T., Clark C. M., and Huissoon J. P. Development of a Microscopic Traffic Simulator for Inter-vehicle Communication Application Research. Proc. Ninth IEEE Intelligent Transportation Systems Conference, Toronto, Ontario, Canada, 2006, pp. 1286–1291.
13. Lee J., and Park B. Evaluation of Vehicle Infrastructure Integration-Based Route Guidance Strategies Under Incident Conditions. Presented at 87th Annual Meeting of the Transportation Research Board, Washington, D.C., 2008.
15. Wischhof L., Ebner A., Rohling H., Lott M., and Halfmann R. SOTIS: A Self-Organizing Traffic Information System. Presented at 57th IEEE Semiannual Vehicular Technology Conference, Jeju, South Korea, 2003.
16. Sharafsaleh M., VanderWerf J., Misener J. A., and Shladover S. E. Implementing Vehicle-Infrastructure Integration: Real World Challenges. Presented at 86th Annual Meeting of the Transportation Research Board, Washington, D.C., 2007.
17. Park B., and Sluka T. Cooperative Intersection Collision Avoidance System Test Bed Using a Hardware-Software-in-the-Loop Simulation. Presented at 88th Annual Meeting of the Transportation Research Board, Washington, D.C., 2009.
18. Network Simulator ns-2. http://www.isi.edu/nsmam/ns/. Accessed Jan. 14, 2009.
19. Network Simulator Qualnet. http://www.qualnetcomm.com/. Accessed Jan. 14, 2009.
20. Blum J., Eskandarian A., and Hoffman L. Challenges of Intervehicle Ad Hoc Networks. IEEE Transactions on Intelligent Transportation Systems, Vol. 5, No. 4, 2004, pp. 347–351.
21. Wu H., Lee J., Hunter M. P., Fujimoto R., Guensler R. L., and Ko J. Efficiency of Simulated Vehicle-to-Vehicle Message Propagation in Atlanta, Georgia, I-75 Corridor. In Transportation Research Record: Journal of the Transportation Research Board, No. 1910, Transportation Research Board of the National Academies, Washington, D.C., 2005, pp. 82–89.
22. Goel S., Imielinski T., and Ozbay K. Ascertaining Viability of WiFi Based Vehicle-to-Vehicle Network for Traffic Information Dissemination. Proc. Seventh IEEE Intelligent Transportation Systems Conference, Washington, D.C., 2004, pp. 1086–1091.
23. Yang X. Assessment of a Self-Organizing Distributed Traffic Information System: Modeling and Simulation. PhD dissertation. University of California, Irvine, 2003.
24. Lochert C., Caliskan M., Scheuermann B., Barthels A., Cervantes A., and Mauve M. Multiple Simulator Interlinking Environment for Inter Vehicle Communication. Proc. Second ACM International Workshop on Vehicular Ad Hoc Networks, Cologne, Germany, 2005.
25. Smith B. L., Park B., Tanikella H., and Zhang G. Prepare to Use Vehicle Infrastructure Integration in Transportation Operations: Phase 1. Virginia Transportation Research Council, Richmond, Oct. 2007.
26. Killat M., Schmidt-Eisenlohr F., Hartenstein H., Rössel C., Vortisch P., Assenmacher S., and Busch F. Enabling Efficient and Accurate Large-Scale Simulations of VANETs for Vehicular Traffic Management. Presented at Fourth ACM International Workshop on Vehicular Ad Hoc Networks. 2007. http://www.sigmobile.org/workshops/vanet2007/slides/4.pdf. Accessed July 10, 2009.
27. Dion F., Oh J., and Robinson R. VII Testbed Simulation Framework for Assessing Probe Vehicle Snapshot Data Generation. Presented at 88th Annual Meeting of the Transportation Research Board, Washington, D.C., 2009.
28. Python Website. http://www.python.org/. Accessed July 10, 2009.
29. Recently Conducted Studies on VSL. Missouri Department of Transportation. http://www.modot.mo.gov/stlouis/links/VSLStudies.htm. Accessed July 15, 2009.

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Article first published online: January 1, 2010
Issue published: January 2010

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© 2010 National Academy of Sciences.
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Authors

Affiliations

Bing Mei
Institute of Transportation Research and Education, North Carolina State University, Raleigh, NC 27695-8601.
Hyejung Hu
Institute of Transportation Research and Education, North Carolina State University, Raleigh, NC 27695-8601.
Nagui M. Rouphail
Institute of Transportation Research and Education, North Carolina State University, Raleigh, NC 27695-8601.
Jae-Joon Lee
Department of Advanced Transportation Research, Korea Transport Institute, 2311, Daehwa-dong Ilsanseo-gu, Goyang-si Gyeonggi-do, Goyang, 411–701, South Korea.

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