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VISSIM: a multi-parameter sensitivity analysis

Published: 03 December 2006 Publication History

Abstract

Traffic microsimulation is increasingly a preferred method of traffic analysis for today's transportation professionals. The importance of properly calibrating these traffic simulations is evidenced by the adoption of microsimulation calibration standards by several state and federal transportation authorities. A component of the calibration process is the calibration of the simulation for capacity. Capacity is a high-level measurement that is a function of many lower-level user-defined input parameters. VISSIM utilizes psy-chophysical car-following models that rely on ten user-defined parameters to represent freeway driving behavior. Several VISSIM driver behavior parameters have been shown to have a significant impact on roadway capacity. This paper seeks further understanding of the performance of the VISSIM traffic microsimulator by investigating the impact of driver behavior parameter combinations on a measure of freeway capacity. This paper is intended to provide insight useful for manual calibration of VISSIM microsimulation or the development of calibration algorithms.

References

[1]
Bloomberg, L. and Dale, J. 2000. Comparison of VISSIM and CORSIM Traffic Simulation Models on a Congested Network. Transportation Research Record 1727, TRB, National Research Council, Washington D.C. pp. 52--60.
[2]
Dowling, R., Skabardonis, A., and Alexiadis, V. 2004. Traffic Analysis Toolbox Volume III: Guidelines for Applying Traffic Microsimulation Software. Federal Highway Administration, Report FHWA-HRT-04-040.
[3]
Fellendorf, Martin and Vortisch, Peter. 2001. Validation of the Microscopic Traffic Flow Model VISSIM in Different Real-World Situations. Available in The 80th annual meeting of the Transportation Research Board Compendium of Papers.
[4]
Gomes, Gabriel; May, Adolf and Horowitz, Roberto. 2004. A Microsimulation Model of a Congested Freeway using VISSIM. Transportation Research Record 1876, TRB, National Research Council, Washington D.C. pp. 71--81.
[5]
Lownes, N. E. and Machemehl, R. B. 2006. Sensitivity of Simulated Capacity to VISSIM Driver Behavior Parameter Modification. Forthcoming in Transportation Research Record, Transportation Research Board, National Research Council, Washington, D.C. Available in The 85th annual meeting of the Transportation Research Board Compendium of Papers.
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May, Adolf D. 1990. Traffic Flow Fundamentals, Prentice Hall, Englewood Cliffs, N.J.
[7]
Moen, B., Fitts, J., Carter, D., and Ouyang, Y. 2000. A comparison of the VISSIM Model to Other Widely Used Traffic Simulation and Analysis Programs. Presented at the Institute of Transportation Engineers 2000 Annual Meeting and Exhibit, Nashville, TN.
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Panwai, S. and Dia, H. 2005. Comparative Evaluation of Microscopic Car-Following Behavior. IEEE Transactions on Intelligent Transportation Systems, Vol. 6, No. 3.
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PTV Planning Transport Verkehr AG. 2004. User's Manual, VISSIM 4.0, Karlsruhe, Germany.
[10]
Tian, Z. Z., Urbanik, T., Engelbrecht, R., and Balke, K. 2002. Variations in Capacity and Delay Estimates from Microscopic Traffic Simulation Models. Transportation Research Record 1802, TRB, National Research Council, Washington D.C. pp. 23--31.
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[13]
Zhizhou, W., Jian, S., and Xiaoguang, Y. 2005. Calibration of VISSIM for Shanghai Expressway Using Genetic Algorithm. Proceedings of the 2005 Winter Simulation Conference, ed. L. F. Perrone, F. P. Wieland, J. Liu, B. G. Lawson, D. M. Nicol, and R. M. Fujimoto, 2645--2648.

Cited By

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  • (2015)Evidence of long range dependence and self-similarity in urban traffic systemsProceedings of the 23rd SIGSPATIAL International Conference on Advances in Geographic Information Systems10.1145/2820783.2820819(1-10)Online publication date: 3-Nov-2015
  • (2013)Toward simulating entire cities with behavioral models of trafficIBM Journal of Research and Development10.1147/JRD.2013.226490657:5(6-6)Online publication date: 1-Sep-2013
  • (2011)V2X simulation runtime infrastructure VSimRTIComputer Networks: The International Journal of Computer and Telecommunications Networking10.1016/j.comnet.2011.05.00555:14(3189-3198)Online publication date: 1-Oct-2011
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Published In

cover image ACM Conferences
WSC '06: Proceedings of the 38th conference on Winter simulation
December 2006
2429 pages
ISBN:1424405017

Sponsors

  • IIE: Institute of Industrial Engineers
  • ASA: American Statistical Association
  • IEICE ESS: Institute of Electronics, Information and Communication Engineers, Engineering Sciences Society
  • IEEE-CS\DATC: The IEEE Computer Society
  • SIGSIM: ACM Special Interest Group on Simulation and Modeling
  • NIST: National Institute of Standards and Technology
  • (SCS): The Society for Modeling and Simulation International
  • INFORMS-CS: Institute for Operations Research and the Management Sciences-College on Simulation

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Winter Simulation Conference

Publication History

Published: 03 December 2006

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WSC06
Sponsor:
  • IIE
  • ASA
  • IEICE ESS
  • IEEE-CS\DATC
  • SIGSIM
  • NIST
  • (SCS)
  • INFORMS-CS
WSC06: Winter Simulation Conference 2006
December 3 - 6, 2006
California, Monterey

Acceptance Rates

WSC '06 Paper Acceptance Rate 177 of 252 submissions, 70%;
Overall Acceptance Rate 3,413 of 5,075 submissions, 67%

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Cited By

View all
  • (2015)Evidence of long range dependence and self-similarity in urban traffic systemsProceedings of the 23rd SIGSPATIAL International Conference on Advances in Geographic Information Systems10.1145/2820783.2820819(1-10)Online publication date: 3-Nov-2015
  • (2013)Toward simulating entire cities with behavioral models of trafficIBM Journal of Research and Development10.1147/JRD.2013.226490657:5(6-6)Online publication date: 1-Sep-2013
  • (2011)V2X simulation runtime infrastructure VSimRTIComputer Networks: The International Journal of Computer and Telecommunications Networking10.1016/j.comnet.2011.05.00555:14(3189-3198)Online publication date: 1-Oct-2011
  • (2010)Efficient traffic simulator coupling in a distributed V2X simulation environmentProceedings of the 3rd International ICST Conference on Simulation Tools and Techniques10.4108/ICST.SIMUTOOLS2010.8640(1-9)Online publication date: 15-Mar-2010

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