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Microscopic Traffic Flow Simulator VISSIM

In: Fundamentals of Traffic Simulation

Author

Listed:
  • Martin Fellendorf

    (University of Technology Graz)

  • Peter Vortisch

    (Karlsruhe Institute of Technology, Institute for Transport Studies (IfV))

Abstract

After two decades of academic research the microscopic, behavior-based multi-purpose traffic flow simulator VISSIM had been introduced in 1994 to analyze and optimize traffic flows. It offers a wide variety of urban and highway applications, integrating public and private transportation. A large part of this chapter is devoted to modeling principles of VISSIM, core traffic flow models consisting of longitudinal and lateral movements of vehicles on multilane streets, a conflict resolution model at areas with overlapping trajectories, dynamic assignment and the social force model applied to pedestrians. Techniques to calibrate the core traffic flow models are discussed briefly.

Suggested Citation

  • Martin Fellendorf & Peter Vortisch, 2010. "Microscopic Traffic Flow Simulator VISSIM," International Series in Operations Research & Management Science, in: Jaume Barceló (ed.), Fundamentals of Traffic Simulation, chapter 0, pages 63-93, Springer.
    • Handle: RePEc:spr:isochp:978-1-4419-6142-6_2
    DOI: 10.1007/978-1-4419-6142-6_2
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    Citations

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    Cited by:

    1. Lv, Wei & Song, Wei-guo & Liu, Xiao-dong & Ma, Jian, 2013. "A microscopic lane changing process model for multilane traffic," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(5), pages 1142-1152.
    2. Umair Hasan & Andrew Whyte & Hamad AlJassmi, 2022. "A Microsimulation Modelling Approach to Quantify Environmental Footprint of Autonomous Buses," Sustainability, MDPI, vol. 14(23), pages 1-31, November.
    3. Lunacek, Monte & Williams, Lindy & Severino, Joseph & Ficenec, Karen & Ugirumurera, Juliette & Eash, Matthew & Ge, Yanbo & Phillips, Caleb, 2021. "A data-driven operational model for traffic at the Dallas Fort Worth International Airport," Journal of Air Transport Management, Elsevier, vol. 94(C).
    4. Monika Ziemska-Osuch & Dawid Osuch, 2022. "Modeling the Assessment of Intersections with Traffic Lights and the Significance Level of the Number of Pedestrians in Microsimulation Models Based on the PTV Vissim Tool," Sustainability, MDPI, vol. 14(14), pages 1-11, July.
    5. Sung-Pil Hong & Kyung Min Kim & Suk-Joon Ko, 2021. "Estimating heterogeneous agent preferences by inverse optimization in a randomized nonatomic game," Annals of Operations Research, Springer, vol. 307(1), pages 207-228, December.
    6. Abdelghany, Ahmed & Abdelghany, Khaled & Mahmassani, Hani, 2016. "A hybrid simulation-assignment modeling framework for crowd dynamics in large-scale pedestrian facilities," Transportation Research Part A: Policy and Practice, Elsevier, vol. 86(C), pages 159-176.
    7. Shorshani, M. Fallah & Hatzopoulou, Marianne, 2016. "Microscopic Modeling for Atmospheric Urban Pollutant Dispersion in Dense Urban Road Networks," 57th Transportation Research Forum (51st CTRF) Joint Conference, Toronto, Ontario, May 1-4, 2016 319256, Transportation Research Forum.
    8. Tuo Sun & Shihao Zhu & Ruochen Hao & Bo Sun & Jiemin Xie, 2022. "Traffic Missing Data Imputation: A Selective Overview of Temporal Theories and Algorithms," Mathematics, MDPI, vol. 10(14), pages 1-22, July.
    9. Demin Nalic & Aleksa Pandurevic & Arno Eichberger & Branko Rogic, 2020. "Design and Implementation of a Co-Simulation Framework for Testing of Automated Driving Systems," Sustainability, MDPI, vol. 12(24), pages 1-12, December.
    10. Hollbeck, Gabor B. & Pilarczyk, René & Wang, Shanshan & Schreckenberg, Michael & Guhr, Thomas, 2024. "Congestions and spectral transitions in time-lagged correlations of motorway traffic," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 649(C).
    11. Xavier Boulet & Mahdi Zargayouna & Gérard Scemama & Fabien Leurent, 2021. "A Middleware-Based Approach for Multi-Scale Mobility Simulation," Future Internet, MDPI, vol. 13(2), pages 1-21, January.
    12. Taghreed Alghamdi & Sifatul Mostafi & Ghadeer Abdelkader & Khalid Elgazzar, 2022. "A Comparative Study on Traffic Modeling Techniques for Predicting and Simulating Traffic Behavior," Future Internet, MDPI, vol. 14(10), pages 1-21, October.
    13. Xuan Fang & Hexuan Li & Tamás Tettamanti & Arno Eichberger & Martin Fellendorf, 2022. "Effects of Automated Vehicle Models at the Mixed Traffic Situation on a Motorway Scenario," Energies, MDPI, vol. 15(6), pages 1-15, March.
    14. Kantelhardt, Jan W. & Fullerton, Matthew & Kämpf, Mirko & Beltran-Ruiz, Cristina & Busch, Fritz, 2013. "Phases of scaling and cross-correlation behavior in traffic," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(22), pages 5742-5756.
    15. Danish Farooq & Janos Juhasz, 2019. "Simulation-Based Analysis of the Effect of Significant Traffic Parameters on Lane Changing for Driving Logic “Cautious” on a Freeway," Sustainability, MDPI, vol. 11(21), pages 1-15, October.
    16. Fatemeh Enayatollahi & Ahmed Osman Idris & M. A. Amiri Atashgah, 2019. "Modelling bus bunching under variable transit demand using cellular automata," Public Transport, Springer, vol. 11(2), pages 269-298, August.
    17. Piotr Gołębiowski & Jolanta Żak & Ilona Jacyna-Gołda, 2020. "Approach to the Proecological Distribution of the Traffic Flow on the Transport Network from the Point of View of Carbon Dioxide," Sustainability, MDPI, vol. 12(17), pages 1-16, August.
    18. Enrica Carbone & Vinayak V. Dixit & E. Elisabet Rutstrom, 2022. "Should I stay or should I go? Congestion pricing and equilibrium selection in a transportation network," Theory and Decision, Springer, vol. 93(3), pages 535-562, October.
    19. Demin Nalic & Aleksa Pandurevic & Arno Eichberger & Martin Fellendorf & Branko Rogic, 2021. "Software Framework for Testing of Automated Driving Systems in the Traffic Environment of Vissim," Energies, MDPI, vol. 14(11), pages 1-9, May.
    20. Elisabeth Bloder & Georg Jäger, 2021. "Is the Green Wave Really Green? The Risks of Rebound Effects When Implementing “Green” Policies," Sustainability, MDPI, vol. 13(10), pages 1-11, May.
    21. Coşkun, Safa Bozkurt & Atay, Mehmet Tarık & Şentürk, Erman, 2019. "Interpolated variational iteration method for solving the jamming transition problem," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 166(C), pages 481-493.
    22. Ugirumurera, Juliette & Severino, Joseph & Ficenec, Karen & Ge, Yanbo & Wang, Qichao & Williams, Lindy & Chae, Junghoon & Lunacek, Monte & Phillips, Caleb, 2021. "A modeling framework for designing and evaluating curbside traffic management policies at Dallas-Fort Worth International Airport," Transportation Research Part A: Policy and Practice, Elsevier, vol. 153(C), pages 130-150.

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