VISSIM
VISSIM is a microscopic multi-modal traffic flow simulation software. It is developed by PTV Planung Transport Verkehr AG in Karlsruhe, Germany. The name is derived from “Verkehr In Städten - SIMulationsmodell” (German for “Traffic in cities - simulation model”). VISSIM was started in 1992 and is today a global market leader.
Microscopic simulation
“Microscopic simulation”, sometimes called microsimulation, means that each entity (car, train, person) of reality that is to be simulated is simulated individually, i.e. it is represented by a corresponding entity in the simulation, thereby considering all relevant properties. The same holds for the interactions between the entities. The opposite would be a “macroscopic simulation”, in which the description of reality is shifted from individuals to “averaged” variables like flow and density. The corresponding product from the same manufacturer is called VISUM.
Multi-modality
“Multi-modal simulation” describes the ability to simulate more than one type of traffic. All these types can interact mutually. In VISSIM the following types of traffic can be simulated
Scope of application
The scope of application ranges from various issues of traffic engineering (transport engineering, transportation planning, signal timing), public transport, urban planning over fire protection (evacuation simulation) to 3d visualization (computer animation, architectural animation) for illustrative purpose and communication to the general public.
Scientific foundations
The basic traffic model ruling the movement of vehicles was developed by Rainer Wiedemann in 1974 at Karlsruhe University. It is a car-following model that considers physical and psychological aspects of the drivers.
The model underlying pedestrian dynamics is the Social Force Model by Dirk Helbing et al. from 1995.
Scientific award
PTV AG has founded a bi-annual scientific award for scientific work related to VISSIM and other PTV products.[1] Participation is open for any researcher.
Literature
- R. Wiedemann, Simulation des Straßenverkehrsflusses. Schriftenreihe des IfV, 8, 1974. Institut für Verkehrswesen. Universität Karlsruhe. (In German language).
- R. Wiedemann, Modelling of RTI-Elements on multi-lane roads. In: Advanced Telematics in Road Transport edited by the Commission of the European Community, DG XIII, Brussels, 1991.
- M. Fellendorf, VISSIM: A microscopic simulation tool to evaluate actuated signal control including bus priority. 64th ITE Annual Meeting, 1994. PDF
- D. Helbing and P. Molnar, Social force model for pedestrian dynamics. Phys. Rev. E, 51:4282–4286, 1995. arXiv:cond-mat/9805244v1
- L. Bloomberg and J. Dale, Comparison of VISSIM and CORSIM Traffic Simulation Models on a Congested Network. Transportation Research Record 1727:52-60, 2000. PDF
- D. Helbing, I. Farkas, and T. Vicsek, Simulating dynamical features of escape panic. Nature, 407:487–490, 2000. arXiv:cond-mat/0009448v1
- M. Fellendorf and P. Vortisch, Validation of the microscopic traffic flow model VISSIM in different real-world situations. Transportation Research Board, 2001. PDF
- D. Helbing, I.J. Farkas, P. Molnar, and T. Vicsek, Simulation of Pedestrian Crowds in Normal and Evacuation Situations. In Schreckenberg and Sharma editors. Pedestrian and Evacuation Dynamics, Duisburg, 2002. Springer-Verlag Berlin Heidelberg.
- B.B. Park and J.D. Schneeberger, Microscopic Simulation Model Calibration and Validation: Case Study of VISSIM Simulation Model for a Coordinated Actuated Signal System. Transportation Research Record 1856:185-192, 2003. PDF
- T. Werner and D. Helbing, The Social Force Pedestrian Model Applied to Real Life Scenarios. In E. Galea (editor) Pedestrian and Evacuation Dynamics: 2nd International Conference, Old Royal Naval College, University of Greenwich, London, 2003. CMS Press.
- G. Gomes, A. May, and R. Horowitz, Congested Freeway Microsimulation Model Using VISSIM. Transportation Research Record 1876:71-81, 2004. PDF
- R. Jagannathan and J.G. Bared, Design and Operational Performance of Crossover Displaced Left-Turn Intersections Transportation Research Record 1881:1-10, 2004.
- K.Y.K. Leung T.-S. Dao C.M. Clark, and J.P. Huissoon, Development of a microscopic traffic simulator for inter-vehicle communication application research. In Intelligent Transportation Systems Conference 1286-1291, 2006.
- M.M. Ishaque and R.B. Noland, Trade-offs between vehicular and pedestrian traffic using micro-simulation methods. Transport Policy 14(2):124-138, 2007.
- W. Burghout, J. Wahlstedt, Hybrid Traffic Simulation with Adaptive Signal Control Transportation Research Record 1999:191-197, 2007. PDF
- A. Johansson, D. Helbing, and P.K. Shukla, Specification of the Social Force Pedestrian Model by Evolutionary Adjustment to Video Tracking Data. Advances in Complex Systems 10(4):271–288, 2007. arXiv:0810.4587v1
External links
References
- ^ PTV Scientific Award