Abstract
MITSIMLab (MIcroscopic Traffic SIMulation Laboratory) is a microscopic traffic simulation model that evaluates the impacts of alternative traffic management system designs at the operational level and assists in their subsequent refinement. MITSIMLab models the travel and driving behavior of individual vehicles, the detailed movement of transit vehicles, and the various control and information provision strategies through a generic controller. A calibration methodology for important parameters and inputs was also developed. The model has been extended to address the special driving behavior evidenced in urban networks and has been used as a test bed for the evaluation of advanced traveler information systems (ATIS). Calibration and validation results from networks in the United States and Europe are discussed.
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References
Ahmed KI (1999) Modelling drivers’ acceleration and lane changing behaviors. Ph.D. thesis, Massachusetts Institute of Technology.
Balakrishna R (2006) Off-line calibration of dynamic traffic assignment models. Ph.D. thesis, Massachusetts Institute of Technology
Balakrishna R, Koutsopoulos HN, Ben-Akiva M, Fernandez-Ruiz BM, Mehta M (2005) Simulation-based evaluation of advanced traveler information systems. Transport Res Rec J Transport Res Board 1910:90–98
Balakrishna R, Ben-Akiva M, Koutsopoulos HN (2006a) Time-dependent origin–destination estimation without assignment matrices. Proceedings of the 2nd international symposium on transport simulation, Lausanne, Switzerland
Balakrishna R, Koutsopoulos HN, Ben-Akiva M (2006b) Simultaneous off-line demand and supply calibration of dynamic traffic assignment systems. Proceedings of the 85th annual meeting of the transportation research board, Washington, DC
Balakrishna R, Antoniou C, Ben-Akiva M, Koutsopoulos HN, Wen Y (2007a) Calibration of microscopic traffic simulation models: methods and application. Transportation Res Rec J Transport Res Board 1999:198–207
Balakrishna R, Ben-Akiva M, Koutsopoulos HN (2007b) Off-line calibration of dynamic traffic assignment: simultaneous demand–supply estimation. Proceedings of the 86th annual meeting of the transportation research board, Washington, DC
Ben-Akiva M, Bierlaire M (2003) Discrete choice models with applications to departure time and route choice. In: Hall R (ed) Handbook of transportation science, 2nd edn. Kluwer Academic, Boston, pp. 7–38
Burghout W (2004) Hybrid microscopic–mesoscopic traffic simulation. Ph.D. thesis, Royal Institute of Technology, Stockholm, Sweden
Burghout W, Koutsopoulos HN, Andreasson I (2005) Hybrid mesoscopic–microscopic traffic simulation. Transport Res Rec (1934):218–225
Choudhury C (2007) Modeling driving decisions with latent plans. Ph.D. thesis, Massachusetts Institute of Technology
Choudhury C, Ben-Akiva M, Toledo T, Lee G, Rao A (2007) Modeling cooperative lane-changing and forced merging behavior. Proceedings of the 86th transportation research board annual meeting, Washington, DC
Choudhury C, Ramanujam V, Ben-Akiva M (2008) A lane changing model for urban arterials. Proceedings of the 3rd international symposium of transport simulation, Gold Coast, Australia
Gazis D, Herman R, Rothery R (1961) Nonlinear follow-the-leader models of traffic flow. Oper Res 9:545–567
Sheffi Y, Powell WB (1982) An algorithm for the equilibrium assignment problem with random link times. Networks 12:191–207
Spall JC (1998) Implementation of the simultaneous perturbation algorithm for stochastic approximation. IEEE Trans Aerospace Electron Syst 34:817–823
Spall JC (1999) Stochastic optimization, stochastic approximation and simulated annealing. In: Webster JG (ed) Wiley encyclopedia of electrical and electronics engineering. Wiley, New York, pp 529–542
Toledo T (2008) Integrated model of driving behavior. VDM Verlag Dr. Müller, Saarbrucken, Germany
Toledo T, Koutsopoulos HN, Davol A, Ben-Akiva M, Burghout W, Andreasson I, Johansson T, Lundin C (2003) Calibration and validation of microscopic traffic simulation tools: Stockholm case study. Transport Res Rec 1831:65–75
Toledo T, Ben-Akiva M, Darda D, Jha M, Koutsopoulos HN (2004) Calibration of microscopic traffic simulation models with aggregate data. Transport Res Rec J Transport Res Board 1876:10–19
Toledo T, Choudhury C, Ben-Akiva M (2005) A lane-changing model with explicit target lane choice. Transport Res Rec J Transport Res Board 1934:157–165
Yang Q (1997) A simulation laboratory for dynamic traffic management systems. Ph.D. thesis, Massachusetts Institute of Technology, Cambridge, MA
Yang Q, Koutsopoulos HN (1996) A microscopic simulator for evaluation of dynamic traffic management systems. Transport Res C 4(3):113–129
Yang Q, Koutsopoulos HN, Ben-Akiva M (2000) A simulation laboratory for evaluating dynamic traffic management systems. Transport Res Rec 1710:122–130
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Ben-Akiva, M. et al. (2010). Traffic Simulation with MITSIMLab. In: Barceló, J. (eds) Fundamentals of Traffic Simulation. International Series in Operations Research & Management Science, vol 145. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-6142-6_6
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DOI: https://doi.org/10.1007/978-1-4419-6142-6_6
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