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Calibration and validation techniques are crucial in assessing the descriptive and predictive power of car-following models and their suitability for analyzing traffic flow.
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E. Brockfeld, P. Wagner, Validating microscopic traffic flow models, in: Intelligent Transportation Systems Conference, 2006. ITSC’06. IEEE, IEEE, 2006, pp. 1604–1608
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V. Punzo, B. Ciuffo, How parameters of microscopic traffic flow models relate to traffic dynamics in simulation: Implications for model calibration, Transportation Research Record 2124 (2009) 249–256
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V. Punzo, M. Borzacchiello, B. Ciuffo, Estimation of vehicle trajectories from observed discrete positions and next-generation simulation program (ngsim) data, in: TRB 2009 Annual Meeting, 2009
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A. Tordeux, S. Lassarre, M. Roussignol, An adaptive time gap car-following model, Transportation Research Part B: Methodological 44 (8-9) (2010) 1115–1131
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A. Kesting, M. Treiber, D. Helbing, Enhanced intelligent driver model to access the impact of driving strategies on traffic capacity, Philosophical Transactions of the Royal Society A 368 (2010) 4585–4605
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A. Kesting, Microscopic modeling of human and automated driving: Towards traffic-adaptive cruise control, Doctoral thesis, Technische Universität Dresden, open access http://nbn-resolving.de/urn:nbn:de:bsz:14-ds-1204804167720-57734
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A. Kesting, M. Treiber, Calibrating car-following models by using trajectory data: Methodological study, Transportation Research Record 2088 (2008) 148–156
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S. Ossen, S. P. Hoogendoorn, Validity of trajectory-based calibration approach of car-following models in presence of measurement errors, Transportation Research Record 2088 (2008) 117–125
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C. Thiemann, M. Treiber, A. Kesting, Estimating acceleration and lane-changing dynamics from next generation simulation trajectory data, Transportation Research Record 2088 (2008) 90–101
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B. Ciuffo, V. Punzo, V. Torrieri, Comparison of simulation-based and model-based calibrations of traffic-flow microsimulation models, Transportation Research Record: Journal of the Transportation Research Board 2088 (-1) (2008) 36–44
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A. Kesting, M. Treiber, Calibration of car-following models using floating car data, in: A. Schadschneider, T. Pöschel, R. Kühne, M. Schreckenberg, D. E. Wolf (Eds.), Traffic and Granular Flow ’07, Springer, Berlin, 2009, pp. 117–127
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V. Punzo, M. Borzacchiello, B. Ciuffo, On the assessment of vehicle trajectory data accuracy and application to the next generation simulation (ngsim) program data, Transportation Research Part C: Emerging Technologies
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S. Hoogendoorn, R. Hoogendoorn, Calibration of microscopic traffic-flow models using multiple data sources, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 368 (1928) (2010) 4497–4517
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S. Ossen, S. Hoogendoorn, Heterogeneity in car-following behavior: Theory and empirics, Transportation Research Part C: Emerging Technologies 19 (2) (2011) 182–195
2011
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V. Punzo, B. Ciuffo, Sensitivity analysis of car-following models: Methodology and application, in: Transportation Research Board 90th Annual Meeting, DVD, Paper#11-2805, Transportation Research Board of the National Academies, Washington, D.C., 2011, pp. 1–18
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M. Treiber, A. Kesting, Validation of traffic flow models with respect to the spatiotemporal evolution of congested traffic patterns, Transportation Research Part C: Emerging Technologies 21 (1) (2012) 31–41
2012
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M. Treiber, A. Kesting, Traffic Flow Dynamics: Data, Models and Simulation, Springer, Berlin, 2013
2013
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