Vincenzo Punzo
Vincenzo Punzo
Bestätigte E-Mail-Adresse bei unina.it
Titel
Zitiert von
Zitiert von
Jahr
On the assessment of vehicle trajectory data accuracy and application to the Next Generation SIMulation (NGSIM) program data
V Punzo, MT Borzacchiello, B Ciuffo
Transportation Research Part C: Emerging Technologies 19 (6), 1243-1262, 2011
2472011
Analysis and comparison of microscopic traffic flow models with real traffic microscopic data
V Punzo, F Simonelli
Transportation Research Record 1934 (1), 53-63, 2005
2082005
Trajectory data reconstruction and simulation-based validation against macroscopic traffic patterns
M Montanino, V Punzo
Transportation Research Part B: Methodological 80, 82-106, 2015
1202015
Making NGSIM data usable for studies on traffic flow theory: Multistep method for vehicle trajectory reconstruction
M Montanino, V Punzo
Transportation Research Record 2390 (1), 99-111, 2013
1162013
Integrated Transport: from policy to practice
M Givoni, D Banister
Routledge, 2010
1012010
Can results of car-following model calibration based on trajectory data be trusted?
V Punzo, B Ciuffo, M Montanino
Transportation research record 2315 (1), 11-24, 2012
982012
Thirty years of Gipps’ car-following model: Applications, developments, and new features
B Ciuffo, V Punzo, M Montanino
Transportation research record 2315 (1), 89-99, 2012
832012
Comparison of simulation-based and model-based calibrations of traffic-flow microsimulation models
B Ciuffo, V Punzo, V Torrieri
Transportation Research Record 2088 (1), 36-44, 2008
762008
Nonstationary kalman filter for estimation of accurate and consistent car-following data
V Punzo, DJ Formisano, V Torrieri
Transportation research record 1934 (1), 2-12, 2005
762005
Towards a generic benchmarking platform for origin–destination flows estimation/updating algorithms: Design, demonstration and validation
C Antoniou, J Barceló, M Breen, M Bullejos, J Casas, E Cipriani, B Ciuffo, ...
Transportation Research Part C: Emerging Technologies 66, 79-98, 2016
752016
Do we really need to calibrate all the parameters? Variance-based sensitivity analysis to simplify microscopic traffic flow models
V Punzo, M Montanino, B Ciuffo
IEEE Transactions on Intelligent Transportation Systems 16 (1), 184-193, 2014
722014
Integration of driving and traffic simulation: Issues and first solutions
V Punzo, B Ciuffo
IEEE transactions on intelligent transportation systems 12 (2), 354-363, 2010
692010
Steady-state solutions and multiclass calibration of Gipps microscopic traffic flow model
V Punzo, A Tripodi
Transportation Research Record 1999 (1), 104-114, 2007
582007
Does traffic-related calibration of car-following models provide accurate estimations of vehicle emissions?
TV da Rocha, L Leclercq, M Montanino, C Parzani, V Punzo, B Ciuffo, ...
Transportation research part D: Transport and Environment 34, 267-280, 2015
472015
How parameters of microscopic traffic flow models relate to traffic dynamics in simulation: Implications for model calibration
V Punzo, B Ciuffo
Transportation research record 2124 (1), 249-256, 2009
472009
Traffic simulation: case for guidelines
C Antoniou, J Barcelò, M Brackstone, H Celikoglu, B Ciuffo, V Punzo, ...
Publications Office of the European Union, 2014
442014
Gaussian process metamodels for sensitivity analysis of traffic simulation models: Case study of AIMSUN mesoscopic model
B Ciuffo, J Casas, M Montanino, J Perarnau, V Punzo
Transportation research record 2390 (1), 87-98, 2013
432013
“No free lunch” theorems applied to the calibration of traffic simulation models
B Ciuffo, V Punzo
IEEE Transactions on Intelligent Transportation Systems 15 (2), 553-562, 2013
402013
Point-to-point speed enforcement systems: Speed limits design criteria and analysis of drivers’ compliance
A Montella, V Punzo, S Chiaradonna, F Mauriello, M Montanino
Transportation research part C: emerging technologies 53, 1-18, 2015
372015
Speed or spacing? Cumulative variables, and convolution of model errors and time in traffic flow models validation and calibration
V Punzo, M Montanino
Transportation Research Part B: Methodological 91, 21-33, 2016
362016
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