Calibration of microscopic traffic flow models against time-series data
In the field of traffic simulation, the calibration of uncertain inputs against real data is usually
taken to cover the epistemic uncertainty regarding the un-modeled details of the phenomena …
taken to cover the epistemic uncertainty regarding the un-modeled details of the phenomena …
Goodness of fit function in the frequency domain for robust calibration of microscopic traffic flow models
In the field of traffic simulation, the calibration of uncertain inputs against real data is usually
taken to cover both the epistemic uncertainty regarding the un-modeled details of the …
taken to cover both the epistemic uncertainty regarding the un-modeled details of the …
Do we really need to calibrate all the parameters? Variance-based sensitivity analysis to simplify microscopic traffic flow models
Automated calibration of microscopic traffic flow models is all but simple for a number of
reasons, including the computational complexity of black-box optimization and the …
reasons, including the computational complexity of black-box optimization and the …
“No free lunch” theorems applied to the calibration of traffic simulation models
In 1997, Wolpert and Macready derived “No free lunch theorems for optimization.” They
basically state that “the expected performance of any pair of optimization algorithms across …
basically state that “the expected performance of any pair of optimization algorithms across …
Calibration of microscopic traffic-flow models using multiple data sources
S Hoogendoorn… - … Transactions of the …, 2010 - royalsocietypublishing.org
Parameter identification of microscopic driving models is a difficult task. This is caused by
the fact that parameters—such as reaction time, sensitivity to stimuli, etc.—are generally not …
the fact that parameters—such as reaction time, sensitivity to stimuli, etc.—are generally not …
Calibration of microscopic traffic simulation models with aggregate data
T Toledo, ME Ben-Akiva, D Darda… - Transportation …, 2004 - journals.sagepub.com
A framework for the calibration of microscopic traffic simulation models using aggregate data
is presented. The framework takes into account the interactions between the various inputs …
is presented. The framework takes into account the interactions between the various inputs …
Online calibration for microscopic traffic simulation and dynamic multi-step prediction of traffic speed
Simulating driving behavior in high accuracy allows short-term prediction of traffic
parameters, such as speeds and travel times, which are basic components of Advanced …
parameters, such as speeds and travel times, which are basic components of Advanced …
Comparison of simulation-based and model-based calibrations of traffic-flow microsimulation models
Parameter calibration of traffic microsimulation models usually takes the form of a simulation-
based optimization problem, that is, an optimization in which every objective function …
based optimization problem, that is, an optimization in which every objective function …
A global optimization algorithm for trajectory data based car-following model calibration
How to calibrate the parameters of car-following models based on observed traffic data is a
vital problem in traffic simulation. Usually, the core of calibration is cast into an optimization …
vital problem in traffic simulation. Usually, the core of calibration is cast into an optimization …
Hybrid calibration of microscopic simulation models
L Vasconcelos, Á Seco, AB Silva - Computer-based Modelling and …, 2014 - Springer
This chapter presents a procedure to calibrate the Gipps car-following model based on
macroscopic data. The proposed method extends previous approaches in order to account …
macroscopic data. The proposed method extends previous approaches in order to account …