Methods and Tools for Supporting the Use, Calibration and Validation of Traffic Simulation Models

Project details


Methods and Tools for Supporting the Use, Calibration and Validation of Traffic Simulation Models
Multimodal transport
Funding: National (Latvia)
Duration: 03/12 - 02/13
Transport Themes: Multimodal transport (key theme).
Passenger transport, Freight transport, Multimodal transport, Infrastructure and TEN-T, Land-use and transport planning, Security and Safety, Awareness, information and user rights, Intelligent transport systems, Innovative technologies, Assessment & decision support methodologies, Accessibility, social and equity impacts
  • Outline
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Background & policy context: 

These models are extensively used in applications that have great potential impact on the safety, capacity and environmental efficiency of the road system. However, the fidelity of results and conclusions drawn from a simulation study, as well as the range of possible applications the tools can reliably be used for, are questionable: the same simulation study carried out by different people, even when using the same tool, is likely to give different results.


The main objective of the action is to develop, implement and promote the use of methods and procedures for supporting the use of traffic simulation models, especially on the topics of model calibration and validation.

To this date, the bulk of resources and effort in the field of traffic simulation have focused on "model development", leading to many simulation models being available on the market.


For these reasons the main objective of this Action is to develop, implement and promote methodologies and procedures to support the use of traffic simulation, especially on the topics of calibration and validation. To this aim the sharing and exchanging of available traffic datasets will also be a key task of the Action.

Programme Other: 
Funding Source(s): 
Ministry of Transport and Communications
Key Results: 

The project examined issues such as data availability and quality, as well as the relationship between data accuracy and calibration, as well as developing and testing methodologies suitable for calibration and validation of deterministic as well as stochastic models. Major accomplishments were the definition of a general framework for the management of uncertainty in traffic simulation, the development and application of Global Sensitivity Analysis techniques to traffic simulation, the building of a new simulation platform to benchmark dynamic origin-destination (OD) estimation and prediction algorithms, and the development of a new methodology to reconstruct trajectory data from noisy measurements, applied to NGSIM I80-1 dataset.


Contact Name: 
Prof. Irina Yatskiv,
Contact Email: 
1 Lomonosova Street
Contact country: 
+371 67100661
Fax Number: 
+371 67100660