Investigation of the Extent of Field Data Required for Reliable Calibration and Validation of Large Scale Traffic Simulation Models: A Case Study

B. Bartin, K. Ozbay, J. Gao, A. Kurkcu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Availability, accuracy and relevance of field data are essential for developing a reliable simulation model. Largescale simulation models in particular require data from many sources and in great detail. Considering the sheer size of many simulation models used in practice, collecting all the required data is both costly and time-consuming, and in many cases even impossible. Therefore a trade-off is usually made in terms of the amount of data collected or the number of selected data collection locations used for the calibration and validation process. The fundamental question addressed in this paper is the following: what is the marginal gain in using an additional type of field data for the calibration and validation process? Using a case study where the calibration and validation of a test network is performed under different scenarios of available data types, and the results are compared in hindsight. The results indicate that only traffic flow and travel time data would suffice for the calibration and validation process, and that the marginal benefit of acquiring additional data such as, queue length, in this case study, is likely to be insignificant.

Original languageEnglish (US)
Title of host publication2020 IEEE 23rd International Conference on Intelligent Transportation Systems, ITSC 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728141497
DOIs
StatePublished - Sep 20 2020
Event23rd IEEE International Conference on Intelligent Transportation Systems, ITSC 2020 - Rhodes, Greece
Duration: Sep 20 2020Sep 23 2020

Publication series

Name2020 IEEE 23rd International Conference on Intelligent Transportation Systems, ITSC 2020

Conference

Conference23rd IEEE International Conference on Intelligent Transportation Systems, ITSC 2020
CountryGreece
CityRhodes
Period9/20/209/23/20

ASJC Scopus subject areas

  • Artificial Intelligence
  • Decision Sciences (miscellaneous)
  • Information Systems and Management
  • Modeling and Simulation
  • Education

Fingerprint Dive into the research topics of 'Investigation of the Extent of Field Data Required for Reliable Calibration and Validation of Large Scale Traffic Simulation Models: A Case Study'. Together they form a unique fingerprint.

Cite this