Calibration and validation of large-scale traffic simulation networks: A case study

Bekir Bartin, Kaan Ozbay, Jingqin Gao, Abdullah Kurkcu

Research output: Contribution to journalConference articlepeer-review

Abstract

The availability, accuracy and relevance of real world input data are essential for developing a reliable traffic simulation model. Large-scale traffic simulation models, in particular, require data from many sources and in great detail. Though it is now possible to obtain detailed field data with the advent of new technologies such as GPS, cellular phones, RFIDs, it is still a challenge to gather all available data, especially traffic flow data, in the required spatial and temporal accuracy. The central theme of this paper is the calibration and validation (C&V) development of a large-scale traffic simulation model using data from multiple sources.

Original languageEnglish (US)
Pages (from-to)844-849
Number of pages6
JournalProcedia Computer Science
Volume130
DOIs
StatePublished - 2018
Event9th International Conference on Ambient Systems, Networks and Technologies, ANT 2018 - Porto, Indonesia
Duration: May 8 2018May 11 2018

Keywords

  • Large-scale Models
  • calibration
  • microscopic traffic simulation
  • validation

ASJC Scopus subject areas

  • Computer Science(all)

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