Calibration and Validation of Large-Scale Traffic Simulation Networks: A Case Study

Bartin, Bekir; Ozbay, Kaan; Gao, Jingqin; Kurkcu, Abdullah; Connected Cities for Smart Mobility toward Accessible and Resilient Transportation Center (C2SMART)

doi:10.1016/j.procs.2018.04.076

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Calibration and Validation of Large-Scale Traffic Simulation Networks: A Case Study

2018-01-01
By Bartin, Bekir ; Ozbay, Kaan ; Gao, Jingqin ; ...

[PDF-826.60 KB]

English

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Creators:

Bartin, Bekir ; Ozbay, Kaan ; Gao, Jingqin ; Kurkcu, Abdullah

Bartin, Bekir ; Ozbay, Kaan ; Gao, Jingqin ; Kurkcu, Abdullah Less -
Corporate Creators:

Connected Cities for Smart Mobility toward Accessible and Resilient Transportation Center (C2SMART)
Subject/TRT Terms:

[+]

Calibration Calibration And Validation Case Studies Data Analysis Large-scale Models Microscopic Traffic Simulation Traffic Data Traffic Simulation
DOI:

https://doi.org/10.1016/j.procs.2018.04.076
Resource Type:

Journal Article
Geographical Coverage:

United States
Corporate Publisher:

Elsevier
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.
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PDF
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University Transportation Centers US Transportation Collection
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urn:sha256:72f23a38c3d8996605da8669ef2ef4dcfdf99712e836a2e7128715e30af5cda5
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https://rosap.ntl.bts.gov/view/dot/42379/dot_42379_DS1.pdf
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Calibration and Validation of Large-Scale Traffic Simulation Networks: A Case Study

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