TY - JOUR
T1 - Calibration and validation of large-scale traffic simulation networks
T2 - 9th International Conference on Ambient Systems, Networks and Technologies, ANT 2018
AU - Bartin, Bekir
AU - Ozbay, Kaan
AU - Gao, Jingqin
AU - Kurkcu, Abdullah
N1 - Funding Information:
This work was supported by the New Jersey Turnpike Authority. The authors are indebted to the Authority for their continuing support in research and their generosity in data provision.
Publisher Copyright:
© 2018 The Authors. Published by Elsevier B.V.
PY - 2018
Y1 - 2018
N2 - 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.
AB - 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.
KW - Large-scale Models
KW - calibration
KW - microscopic traffic simulation
KW - validation
UR - http://www.scopus.com/inward/record.url?scp=85051275705&partnerID=8YFLogxK
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U2 - 10.1016/j.procs.2018.04.076
DO - 10.1016/j.procs.2018.04.076
M3 - Conference article
AN - SCOPUS:85051275705
SN - 1877-0509
VL - 130
SP - 844
EP - 849
JO - Procedia Computer Science
JF - Procedia Computer Science
Y2 - 8 May 2018 through 11 May 2018
ER -