DTALite: A queue-based mesoscopic traffic simulator for fast model evaluation and calibration

A number of emerging dynamic traffic analysis applications, such as regional or statewide traffic assignment, require a theoretically rigorous and computationally efficient model to describe the propagation and dissipation of system congestion with bottleneck capacity constraints. An open-source lig...

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Bibliographic Details
Published in:Cogent engineering 2014-01, Vol.1 (1), p.961345
Main Authors: Zhou, Xuesong, Taylor, Jeffrey
Format: Article
Language:English
Subjects:
dynamic traffic assignment
traffic demand estimation
traffic simulation
transportation network modeling
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Summary:A number of emerging dynamic traffic analysis applications, such as regional or statewide traffic assignment, require a theoretically rigorous and computationally efficient model to describe the propagation and dissipation of system congestion with bottleneck capacity constraints. An open-source light-weight dynamic traffic assignment (DTA) package, namely DTALite, has been developed to allow a rapid utilization of advanced dynamic traffic analysis capabilities. This paper describes its three major modeling components: (1) a light-weight dynamic network loading simulator that embeds Newell's simplified kinematic wave model; (2) a mesoscopic agent-based DTA procedure to incorporate driver's heterogeneity; and (3) an integrated traffic assignment and origin-destination demand calibration system that can iteratively adjust path flow volume and distribution to match the observed traffic counts. A number of real-world test cases are described to demonstrate the effectiveness and performance of the proposed models under different network and data availability conditions.
ISSN:2331-1916
2331-1916
DOI:10.1080/23311916.2014.961345