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


Abstract 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 assign... (more)
Created Date 2014-10-01
Contributor Zhou, Xuesong (ASU author) / Taylor, Jeffrey (Author) / Ira A. Fulton Schools of Engineering / School of Sustainable Engineering and the Built Environment
Series COGENT ENGINEERING
Type Text
Extent 19 pages
Language English
Identifier DOI: 10.1080/23311916.2014.961345 / ISSN: 2331-1916
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Citation Zhou, X., & Taylor, J. (2014). DTALite: A queue-based mesoscopic traffic simulator for fast model evaluation and calibration. Cogent Engineering, 1(1). doi:10.1080/23311916.2014.961345
Note The final version of this article, as published in Cogent Engineering, can be viewed online at: https://www.cogentoa.com/article/10.1080/23311916.2014.961345
Collaborating Institutions ASU Library
Additional Formats MODS / OAI Dublin Core / RIS


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