Large-scale, High-fidelity Dynamic Traffic Assignment: Framework and Real-world Case Studies

The authors present a highly detailed, microscopic Dynamic Traffic Assignment (DTA) framework with sufficient fidelity to address emergent and future planning and operations applications. Congestion patterns are estimated at the lane level with explicit modeling of complex signal timing algorithms and their impacts on queues and spillbacks. A Geographic Information System (GIS) ensures the most accurate network representation. The flexible representation of travel demand at the resolution of individual vehicles facilitates the capturing of sufficient vehicle and driver classes, vehicle performance and driving behavior distributions, inter-vehicle interactions, and temporally fine trajectories. Model outputs are saved at any desired granularity, and may be used to assess entire distributions of performance metrics to support reliability studies. Applications of the framework include the study of connected vehicles, Intelligent Transportation Systems (ITS), advanced tolling systems, and emissions modeling, and safety analysis. The above features are implemented with unparalleled computational performance so that large-scale networks may be handled without the need for accuracy-running time tradeoffs. The authors describe four real-world projects that clearly demonstrate the advantages of the microscopic DTA in practice.

• Record URL:
  https://doi.org/10.1016/j.trpro.2017.05.152
• Record URL:
  http://www.sciencedirect.com/science/article/pii/S2352146517304441
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/23521465
• Supplemental Notes:
  • © 2017 Qi Yang et al. Published by Elsevier B.V.
• Authors:
  • Yang, Qi
  • Balakrishna, Ramachandran
  • Morgan, Daniel
  • Slavin, Howard
• Conference:
  • World Conference on Transport Research - WCTR 2016
  • Location: Shanghai , China
  • Date: 2016-7-10 to 2016-7-15
• Publication Date: 2017

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; Maps; References;
• Pagination: pp 1290-1299
• Serial:
  • Transportation Research Procedia
  • Volume: 25
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 2352-1465
  • Serial URL: http://www.sciencedirect.com/science/journal/23521465/
• Publication flags:

  Open Access (libre)

Subject/Index Terms

• TRT Terms: Algorithms; Case studies; Dynamic traffic assignment; Geographic information systems; Intelligent transportation systems; Intelligent vehicles; Traffic congestion; Traffic signal timing; Traffic simulation; Vehicle trajectories
• Subject Areas: Highways; Operations and Traffic Management; Safety and Human Factors; Vehicles and Equipment;

Filing Info

• Accession Number: 01642309
• Record Type: Publication
• Files: TRIS
• Created Date: Jul 27 2017 10:05AM