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Identifying Optimal Traffic Operation Strategy Responses to Incident By Using Simulation-Based Optimization Model

Identifying the optimal incident response strategies from a regional perspective is a complex problem because of the large number of possible scenarios due to the combination of different type of control strategies, multiple time periods, different control parameters, and multiple locations. The optimization problem high-dimensional and nonlinear, and the underlying simulation model is time-consuming to run. This paper introduced an optimization framework that integrates the traffic simulation model with Simulation-Based Optimization (SBO) methods to identify the optimal traffic operation strategy combinations under incident conditions. This study presented a sequential method to further reduce the research space and improve the efficiency of the proposed model. The proposed model is applied on a real-world roadway network in Northern Virginia. Three different SBO algorithms are tested and compared, the performance of the proposed framework is discussed. The optimization results show the significant improvements of system total travel time and corridor congestion pattern.

  • Supplemental Notes:
    • This paper was sponsored by TRB committee AHB20 Standing Committee on Freeway Operations.
  • Corporate Authors:

    Transportation Research Board

    ,    
  • Authors:
    • Liu, Guanqi
    • Yang, Zhuo
    • Zhu, Shanjiang
  • Conference:
  • Date: 2019

Language

  • English

Media Info

  • Media Type: Digital/other
  • Features: Figures; References; Tables;
  • Pagination: 8p

Subject/Index Terms

Filing Info

  • Accession Number: 01697436
  • Record Type: Publication
  • Report/Paper Numbers: 19-05040
  • Files: TRIS, TRB, ATRI
  • Created Date: Mar 1 2019 3:50PM