Parameter Calibration of Microscopic Simulation Model of Aviation Hub Curbside

The traffic flow of the aviation hub curbside is complex and changeable. Microscopic traffic simulation technology has become a necessary means to study the traffic characteristics of aviation hub curbside. To improve the effectiveness of the microscopic traffic simulation model of the aviation hub curbside, the calibration of model parameters was studied based on the idea of “engineering measurement of global parameters and intelligent optimization of local parameters.” First, equipment such as lidar and camera was used to collect the single vehicle motion behavior parameters and macroscopic traffic flow characteristic parameter set of the curbside. Then, the decision tree was used to carry out parameter sensitivity analysis. Finally, the genetic algorithm is used to determine the parameter value. The results show that the global parameter calibration and local parameter calibration of the simulation model can effectively improve the accuracy of the output results.

• Record URL:
  • https://doi.org/10.1061/9780784485040.022
• Record URL:
  • https://ascelibrary.org/doi/10.1061/9780784485040.022
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9780784485040
• Supplemental Notes:
  • © 2023 American Society of Civil Engineers.
• Corporate Authors:

  American Society of Civil Engineers

  1801 Alexander Bell Drive
  Reston, VA  United States  20191-4400
• Authors:
  • Song, Xiafei
  • Zhou, Chenjing
  • Cui, Xinyu
  • Nie, Xinyue
  • Dong, Zihang
• Conference:
  • 23rd COTA International Conference of Transportation Professionals
  • Location: Beijing , China
  • Date: 2023-7-14 to 2023-7-17
• Publication Date: 2023

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 225-234
• Monograph Title: CICTP 2023: Emerging Data-Driven Sustainable Technological Innovation in Transportation

Subject/Index Terms

• TRT Terms: Airport ground transportation; Calibration; Genetic algorithms; Hubs; Microscopic traffic flow; Traffic simulation
• Subject Areas: Aviation; Highways; Operations and Traffic Management; Terminals and Facilities;

Filing Info

• Accession Number: 01910456
• Record Type: Publication
• ISBN: 9780784485040
• Files: TRIS, ASCE
• Created Date: Feb 29 2024 11:32AM