Traffic Overflow Identification Method Based on Traffic Wave Theory

At present, traffic congestion has become an important issue in urban development. Due to the urban layout pattern and road conditions, overflows tend to occur on many of the shorter bottleneck paths. If traffic overflows are not relieved in a timely manner, serious congestion will form. Current research on the identification of traffic overflows is mostly based on engineering experience and is not objective enough. Therefore, this paper analyzes the mechanism of queue formation-diffusion-dissipation based on traffic wave theory and finds the relationship between traffic wave transmission and time headway through traffic simulation. This paper proposes the calculation formulae of maximum queue length, overflow safety distance, and secondary queue length. Then, it establishes the overflow judgment model. The feasibility of the model was verified through traffic simulation experiments. The research in this paper can provide a theoretical basis for the identification and determination of traffic overflows and for targeted overflow dissipation.

• Record URL:
  • https://doi.org/10.1061/9780784485040.063
• Record URL:
  • https://ascelibrary.org/doi/10.1061/9780784485040.063
• 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:
  • Zhang, Zishuo
  • Lv, Huizhe
  • Liu, Yuhang
  • Wang, Wei
  • Chen, Jun
• 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 647-658
• Monograph Title: CICTP 2023: Emerging Data-Driven Sustainable Technological Innovation in Transportation

Subject/Index Terms

• TRT Terms: Bottlenecks; Detection and identification system applications; Traffic congestion; Traffic models; Traffic queuing; Urban areas
• Subject Areas: Highways; Operations and Traffic Management; Planning and Forecasting;

Filing Info

• Accession Number: 01910595
• Record Type: Publication
• ISBN: 9780784485040
• Files: TRIS, ASCE
• Created Date: Mar 1 2024 8:55AM