Analysis of Relationships in Traffic Oscillation Features with Field Experiments

Understanding of propagation mechanisms and impacts of traffic oscillation largely relies on the relationships between a number of oscillation features, such as shift time, period, speed variation, spacing, headway, etc. Despite numerous theoretical models, only limited field experiments have been conducted to investigate traffic oscillation propagation, and the relationships between traffic oscillation features have not received quantitative analysis. This study conducts a set of field experiments designed to inspect such relationships. In these experiments, 15 vehicles equipped with high-resolution GPS devices following one another on public roads with different speed limits, and the lead vehicle is asked to move with designed trajectory profiles incorporating various traffic oscillation parameters. Five set of feature measurements are extracted from processing the field vehicle trajectory data. A serious of linear regression analyses are conducted to investigate the relationships of these features. The analyses ravel a number of new findings on the relationships between the features. For example, the authors find that interestingly, the shift time between two consecutive trajectories is positively correlated with the average speeds of the preceding vehicle, and the spacing between them. The findings are helpful in constructing new microscopic traffic models better describing traffic oscillation dynamics. To illustrate this benefit, a revised IDM (Intelligent Driver Model) is proposed to capture the relationship between the shift time and the other features. Finally, the simulation results of IDM and revised IDM demonstrates that the revised IDM gives a better prediction accuracy than IDM.

  • Supplemental Notes:
    • This paper was sponsored by TRB committee AHB45 Standing Committee on Traffic Flow Theory and Characteristics.
  • Corporate Authors:

    Transportation Research Board

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  • Authors:
  • Conference:
  • Date: 2019

Language

  • English

Media Info

  • Media Type: Digital/other
  • Features: Figures; References; Tables;
  • Pagination: 7p

Subject/Index Terms

Filing Info

  • Accession Number: 01698352
  • Record Type: Publication
  • Report/Paper Numbers: 19-02821
  • Files: TRIS, TRB, ATRI
  • Created Date: Dec 7 2018 9:53AM