Accounting for Random Driving Behavior and Nonlinearity of Backward Wave Speeds in the Cell Transmission Model

The cell transmission model (CTM), developed by Daganzo in 1994, has been used in support of a variety of transportation applications primarily because of its simplicity and relatively accurate representation of traffic flows. In the original formulation of CTM the model parameters are intrinsically deterministic, even when allowed to be time dependent. Random variations in traffic networks may play a significant role in determining the representation accuracy, especially for operational analysis. This study presents a modification to the modeling equation of CTM to account for the effect of random driving behavior on traffic flow representation. Although, the original CTM is formulated as a macroscopic model this study uses a modified mesoscopic version to account for short-term fluctuations in its macroscopic parameters using their corresponding microscopic measures. Moreover, observed nonlinearity of backward moving wave speeds is explicitly modeled in CTM using vehicles trajectory data from the Next-Generation Simulation (NGSIM) project. This was achieved by modeling the variations in backward moving wave speeds under congested traffic conditions during queue formation and recovery periods. A six-mile segment of the I-10 corridor in Baton Rouge, Louisiana, was used to evaluate the individual and combined effects of random driving behavior and dynamic variations in wave speeds on the simulation performance of CTM.


  • English

Media Info

  • Media Type: CD-ROM
  • Features: Figures; References; Tables;
  • Monograph Title: TRB 86th Annual Meeting Compendium of Papers CD-ROM

Subject/Index Terms

Filing Info

  • Accession Number: 01049347
  • Record Type: Publication
  • Report/Paper Numbers: 07-0663
  • Files: TRIS, TRB
  • Created Date: Feb 8 2007 5:15PM