A DTA-Based Network Extraction and Zonal Aggregation Procedure for Subarea Analysis of ITS Deployment Alternatives

Substantial development in Dynamic traffic assignment (DTA) methods has resulted in a new generation of applicable DTA-based tools for operational planning and evaluation of ITS deployment. However, the computational intensiveness of simulation-based DTA methodologies places limitations on the application of such tools to large-scale networks. To allow the consideration and rapid evaluation of large number of scenarios, a subarea analysis capability is critically needed to support transportation network planning and operations decisions for situations that may not require analysis on a complete network representation. This paper describes a two-stage subarea network extraction and zonal aggregation procedure using a simulation-based DTA model. The first stage extracts a subarea network from the original network and generates an induced OD demand matrix. Based on an iterative bi-level subarea OD estimation method, the second stage finds a consistent network flow pattern by utilizing the induced OD demand information in combination with network assignment results and archived traffic measurements in the subarea network. The proposed procedure was applied to the Southern California Association of Governments (SCAG) regional transportation planning network.

• Corporate Authors:

  ITS America

  1100 17th Street, NW, 12th Floor
  Washington, DC  United States  20036
• Authors:
  • Erdogan, Sevgi
  • Zhou, Xuesong
  • Mahmassani, Hani S
• Conference:
  • 12th World Congress on Intelligent Transport Systems
  • Location: San Francisco California, United States
  • Date: 2005-11-6 to 2005-11-10
• Publication Date: 2005

Language

• English

Media Info

• Media Type: Print
• Features: CD-ROM; References; Tables;
• Pagination: 12p
• Monograph Title: Proceedings of the 12th World Congress on Intelligent Transport Systems

Subject/Index Terms

• TRT Terms: Demand; Dynamic traffic assignment; Estimation theory; Intelligent transportation systems; Methodology; Network analysis (Planning); Origin and destination; Public transit; Simulation; Transportation planning; Zoning
• Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management; Planning and Forecasting; Public Transportation; I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 01015910
• Record Type: Publication
• Files: TRIS
• Created Date: Dec 16 2005 10:24AM