An Agent-Based Day-to-Day Traffic Evolution Model Using Percolation Theory

This paper explores the impact of information sharing on road traffic networks using a two-layer, agent-based, and day-to-day traffic network model. The first layer (cyber layer) represents a conceptual communication network where travellers share travel information. The second layer (physical layer) captures the day-to-day operations in a transport network where individual travellers seek to minimize their own travel costs. A key hypothesis in this model is that instead of having perfect information, travellers form individual groups, in which travel information is shared and utilized for routing decisions. The formation of groups occurs in the cyber layer according to percolation theory, which describes the formation of connected clusters (groups) in a random graph. This is the first paper to use percolation theory to capture the disaggregated and distributed nature of travel information sharing. The authors present a numerical study that focuses on the convergence of the transport network, when a range of percolation rates are considered. The findings suggest a positive correlation between the percolation rate and the speed of convergence, which is validated through statistical analysis.

• Supplemental Notes:
  • This paper was sponsored by TRB committee ADB30 Standing Committee on Transportation Network Modeling.
• Corporate Authors:

  Transportation Research Board

  500 Fifth Street, NW
  Washington, DC  United States  20001
• Authors:
  • Shang, Wenlong
  • Han, Ke
  • Ochieng, Washington
• Conference:
  • Transportation Research Board 95th Annual Meeting
  • Location: Washington DC, United States
  • Date: 2016-1-10 to 2016-1-14
• Date: 2016

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; References; Tables;
• Pagination: 19p
• Monograph Title: TRB 95th Annual Meeting Compendium of Papers

Subject/Index Terms

• TRT Terms: Advanced traveler information systems; Intelligent agents; Networks; Real time information; Routing; Traffic models
• Subject Areas: Data and Information Technology; Highways;

Filing Info

• Accession Number: 01595094
• Record Type: Publication
• Report/Paper Numbers: 16-5882
• Files: TRIS, TRB, ATRI
• Created Date: Mar 31 2016 9:32AM