Modeling the Spatiotemporal Propagation Characteristics of Information under Vehicle-to-Vehicle Communications

Modeling the spatiotemporal propagation characteristics of information under vehicle-to-vehicle (V2V) communications is critical for developing information-enabled applications to improve traffic safety and mobility. Existing analytical approaches assume instantaneous information flow propagation to simplify the communication constraints arising from the traffic flow dynamics. Consequently, information flow propagation characteristics such as the information flow propagation wave have not been analyzed. They are necessary to describe the interactions with the underlying traffic flow dynamics. An analytical model, which integrates an epidemic model with a traffic flow model, is developed to account for such interactions. The proposed model is able to capture the dynamics of information flow and traffic flow in an integrated formulation that circumvents key analytical and numerical challenges. Results from computational experiments demonstrate the effectiveness of the proposed model and its ability to describe the dynamic characteristics of information flow propagation along with the traffic flow dynamics.

• Supplemental Notes:
  • This paper was sponsored by TRB committee AHB15 Intelligent Transportation Systems.
• Corporate Authors:

  Transportation Research Board

  500 Fifth Street, NW
  Washington, DC  United States  20001
• Authors:
  • Kim, Yong Hoon
  • Peeta, Srinivas
  • He, Xiaozheng
• Conference:
  • Transportation Research Board 94th Annual Meeting
  • Location: Washington DC, United States
  • Date: 2015-1-11 to 2015-1-15
• Date: 2015

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; References; Tables;
• Pagination: 18p
• Monograph Title: TRB 94th Annual Meeting Compendium of Papers

Subject/Index Terms

• TRT Terms: Methodology; Real time information; Traffic flow rate; Traffic models; Vehicle to vehicle communications
• Uncontrolled Terms: Information flow
• Subject Areas: Data and Information Technology; Highways; I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 01555255
• Record Type: Publication
• Report/Paper Numbers: 15-1835
• Files: TRIS, TRB, ATRI
• Created Date: Feb 26 2015 10:05AM