Commercial Vehicle Secure Network for Safety and Mobility Applications

This research project will propose to develop an integrated high-performance, robust and secure vehicular network for supporting heavy vehicles safety and mobility applications. The integrated network system supports vehicle-to-vehicle (V2V), vehicle-to-infrastructure (V2I) and in-vehicle communications based on dedicated short-range communications (DSRC) radio, so that safety and mobility data of heavy vehicles can be transmitted and shared among vehicles and with road-side base stations. To support different types of communications and avoid co-channel interference in networks, we proposed a cluster based network architecture in which clusterhead nodes (CN) or infrastructure nodes (IN) serve as a coordinator to dynamically allocate channels to member nodes requesting to send data. V2V communication is performed between vehicles which are a few hops away from each other. This multi-hop technique has not been examined in the U.S. IntelliDrive Program and offers the potential to enhance communications connectivity in the early phase of deployment. When no connected unicast path is available, V2I communication will help forward packets. This project will use connectivity aware routing and XOR-based network coding to ensure high-performance and robust communication. For efficient broadcasting of emergency safety messages, data aggregation algorithms will be performed on duplicated messages and only necessary knowledge will be broadcasted in networks. Considering the security requirements of data communication in vehicular networks, we propose a secure protocol based on a fixed key infrastructure that establishes stronger security in comparison with dynamic structures. Using trucks at Auburn National Center for Asphalt Technology (NCAT), the proposed network system will be implemented and its data delivery ratio, network delay and network throughput will be evaluated. Global positioning system (GPS) receivers will be mounted on two trucks and the trailers to investigate relative positioning accuracy from differential GPS methods. Data will be collected and analyzed to determine the relative position accuracy, robustness, and availability of relative position measurements for cooperative vehicle control strategies.


  • English


  • Status: Active
  • Contract Numbers:



  • Sponsor Organizations:

    Research and Innovative Technology Administration

    University Transportation Centers Program
    1200 New Jersey Avenue
    Washington, DC  United States  20590
  • Project Managers:

    Petrolino, Joseph

  • Performing Organizations:

    Auburn University

    Auburn, AL  United States  36830
  • Principal Investigators:

    Lim, Alvin

  • Start Date: 20101101
  • Expected Completion Date: 0
  • Actual Completion Date: 20110731
  • Source Data: RiP Project 28155

Subject/Index Terms

Filing Info

  • Accession Number: 01463668
  • Record Type: Research project
  • Source Agency: National Transportation Research Center, Incorporated
  • Contract Numbers: DTRT-06-G-0043, U29
  • Files: UTC, RiP, USDOT
  • Created Date: Jan 3 2013 2:28PM