Development of a Simulation Test Bed for Connected Vehicles using the LSU Driving Simulator

The development and deployment of a fully connected transportation system has received special attention from the United States Department of Transportation (USDOT) and stakeholders in the last couple of years. Connected vehicles rely on Vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communication technologies. The technological component of connected vehicles requires a robust platform that allows for not only creativity and interoperability, but also the ability to interact with the complex human behavior. Yet, researchers have to first answer several questions on how effective the applications will be and what benefits can be realized, what infrastructure is needed, what market penetration is required, what technologies should be adopted, among others. Connected vehicles research relies on the use of test beds to address the potential problems associated with the development and deployment of V2V and V2I technologies. Test beds for connected vehicles research can also be used for testing real time data capture and management systems, as well as testing the integration and interoperability of connected vehicles, mobile devices, and highway infrastructure. Along with the physical platforms for test beds, simulation-based test beds can also be harnessed to achieve similar goals. More specifically, driving simulators are a high fidelity human-in-the-loop simulation platform that has a great potential to serve as a connected vehicles test bed. With the recent acquisition of the Louisiana State University (LSU) driving simulator, the development of a simulation test bed for connected vehicles is now possible. In essence, the primary goal of this study is to develop a driving simulator-based test bed for connected vehicles. The idea of using driving simulators as a test bed for connected vehicles research is innovative and has not been explored yet. The project outcomes may lead to improvements vehicle safety and driver information technologies leading to an over reduction in the economic cost of traffic accidents and congestion. It is expected that the research outcomes will be disseminated through various publications and presentation. On a local level, the findings may be presented to Louisiana Department of Transportation and Development officials. Over the long term it is expected that this will incrementally advance the state of practice in connected vehicle technology, improving the movement of people and goods throughout the country. Historically, improvements in vehicle technology and traffic operations have occurred through an evolutionary process with incremental changes made over long periods of time. The impact and benefits of this research to the overall public will advance the state-of-knowledge allowing for a safer and more efficient transportation system.


  • English


  • Status: Completed
  • Funding: $103879.00
  • Contract Numbers:


  • Sponsor Organizations:

    National Transportation Center @ Maryland

    1173 Glenn L. Martin Hall
    University of Maryland
    College Park, Maryland  United States  20742
  • Project Managers:

    Zhang, Lei

  • Performing Organizations:

    Louisiana State University, Baton Rouge

    Civil & Environmental Engineering Department
    3418A Patrick Taylor Hall
    Baton Rouge, Louisiana  United States  70803
  • Principal Investigators:

    Ishak, Sherif

  • Start Date: 20131001
  • Expected Completion Date: 0
  • Actual Completion Date: 20160229
  • Source Data: RiP Project 37170

Subject/Index Terms

Filing Info

  • Accession Number: 01593398
  • Record Type: Research project
  • Source Agency: National Transportation Center @ Maryland
  • Contract Numbers: DTRT13-G-UTC30
  • Files: UTC, RIP
  • Created Date: Mar 10 2016 1:00AM