A Federated Simulation Platform for the Evaluation of Connected Vehicle Applications

  • Author / Creator
    Shao, Lin
  • Connected Vehicle (CV) technology is a promising advancement that has the potential to improve traffic safety and traffic efficiency, and support other Intelligent Transportation Systems (ITS) applications through facilitating vehicle-to-vehicle and vehicle-to-infrastructure communication. Since conducting a CV field test is costly, hazardous and uncontrollable, simulation becomes a preferable method for CV evaluation. Over the past decade, there have been several approaches proposed to implement a CV simulation platform; however, each approach has specific limitations. Most existing simulation platforms are not capable of supporting accurate, complex and large-scale applications. In response, this thesis proposes a new CV simulation platform, which is a federation of a commercial traffic simulator, VISSIM, and an open-source wireless network simulator, OMNeT++. This new platform supports large-scale simulations and comprehensive driving behaviors with high accuracy. Several traffic scenarios were evaluated under the dedicated short-range communication (DSRC) protocol to explore network latency issues. The findings reveal that network latency may become a significant issue when many vehicles attempts to communicate simultaneously. The research herein also evaluated advisory driving speed (ADS) in a CV environment. The results show the potential of CV technologies to solve both recurrent and non-recurrent bottleneck problems.

  • Subjects / Keywords
  • Graduation date
    Fall 2014
  • Type of Item
  • Degree
    Master of Science
  • DOI
  • License
    This thesis is made available by the University of Alberta Libraries with permission of the copyright owner solely for non-commercial purposes. This thesis, or any portion thereof, may not otherwise be copied or reproduced without the written consent of the copyright owner, except to the extent permitted by Canadian copyright law.