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A Federated Simulation Platform for the Evaluation of Connected Vehicle Applications Open Access


Other title
Intelligent Transportation Systems (ITS)
Connected Vehicle (CV)
Type of item
Degree grantor
University of Alberta
Author or creator
Shao, Lin
Supervisor and department
Zhijun (Tony), Qiu (Civil and Environmental Engineering)
Examining committee member and department
Hai, Jiang (Electrical and Computer Engineering)
Karim, El-Basyouny (Civil and Environmental Engineering)
Zhijun (Tony), Qiu (Civil and Environmental Engineering)
Department of Civil and Environmental Engineering
Transportation Engineering
Date accepted
Graduation date
Master of Science
Degree level
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.
Permission is hereby granted to the University of Alberta Libraries to reproduce single copies of this thesis and to lend or sell such copies for private, scholarly or scientific research purposes only. Where the thesis is converted to, or otherwise made available in digital form, the University of Alberta will advise potential users of the thesis of these terms. The author reserves all other publication and other rights in association with the copyright in the thesis and, except as herein before provided, neither the thesis nor any substantial portion thereof may be printed or otherwise reproduced in any material form whatsoever without the author's prior written permission.
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