Date of Award:
5-2013
Document Type:
Thesis
Degree Name:
Master of Science (MS)
Department:
Electrical and Computer Engineering
Committee Chair(s)
Tam Chantem
Committee
Tam Chantem
Committee
Edmund Spencer
Committee
Chris Winstead
Abstract
In intelligent transportation systems, most of the research work has focused on lane change assistant systems. No existing work considers minimizing the interruption of traffic flow by maximizing the number of lane changes while eliminating the collisions. In this thesis, we develop qualitative and quantitative approaches for minimizing the interruption of traffic flow for three lane scenarios and show that we can extend our approach to any random number of lanes. The algorithm we propose in this thesis is able to achieve the maximum number of lane changes provided that only one vehicle per group (novel concept which is described in this thesis) is allowed to change lanes at a time. Simulation results show that our approach provides much better performance when compared with different lane change algorithms without incurring large overhead, and is hence suitable for online use.
Checksum
e50832cc1b3e3f3ca005aa9852c68840
Recommended Citation
Desiraju, Divya, "Minimizing the Disruption of Traffic Flow of Automated Vehicles During Lane Changes" (2013). All Graduate Theses and Dissertations, Spring 1920 to Summer 2023. 2010.
https://digitalcommons.usu.edu/etd/2010
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