Real-time traffic management to maximize throughput of automated vehicles.
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2015-03-01
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Abstract:In intelligent transportation systems, most of the research work has focused on lane change assistant
systems. No existing work considers minimizing the disruption 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 disruption of traffic flow for three lane scenarios and show that we can
extend our approach to an arbitrary number of lanes. The proposed algorithm is able to achieve the
maximum number of lane changes. 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.
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