Highlights Cell transmission model in which the number of lanes may vary per cell-time. Integer program for single-link dynamic lane reversal with analysis. Markov decision process formulation for stochastic demand with heuristic solution. Heuristic significantly improved flow on single bottleneck link and city network.
Abstract Autonomous vehicles admit consideration of novel traffic behaviors such as reservation-based intersection controls and dynamic lane reversal. We present a cell transmission model formulation for dynamic lane reversal. For deterministic demand, we formulate the dynamic lane reversal control problem for a single link as an integer program and derive theoretical results. In reality, demand is not known perfectly at arbitrary times in the future. To address stochastic demand, we present a Markov decision process formulation. Due to the large state size, the Markov decision process is intractable. However, based on theoretical results from the integer program, we derive an effective heuristic. We demonstrate significant improvements over a fixed lane configuration both on a single bottleneck link with varying demands, and on the downtown Austin network.
A cell transmission model for dynamic lane reversal with autonomous vehicles
Tramsportation Research, Part C: Emerging Technologies ; 68 ; 126-143
2016-03-17
18 pages
Article (Journal)
Electronic Resource
English
A cell transmission model for dynamic lane reversal with autonomous vehicles
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