A cell transmission model for dynamic lane reversal with autonomous vehicles |
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| Institution: | 1. Department of Civil, Environmental, and Geo- Engineering, 500 Pillsbury Drive S.E., Minneapolis, MN 55455-0116, United States;2. Department of Civil, Architectural and Environmental Engineering, The University of Texas at Austin, 301 E. Dean Keeton St. Stop C1761, Austin 78712-1172, TX, United States;1. Department of Civil and Environmental Engineering, King Fahd University of Petroleum and Minerals, P.O. Box 2053, Dhahran 31261, Saudi Arabia;2. Department of Civil and Environmental Engineering, King Fahd University of Petroleum and Minerals, P.O. Box 1503, Dhahran 31261, Saudi Arabia;1. Department of Civil and Environmental Engineering, University of Massachusetts Lowell One University Avenue, Lowell, MA 01854 United States;2. Department of Civil and Environmental Engineering, University of Wisconsin-Madison 2205 Engineering Hall, 1415 Engineering Drive, Madison, WI 53706 United States |
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| 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. |
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| Keywords: | Dynamic lane reversal Autonomous vehicles Cell transmission model Dynamic traffic assignment |
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