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A cell transmission model for dynamic lane reversal with autonomous vehicles

机译:无人驾驶汽车动态车道转向的单元传输模型

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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. (C) 2016 Elsevier Ltd. All rights reserved.
机译:自动驾驶汽车考虑了新颖的交通行为,例如基于预约的交叉路口控制和动态车道逆转。我们提出用于动态车道逆转的细胞传输模型公式。对于确定性需求,我们将单个链接的动态车道换向控制问题公式化为整数程序,并得出理论结果。实际上,在将来的任意时间都无法完全了解需求。为了解决随机需求,我们提出了马尔可夫决策过程公式。由于国家规模较大,因此马尔可夫决策过程非常棘手。但是,基于整数程序的理论结果,我们得出了一种有效的启发式方法。我们展示了在满足不同需求的单个瓶颈链路上以及在奥斯汀市中心网络上对固定车道配置的重大改进。 (C)2016 Elsevier Ltd.保留所有权利。

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