2016
DOI: 10.1016/j.trc.2016.03.007
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A cell transmission model for dynamic lane reversal with autonomous vehicles

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 f… Show more

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Cited by 90 publications
(35 citation statements)
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References 26 publications
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“…Talebpour et al (2017) simulated the traffic flow dynamics under mandatory/optional AV lane use and limited/ non-limited autonomous driving mode. Levin and Boyles (2016b) put forward a dynamic lane reversal scheme to address the flow imbalance in opposite directions. Chen et al (2017) proposed a concept of the restricted area called AV zone.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Talebpour et al (2017) simulated the traffic flow dynamics under mandatory/optional AV lane use and limited/ non-limited autonomous driving mode. Levin and Boyles (2016b) put forward a dynamic lane reversal scheme to address the flow imbalance in opposite directions. Chen et al (2017) proposed a concept of the restricted area called AV zone.…”
Section: Literature Reviewmentioning
confidence: 99%
“…[22] 提出了 基于元胞传输模型的动态交通分配模型, 允许自动车 和常规车共享道路. 在此基础模型上, Duell等人 [23] 与 Levin和Boyles [24] 在时空两个维度上研究了动态可变车 道的控制方法, Levin和Khani [25] 考虑了动态自动公交 专用车道规划问题. Wang等人 [26] 利用变分不等式建立 了一个混合交通分配模型, 定量地刻画了自动驾驶交 通流和非自动驾驶交通流在网络上的均衡分布.…”
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“…A study of Levin and Boyles [13] probably comes closest to the concept presented in this paper. However, it considers a dynamic lane reversal, where the number of lanes for each direction can be changed dynamically based on the traffic conditions, but never fully separated in a lane-directional traffic fashion.…”
Section: Literature Reviewmentioning
confidence: 56%