Optimal deployment of autonomous vehicle lanes with endogenous market penetration
Optimal deployment of autonomous vehicle lanes with endogenous market penetration
复制标题
具有内生市场渗透力的自动车道优化部署
DOI：
10.1016/j.trc.2016.09.013
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发表时间：
2016-11-01
影响因子：
8.3
通讯作者：
Yin, Yafeng
中科院分区：
文献类型：
--
作者：
Chen, Zhibin;He, Fang;Yin, Yafeng
针对由传统车辆和自动驾驶汽车组成的交通网络，提出了一种基于时间的自动驾驶汽车（AV）车道配置方案优化的数学方法，以最小化社会成本和促进AV的采用。具体而言，AV车道是只能由AV使用的专用车道，部署计划指定何时，何地以及部署多少AV车道。首先，我们提出了一个多类网络的平衡模型来描述CV和AV的流量分布，给定的AV车道在网络中的存在。考虑到净效益（例如，由于自动驾驶车道的部署带来的出行成本降低）将进一步促进自动驾驶汽车的采用，我们继续应用扩散模型来预测自动驾驶汽车市场渗透率的演变。利用均衡模型和扩散模型，建立了一个时间相关的部署模型，并给出了求解算法。最后，基于南佛罗里达网络的数值例子来证明所提出的模型。(C)2016爱思唯尔有限公司版权所有。
This paper develops a Mathematical approach to optimize a time-dependent deployment plan of autonomous vehicle (AV) lanes on a transportation network with heterogeneous traffic stream consisting of both conventional vehicles (CVs) and AVs, so as to minimize the social cost and promote the adoption of AVs. Specifically, AV lanes are exclusive lanes that can only be utilized by AVs, and the deployment plan specifies when, where, and how many AV lanes to be deployed. We first present a multi-class network equilibrium model to describe the flow distributions of both CVs and AVs, given the presence of AV lanes in the network. Considering that the net benefit (e.g., reduced travel cost) derived from the deployment of AV lanes will further promote the AV adoption, we proceed to apply a diffusion model to forecast the evolution of AV market penetration. With the equilibrium model and diffusion model, a time-dependent deployment model is then formulated, which can be solved by an efficient solution algorithm. Lastly, numerical examples based on the south Florida network are presented to demonstrate the proposed models. (C) 2016 Elsevier Ltd. All rights reserved.