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Mixed Autonomy in Ride-Sharing Networks
IEEE Transactions on Control of Network Systems ( IF 4.2 ) Pub Date : 2020-08-13 , DOI: 10.1109/tcns.2020.3016628
Qinshuang Wei , Ramtin Pedarsani , Samuel Coogan

We consider ride-sharing networks served by human-driven vehicles (HVs) and autonomous vehicles (AVs). We propose a model for ride-sharing in this mixed autonomy setting for a multilocation equidistant network, in which a ride-sharing platform sets prices for riders, compensations for drivers of HVs, and operates AVs for a fixed price with the goal of maximizing profits. When there are more vehicles than riders at a location, we consider three vehicle-to-rider assignment possibilities: 1) rides are assigned to HVs first; 2) rides are assigned to AVs first; and 3) rides are assigned in proportion to the number of available HVs and AVs. Next, for each of these priority possibilities, we establish a nonconvex optimization problem characterizing the optimal profits for a network operating at a steady-state equilibrium. We then provide a convex problem which we show to have the same optimal profits, allowing for efficient computation of equilibria, and we show that all three priority possibilities result in the same maximum profits for the platform. Next, we show that, in some cases, there is a regime, for which the platform will choose to mix HVs and AVs in order to maximize its profit, while, in other cases, the platform will use only HVs or only AVs, depending on the relative cost of AVs. For a specific class of networks, we fully characterize these thresholds analytically and demonstrate our results on an example.

中文翻译:

拼车网络中的混合自治

我们考虑了由人力驱动的车辆(HV)和自动驾驶的车辆(AV)提供的乘车共享网络。我们提出了一种在多地点等距网络的这种混合自治环境中的乘车共享模型,其中,乘车共享平台为乘员确定价格,为HV的驾驶员提供补偿,并以固定价格运营AV,以实现利润最大化的目标。 。如果某个地点的车辆多于乘员,我们考虑三种车辆到驾驶员的分配可能性:1)首先将乘车分配给HV。2)首先将游乐设施分配给AV;3)按照可用的HV和AV的数量分配乘车。接下来,对于这些优先级可能性中的每一个,我们建立一个非凸优化问题,该问题描述了在稳态平衡下运行的网络的最优利润。然后,我们提供了一个凸问题,我们证明了它具有相同的最佳利润,从而可以高效地计算均衡,并且我们证明所有这三种优先级可能性都为平台带来了相同的最大利润。接下来,我们表明,在某些情况下,存在一种机制,平台将选择混合使用HV和AV来最大化其利润,而在其他情况下,平台将仅使用HV或仅使用AV,具体取决于AV的相对成本。对于特定类别的网络,我们将通过分析全面描述这些阈值,并在一个示例中证明我们的结果。有一种机制,平台将选择混合使用HV和AV,以使其利润最大化,而在其他情况下,平台将仅使用HV或仅使用AV,具体取决于AV的相对成本。对于特定类别的网络,我们将通过分析全面描述这些阈值,并在一个示例中证明我们的结果。有一种机制,平台将选择混合使用HV和AV,以使其利润最大化,而在其他情况下,平台将仅使用HV或仅使用AV,具体取决于AV的相对成本。对于特定类别的网络,我们将通过分析全面描述这些阈值,并在一个示例中证明我们的结果。
更新日期:2020-08-13
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