Intermodal Autonomous Mobility-on-Demand
Intermodal Autonomous Mobility-on-Demand
复制标题
多式联运自主按需出行
DOI：
10.1109/tits.2019.2950720
复制
发表时间：
2020
影响因子：
8.5
通讯作者：
M. Pavone
中科院分区：
文献类型：
--
作者：
Mauro Salazar;Nicolas Lanzetti;Federico Rossi;Maximilian Schiffer;M. Pavone
在本文中，我们研究了多式联运按需自主移动（AMoD）的模型和协调策略，其中自动驾驶车辆车队与公共交通一起提供按需移动。具体而言，我们首先提出了多式联运AMoD的网络流模型，其中我们捕获了AMoD与公共交通之间的耦合，目标是最大化社会福利。其次，利用这样的模型，我们设计了一个定价和收费方案，使系统在假设存在自私主体的完美市场的情况下恢复到社会最优。第三，我们提出了纽约市和柏林交通网络的现实案例研究，这使我们能够量化多式联运AMoD的总体效益，以及不同车辆的社会影响。特别是，我们表明车辆尺寸和动力系统类型严重影响多式联运路线决策，从而影响系统效率。我们的研究表明，与单独运行的AMoD系统相比，AMoD车队和公共交通之间的合作可以产生显着的效益，而我们提出的收费政策似乎与纽约市最近的讨论一致。
In this paper we study models and coordination policies for intermodal Autonomous Mobility-on-Demand (AMoD), wherein a fleet of self-driving vehicles provides on-demand mobility jointly with public transit. Specifically, we first present a network flow model for intermodal AMoD, where we capture the coupling between AMoD and public transit and the goal is to maximize social welfare. Second, leveraging such a model, we design a pricing and tolling scheme that allows the system to recover a social optimum under the assumption of a perfect market with selfish agents. Third, we present real-world case studies for the transportation networks of New York City and Berlin, which allow us to quantify the general benefits of intermodal AMoD, as well as the societal impact of different vehicles. In particular, we show that vehicle size and powertrain type heavily affect intermodal routing decisions and, thus, system efficiency. Our studies reveal that the cooperation between AMoD fleets and public transit can yield significant benefits compared to an AMoD system operating in isolation, whilst our proposed tolling policies appear to be in line with recent discussions for the case of New York City.