自動運転オンデマンド交通と公共交通の連携
On the Interaction between Autonomous Mobility-on-Demand and Public Transportation Systems
自動運転オンデマンド交通(AMoD)と公共交通を組み合わせたネットワークフローモデルを構築し、社会厚生を最大化する料金・課金スキームを設計。ニューヨーク市の実データで連携の効果を検証した。
著者: Mauro Salazar, Federico Rossi, Maximilian Schiffer, Christopher H. Onder, Marco Pavone
分類: eess.SY, cs.RO, cs.SY
原文アブストラクト
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 to achieve the social optimum under the assumption of a perfect market with selfish agents. Finally, we present a real-world case study for New York City. Our results show that the coordination between AMoD fleets and public transit can yield significant benefits compared to an AMoD system operating in isolation.
