| 概要(Abstract) |
Traffic congestion in urban areas causes economic and time loss. Such traffic congestion comes from selfish routing, where users aim to minimize their own travel time. Even if a navigation system provides them with the recommended route, they may not obey the route, due to dissatisfaction with the expected travel time. In this presentation, inspired by the concept of Nudge, we propose the selfish yet optimal routing where all users rationally aim to minimize their own travel time but social optimal routing emerges from such selfish routing by adjusting their perceived traffic information appropriately. We propose a scheme to derive nudging traffic information that fills the gap between selfish routing criterion and altruistic one by internalizing the marginal cost into the perceived traffic information, which unconsciously results in the optimal routing. Through the numerical experiments, we demonstrate that the selfish yet optimal routing achieves almost the same performance compared with the optimal routing. In addition, the selfish yet optimal routing can reduce the travel time by 19.1% compared with the notification of actual traffic information, in case of the central-area road network of Nagoya city, Japan |