内容紹介

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

詳細情報

刊年

2021

形態

電子化映像資料(40分11秒）

シリーズ名

情報科学領域・コロキアム ; 2021年度

注記

講演者所属: 情報科学領域

講演日: 2021年6月21日 3限

講演場所: 情報科学棟中講義室(L2)

標題言語

英語 (eng)

本文言語

英語 (eng)

著者情報

Hara, Takanori