@inbook{599bd20df94844288d50d215cd7e6d5e,
title = "Distributed regret matching algorithm for a dynamic route guidance",
abstract = "This paper proposes a distributed self-learning algorithm based on the regret matching process in games for a dynamic route guidance. We incorporate a user's past routing experiences and en-route traffic information into their optimal route guidance learning. The numerical study illustrates that the proposed self-guidance method can effectively reduce the travel times and delays of guided users in congested situation.",
keywords = "Nash equilibrium, distributed learning, game, multiagent, route guidance",
author = "Tai-Yu Ma",
year = "2014",
doi = "10.1007/978-3-319-07650-8_12",
language = "English",
isbn = "978-3-319-07650-8",
series = "Advances in Intelligent Systems and Computing book series (AISC)",
publisher = "Springer",
pages = "107--116",
booktitle = "Agent and Multi-Agent Systems: Technologies and Applications",
address = "Germany",
}