@techreport{oai:ipsj.ixsq.nii.ac.jp:00045500,
 author = {市河, 研一 and 杵渕, 哲也 and 金澤, 昭浩 and 鈴木, 章 and 小池, 秀樹 and 蔵屋, 孝 and 中井, 章文 and Kennich, ICHIKAWA and Tetsuya, KINEBUCHI and Akihiro, KANAZAWA and Akira, SUZUKI and Hideki, KOIKE and Takashi, KURAYA and Akifumi, NAKAI},
 issue = {90(2007-ITS-030)},
 month = {Sep},
 note = {VICS(Vehicle Information and Communication System)交通'情報を利用して，リンク旅行時間が提供されていない道路のリンク旅行時間を，その渋滞情報から精度良く推計する方法を提案する．本手法では(1)リンク旅行時間とリンク渋滞情報が提供されている道路において，渋滞度と正規化された旅行時間を回帰分析することで渋滞度から正規化旅行時間を算出する変換係数を求め (2)得られた変換係数と各道路の道路種別や規制速度といった道路属性との関連を質的変数に拡張した重回帰分析を行い，(3)その分析結果に基づき，旅行時間未提供リンクの道路属性から渋滞度と正規化旅行時間の変換係数を算出し，これを用いて旅行時間未提供リンクの旅行時間をその渋滞状況から推計する．全国の一般道についてその推計精度を評価し，良好な結果を得た．, Authors are developing a travel time estimation method that eliminates one of the weaknesses of VICS (Vehicle Information and Communication System). To determine the travel times of all possible travel toutes we need the travel time of all individual roads. Unfortunately, VICS doesn't provide the travel time for quite a few roads in Japan. VICS does, however, provide information on traffic jam data on all individual roads. This paper proposes to use the trafic jam data to estimate the travel times of the roads not covered by VICS. The proposed method first applies regression analysis to the trafic jam data of roads whose travel times are known to VICS and the travel times to determine the coefficient of transformation. Next, various road attributes (road category and restriction speed etc. of each road) are subjected to multi-regression analysis to optimize the coefficient of transformation. Finally, for roads whose travel times are not known to VICS, the proposed method applies the new coefficient of transformation. Authors conduct an experiment that confirms the method's excellent accuracy on general roads throughout the country.},
 title = {渋滞情報からの旅行時間推計},
 year = {2007}
}