研究者詳細 - 金森　亮

論文 - 金森　亮

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Developing an Agent-Based Simulator Combining Mesoscopic Traffic Simulator with Dynamic Vehicle Allocation System to Evaluate a Ride-Sharing Service in Urban Area

Mori Toshikatsu, Mizokami Shoshi, Kanamori Ryo, Liu Qiang

INTERNATIONAL JOURNAL OF INTELLIGENT TRANSPORTATION SYSTEMS RESEARCH 21 巻 ( 1 ) 頁： 115 - 128 2023年4月

出版者・発行元：International Journal of Intelligent Transportation Systems Research

In this study, we developed an advanced agent-based simulator which allows an agent-based mesoscopic traffic simulator to cooperate with a dynamic vehicle allocation system. This simulator can reproduce a dynamic vehicle allocation service in real world through its Web API. We implemented this simulator to evaluate ride-sharing taxi services in Kumamoto City to compare with the conventional taxi services. Based on simulation results, the ride-sharing taxi service is more effective. The average time from booking a ride to arriving at the intended destination was significantly reduced as the number of vehicles increased; however, the average occupancy rate of vehicles decreased.

DOI： 10.1007/s13177-022-00337-x

Web of Science

Scopus

Estimation Method of Parking Space Conditions Using Multiple 3D-LiDARs

Yamada Shunya, Watanabe Yousuke, Kanamori Ryo, Sato Kenya, Takada Hiroaki

INTERNATIONAL JOURNAL OF INTELLIGENT TRANSPORTATION SYSTEMS RESEARCH 20 巻 ( 2 ) 頁： 422 - 432 2022年8月

出版者・発行元：International Journal of Intelligent Transportation Systems Research

In the early stages of the spread of autonomous vehicles, it is conceivable to operate an automated valet parking system in parking lots where autonomous vehicles and non-autonomous vehicles coexist. Since non-autonomous vehicles may park beyond the parking space, it is necessary to estimate parking space conditions three-dimensionally. This paper proposes a method to estimate the parking space conditions using multiple 3D-LiDARs that can detect the space three-dimensionally. In the evaluation experiment, multiple 3D-LiDARs were installed in the parking lot of a public facility, and the estimation accuracy of the proposed method was evaluated in various situations.

DOI： 10.1007/s13177-022-00300-w

Web of Science

Scopus

Simulation Analysis on Benefits of Introducing Meeting Points Into On-Demand Shared Mobility Services

Nishida Ryo, Kanamori Ryo, Onishi Masaki, Noda Itsuki, Hashimoto Koichi

IEEE ACCESS 10 巻頁： 124114 - 124129 2022年

出版者・発行元：IEEE Access

We investigate the benefits of introducing meeting points (MPs) into on-demand shared mobility services (OSMS). OSMS generally provide door-to-door transportation between passengers' origins and destinations. In addition, services using specific pick-up/drop-off locations, which are called as MPs, are also deployed. The operational efficiency of OSMS could be improved by asking passengers to walk to an MP. Previous studies have found that the introduction of MPs can improve operational efficiency in terms of the number of vehicles, the vehicle kilometers traveled (VKT), and the rejection rate of passengers' requests. However, the travel time of passengers (i.e. passenger convenience) has not been sufficiently explored. The introduction of MPs may reduce the average travel time of passengers by reducing the number of detours. We conduct a static analysis under simple settings, and a simulation analysis using actual road network data. The effects of the introducing MPs are evaluated via various configurations such as MP locations, the number of passengers' requests, the number of vehicles, and vehicle capacity. Results showed that the introduction of MPs reduces VKT as well as average travel time of passengers when the number of demands is greater than 200 per hour in the same conditions on service provider.

DOI： 10.1109/ACCESS.2022.3224728

Web of Science

Scopus

オンデマンド・ライドシェア型荒尾「おもやいタクシー」の需要と運用に関するモデル，および実態分析

八戸龍馬, 森俊勝, 溝上章志, 金森亮, 松舘渉

土木学会論文集D3（土木計画学） 77 巻 ( 5 ) 頁： I_1023 - I_1035 2022年

記述言語：日本語出版者・発行元：公益社団法人土木学会

本研究では，，2020年 10 月 1 日から本格運行が始まった実質的な相乗りタクシーである荒尾「おもやいタクシー」について，その需要予測のための調査と転換モデルの推定，交通シミュレーションモデルとオンデマンドリアルタイム配車アルゴリズムを Web-APIで連携した運用シミュレーションモデルによる感度分析を行った．また，運用シミュレーションによる予測値と利用実態データとの比較を行うことによって転換モデルの更新を行うことを目的とする．

DOI： 10.2208/jscejipm.77.5_i_1023

CiNii Research

交通シミュレーションモデルを用いた都市部への相乗りタクシー導入の評価

森俊勝, 溝上章志, 金森亮, 松舘渉

土木学会論文集D3（土木計画学） 76 巻 ( 5 ) 頁： I_1321 - I_1330 2021年

記述言語：日本語出版者・発行元：公益社団法人土木学会

近年，採算の見合わないバス路線が減便・廃止され交通不便地帯が増加しており，その対策としてオンデマンド型相乗りタクシーシステムの導入が期待されている．しかし，新しい交通サービス導入時には，対象地域に適したサービス設計検討のために事前の導入効果の評価が重要となる．本研究では，熊本市中心部を対象としてエージェントベースのメソ交通シミュレータとオンデマンド型最適配車・経路探索システムを連携したシミュレーションを行い，現状のタクシー需要を前提とした相乗りタクシーの導入効果を検証した．その結果，相乗り車両台数を増加させることで利用者の目的地到着までの時間が大幅に短縮されたが，車両の稼働率が下がった．この結果から各時間帯の需要を予測し，適切な配車数や相乗り人数の調整が必要であることが示唆された．

DOI： 10.2208/jscejipm.76.5_I_1321

実データとシミュレーションを用いたMaaSの導入効果の評価

西田遼, 金森亮, 野田五十樹

人工知能学会全国大会論文集 2021 巻 ( 0 ) 頁： 2I3GS5b01 - 2I3GS5b01 2021年

記述言語：日本語出版者・発行元：一般社団法人人工知能学会

本研究では，マルチエージェント交通シミュレータと費用便益分析を用いたシミュレーションにより，MaaS の導入効果の評価を行う．事例として，2019年11月に静岡市で実施されたMaaS実証実験を使用する．この実証実験では，鉄道や路線バスに加え，オンデマンド型乗合サービスであるSAVS (Smart Access Vehicle Service) が導入された．シミュレータでは，SAVS車両と利用者をエージェントとして扱い，1日の交通状態を表現する．SAVS は配車経路最適化手法に，利用者は交通手段選択モデルに従って動く．またMaaS 導入の効果を定量的に評価するために，費用便益分析アプローチに従って，複数の観点（利用者・供給者・自治体など）からいくつかの指標を定義する．実データとシミュレーションを用いた分析の結果，MaaSの導入は費用効果の高い利益を生み出さなかったことがわかった．しかし，SAVSの車両数と料金を適切に設定すればサービスが成立することを示した．

DOI： 10.11517/pjsai.JSAI2021.0_2I3GS5b01

質的データに基づく新たなモビリティ・サービスの利用意向プロセスの分析

大野沙知子, 稲葉久之, 金森亮, 森川高行

都市計画報告集 19 巻 ( 3 ) 頁： 330 - 337 2020年12月

記述言語：日本語出版者・発行元：公益社団法人日本都市計画学会

本研究の目的は、新しいモビリティサービスの地域的な実装に向けて，地域住民の利用意向のプロセスを明らかにすることです。特に本稿では、新たなモビリティサービスとしてのモビリティ・ブレンドの日常利用につながる要素とプロセスに焦点を当てます。この目的のために、高蔵寺NTでの3つの社会実験の利用者へのインタビュー調査を実施しました。分析にはグラウンデッドセオリーアプローチ（GTA）が用いました。 GTAの結果、利用に関連する7つの要素が抽出されました。そして、GTAのカテゴリー関連の統合図によって、7つの要素から3つのプロセスを示しました。

DOI： 10.11361/reportscpij.19.3_330

CiNii Research

Study of older male drivers' driving stress compared with that of young male drivers

Zhao Yanning, Yamamoto Toshiyuki, Kanamori Ryo

JOURNAL OF TRAFFIC AND TRANSPORTATION ENGINEERING-ENGLISH EDITION 7 巻 ( 4 ) 頁： 467 - 481 2020年8月

記述言語：日本語出版者・発行元：Journal of Traffic and Transportation Engineering (English Edition)

In this study, older male drivers' stress while driving in straight links and while proceeding through intersections is investigated. Controller area network (CAN), self-reported stress (SRS), and physiological data was collected in 22.4 km-long experimental trips among older and young drivers. First, this study finds that older drivers reported much less stress than young drivers. However, principal components (PCs) of the physiological data demonstrate that older drivers might underrate their driving stress in entire trips, except regarding turning at intersections. Moreover, following other vehicles reduced older drivers' driving stress because preceding vehicles might help them control driving speed, detect the path, and prevent road risks. In contrast, the similar condition increased the stress level of young drivers. The results of random effects regression models confirm that age was the significant impact factor on SRS and physiological data. While examining whether the stress at intersections could affect their driving behaviors, significant difference between two age groups was found neither in turning time nor in the driving speed. This study also confirms that physical and mental changes with aging can negatively affect older adults' behaviors. Considering the relationships among stress, speed, and accidents, we suggest the provision of more driver assistance systems, training, and education and improving intersection design for older drivers.

DOI： 10.1016/j.jtte.2018.10.011

Web of Science

Scopus

Improving Coverage Rate for Urban Link Travel Time Prediction Using Probe Data in the Low Penetration Rate Environment

Tang Ruotian, Kanamori Ryo, Yamamoto Toshiyuki

SENSORS 20 巻 ( 1 ) 2020年1月

記述言語：日本語出版者・発行元：Sensors (Switzerland)

Short-term travel time prediction is an important consideration in modern traffic control and management systems. As probe data technology has developed, research interest has moved from highways to urban roads. Most research has only focused on improving the prediction accuracy on urban roads because it is the key index of evaluating a model. However, the low penetration rate of probe vehicles at urban networks may result in the low coverage rate which restricts prediction models from practical applications. This research proposed a non-parametric model based on Bayes’ theorem and a resampling process to predict short-term urban link travel time, which can enhance the coverage rate while maintaining the prediction accuracy. The proposed model used data from vehicles in both the target link and its crossing direction, so its coverage rate can be expanded, especially when the data penetration rate is low. In addition, the utilization of relationships between vehicles in both directions can reflect the influence of signal timing. The proposed model was evaluated in a computer simulation to test its robustness and reliability under different data penetration rates. The results implied that the proposed model has a high coverage rate, demonstrating stable and acceptable performance at different penetration rates.

DOI： 10.3390/s20010265

Web of Science

Scopus

PubMed

乗合と相乗りはどう違うか:モビリティシェアリング方式の整理と将来展開

中島秀之, 平田圭二, 田柳恵美子, 鈴木恵二, 金森亮, 野田五十樹, 岩村龍一, 松舘渉

人工知能学会全国大会論文集 2020 巻 ( 0 ) 頁： 3Rin436 - 3Rin436 2020年

記述言語：日本語出版者・発行元：一般社団法人人工知能学会

現在マスコミ等でMaaSが話題になることが多い．だが，注意深くみていると用語と中身のサービスの不一致が目に付く．研究者としては社会的混乱を防ぐ責務を感じるとともに，法制度の改定や社会実験の混乱を避けるためにも技術的観点からこれらの用語を整理する必要を感じている．また用語を整理することにより将来の新しいサービス展開の芽も見えてくる．同時にそれらを実現するための，今後の研究要素も浮き彫りにできると考える．我々は2013年以来，公共交通の即時配車・乗合運行サービス(SAVS)の開発と実証を重ねてきた経験を持っており，それに従って用語の整理を行うとともに，SAVS方式が最適の公共交通方式であることを示す．

DOI： 10.11517/pjsai.JSAI2020.0_3Rin436

Short-Term Urban Link Travel Time Prediction Using Dynamic Time Warping With Disaggregate Probe Data

Tang Ruotian, Kanamori Ryo, Yamamoto Toshiyuki

IEEE ACCESS 7 巻頁： 98959 - 98970 2019年

記述言語：日本語出版者・発行元：IEEE Access

There is increasing demand for short-term urban link travel time prediction to build an advanced intelligent transportation system (ITS). With the development of data collection technology, probe data are receiving more attention but the penetration rate of probe vehicles capable of sending probe data is still limited. Most research pertaining to short-term travel time prediction tends to aggregate probe data to obtain useful samples when the penetration rate is low. However, as a result, the prediction can only provide a general description of the travel time and changes in travel time during a short time interval are neglected. To overcome this limitation, a non-parametric model using disaggregate probe data based on dynamic time warping (DTW) was developed in this study. Data from the crossing direction are introduced to separate the data into different signal phases instead of identifying the exact signal pattern. A classical k-nearest neighbor (KNN) model and a naïve model were compared with the proposed model. The models were tested in three scenarios: a computer simulation and two real cases from Nagoya, Japan. The results showed that the proposed model outperforms the other two models under different data penetration rates because it can reflect changes in travel time during a traffic signal cycle. Moreover, the proposed model has wider applicability than the KNN model because it is free from the equal time interval constraint.

DOI： 10.1109/ACCESS.2019.2929791

Web of Science

Scopus

Traffic Flow Management at Intersections to Reduce the Congestion based on Link Transmission Model

TANG Ruotian, KANAMORI Ryo, YAMAMOTO Toshiyuki

Journal of the Eastern Asia Society for Transportation Studies 13 巻 ( 0 ) 頁： 815 - 830 2019年

記述言語：英語出版者・発行元：Eastern Asia Society for Transportation Studies

To solve the increasing urban congestion problem, intelligent transportation system (ITS) is drawing researchers' attention. Dynamic traffic assignment (DTA) has been recognized as a significant part of ITS solutions for a long time. Most DTA approaches focused on realizing single objectives by solving routing problems but paid less attention to the intersection which is the main bottleneck of urban networks. This paper proposes a method based on the link transmission model (LTM), which manages the traffic flow of each incoming link at the intersection, to reduce the congestion when route choices are determined in advance. This method employs a local linear programming formulation so it can be added to other DTA approaches which have different global objectives. The proposed model and other LTM-based models are tested by simulation data. Results show that the congestion level in the proposed model is lower than other models, while the travel cost remains similar.

DOI： 10.11175/easts.13.815

Data selection in machine learning for identifying trip purposes and travel modes from longitudinal GPS data collection lasting for seasons

Gong Lei, Kanamori Ryo, Yamamoto Toshiyuki

TRAVEL BEHAVIOUR AND SOCIETY 11 巻頁： 131 - 140 2018年4月

記述言語：日本語出版者・発行元：Travel Behaviour and Society

Application of machine learning methods shows a popular attempt to identify the purpose of a trip and mode of travel on Global Positioning System (GPS) trajectory data. Data selection for the training and test sets is important in these methods. However, the feasibility and effects of choosing these data from different periods of the year are still unknown. This detail is particularly important since collecting data via GPS decreases the burden on participants to such an extent that it can last for seasons which may own distinct features. In order to bridge this gap, this paper employs Aslan & Zech's test (AZ-test) and Random Forests (RF) successively to investigate the influence of data selection from different seasons for training and test sets. The dataset obtained in a city with distinct seasons, Hakodate, Japan, is used for our empirical analysis. The results of AZ-test suggest that explanatory variables of the two data sets from distinct seasons follow different distributions. Furthermore, it concludes that data set from two-seasons and data set from single season also follow different distributions. However, this test achieves some contradictory results in some cases. Due to this, RF is used to check how the accuracy varies in a further detail. RF confirms the findings by AZ-test in most cases. In addition, RF results show that including GIS features as explanatory variables has positive effect on the identification accuracy while including weather features has negative effect on the identification accuracy.

DOI： 10.1016/j.tbs.2017.03.004

Web of Science

Scopus

クルーズ訪問者を対象としたタクシー相乗りサービス社会実験

金森亮, 松舘渉, 和田真

人工知能学会全国大会論文集 2018 巻 ( 0 ) 頁： 4F1OS11c03 - 4F1OS11c03 2018年

記述言語：日本語出版者・発行元：一般社団法人人工知能学会

クルーズ船寄港地における地区内移動環境改善のため，Smart Access Vehicle Service：タクシー相乗りサービスの社会実験を鳥取県境港市で実施した．外国人訪問客の評価結果から活動圏域の拡大と消費額増大の可能性が確認され，今後のSAVSの応用について議論する．

DOI： 10.11517/pjsai.JSAI2018.0_4F1OS11c03

地域交通の未来像としてのスマートアクセスビークルサービス

中島秀之, 松舘渉, 松原仁, 平田圭二, 鈴木恵二, 田柳恵美子, 金森亮, 野田五十樹, 佐野渉二, 落合純一

人工知能学会全国大会論文集 2018 巻 ( 0 ) 頁： 4F2OS11d04 - 4F2OS11d04 2018年

記述言語：日本語出版者・発行元：一般社団法人人工知能学会

公共交通サービスの改善は世界中で喫緊の課題となっている．地域交通の世界的動向と日本のそれを比較する．そして新しい公共交通サービスとしてスマートアクセスビークルサービスを「サービスとしての移動性(MaaS)」の観点から記述する．

DOI： 10.11517/pjsai.JSAI2018.0_4F2OS11d04

名古屋市のタクシー配車データを用いたSmart Access Vehicle Service の効率性評価

落合純一, 金森亮, 平田圭二, 野田五十樹

人工知能学会全国大会論文集 2018 巻 ( 0 ) 頁： 1B2OS11b03 - 1B2OS11b03 2018年

記述言語：日本語出版者・発行元：一般社団法人人工知能学会

本稿では，名古屋市のタクシー配車データに基づき，Smart Access Vehicle Service（SAVS）をシミュレーション評価する．近年，デマンド応答型交通（DRT）は地方だけでなく都市部でも注目されてきているが，数時間前までの予約が必要など，利便性が高い交通サービスとは言えない．一方，SAVSはリアルタイムに提供可能なドア・ツー・ドアの交通サービスであるため，独占型の交通サービスであるタクシーを共有型に変換することが可能である．ODパターンとデマンド数が異なる4つの時間帯を対象にシミュレーションを行った結果，乗り合いによりSAVSはタクシーより効率的に配車できることを確認した．

DOI： 10.11517/pjsai.JSAI2018.0_1B2OS11b03

A Modification of the Stochastic Cell Transmission Model for Urban Networks

Tokuda Sho, Kanamori Ryo, Ito Takayuki

INTERNATIONAL JOURNAL OF INTELLIGENT TRANSPORTATION SYSTEMS RESEARCH 15 巻 ( 2 ) 頁： 73 - 84 2017年5月

記述言語：日本語出版者・発行元：International Journal of Intelligent Transportation Systems Research

This study proposes a modified stochastic cell transmission model (M-SCTM) that can apply the conventional SCTM to urban networks. SCTM represents the uncertainty of traffic states and changing travel demands or supply conditions and has also been applied to freeways or simple networks with only one origin–destination pair. In M-SCTM, we introduce vehicle agents and their route choice behavior on an urban network for applications to more complex urban networks. From the results of empirical studies, we compared M-SCTM and SCTM to confirm the former’s prediction accuracy and calculated its reproducibility of travel times.

DOI： 10.1007/s13177-015-0122-7

Web of Science

Scopus

Analysis of use characteristic change with parking fee change by utilizing accounting data

Kato T., Kanamori R., Yamamoto T., Morikawa T.

Design and Decision Support Systems in Architecture and Urban Planning - 13th International Conference on Design and Decision Support Systems in Architecture and Urban Planning, DDSS 2016 2016年

記述言語：日本語出版者・発行元：Design and Decision Support Systems in Architecture and Urban Planning - 13th International Conference on Design and Decision Support Systems in Architecture and Urban Planning, DDSS 2016

The accumulated parking accounting data is expected to utilize actively for setting an appropriate parking fee structure in accordance with characteristics of parking utilization. This research shows typical usage patterns of parking lot by using the accounting data. As our findings, a transition of cluster can understand as a change of parking usage pattern. The characteristics of parking usage is changed significantly by improvement of parking fee structure and also affects revenue.

Scopus

Evaluation of Deposit-Based Road Pricing Scheme by Agent-Based Simulator

Kanamori Ryo, Yamamoto Toshiyuki, Morikawa Takayuki

PRICAI 2016: TRENDS IN ARTIFICIAL INTELLIGENCE 9810 巻頁： 738 - 749 2016年

記述言語：日本語出版者・発行元：Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Parking Deposit System (PDS) is proposed to improve public acceptance of road pricing (RP), which can reduce effectively traffic congestion and air pollution. This study examines the characteristics of PDS and conventional cordon-based RP in terms of efficiency and equity. In order to evaluate income regressive effects as equity, we develop a multi-agent based simulator which can consider user’s mode and route choice behaviors for several income classes. The results of empirical analysis at the Nagoya Metropolitan Area suggest the followings in comparison with conventional RP: (1) PDS gives sufficient environmental improvement by reducing car use, although the effect of decreases by refund, and (2) PDS is more equitable because it is a kind of revenue allocation scheme.

DOI： 10.1007/978-3-319-42911-3_62

Web of Science

Scopus

移動スケジュール推薦システムを利用した移動目的の取得と精度の検証

高比良諭, 金森亮, 伊藤孝行

情報処理学会研究報告. ICS, [知能と複雑系] 2015 巻 ( 12 ) 頁： 1 - 8 2015年3月

記述言語：日本語出版者・発行元：一般社団法人情報処理学会

都市交通などの社会システムの改変にはシミュレーションによる評価が有効である.シミュレーションに利用するデータ収集方法としては,従来からよく用いられ行政主導で行われるパーソントリップ調査や,GPS 機能を搭載した携帯電話やスマートフォンのログを収集する手法などが挙げられるが,調査期間を区切って行うことが多い.長期間のデータ収集では被験者の負担が増大するため,長期に渡る調査を行なっても被験者の負荷が小さく,継続的なデータ収集を可能とするシステム構築が望まれる.本研究では,毎日利用するスケジュール帳に着目し,移動状況の計算を同一サイトのアプリケーション上で自動的に行い,ユーザに示すプログラムを作成し評価実験を行った.また,本システムを通して得られるデータの特性につて,調査を行った.

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