Publications
Journal Article
湯浅 剛, 田中 健次, 長濱 章仁, 横川 慎二, 山田 哲男. "スマートシティ実現に向けた都市設計における局所大気環境改善のための交通量と大気質の同地点測定." 日本設備管理学会誌 36.1 (2024): accepted.
Atsunobu Sagara, Akihito Nagahama, Hayato Aki, Hiroki Yoshimura, Makoto Hiraide, Takatsune Shimizu, Motohiko Sano, Tetsuro Yumoto, Tomoo Hosoe, Kenji Tanaka. "Potential risk of driving performance under combined conditions of taking second-generation antihistamines and attending calls using a hands-free function." Traffic Injury Prevention (2023): published online.
Link to accepted ver.The Version of Record of this manuscript has been published and is available in Traffic Injury Prevention (date of publication: 10 Oct., 2023) https://www.tandfonline.com/doi/full/10.1080/15389588.2023.2265002.
Akihito Nagahama. "Learning and predicting the unknown class using evidential deep learning." Scientific Reports 13 (2023): 14904.
DOI: https://doi.org/10.1038/s41598-023-40649-wYuming Dong, Xiaolu Jia, Daichi Yanagisawa, Akihito Nagahama, and Katsuhiro Nishinari. "Optimization of transition behaviors in a two-lane system." Physica A: Statistical Mechanics and its Applications (2022): 128315.
Link to published ver. (50 days available)
DOI: https://doi.org/10.1016/j.physa.2022.128315Xiaolu Jia, Claudio Feliciani, Hisashi Murakami, Akihito Nagahama, Daichi Yanagisawa, and Katsuhiro Nishinari. "Revisiting the level-of-service framework for pedestrian comfortability: Velocity depicts more accurate perceived congestion than local density." Transportation Research Part F: Traffic Psychology and Behaviour 87 (2022): 403-425.
Open accessDOI: https://doi.org/10.1016/j.trf.2022.04.007Takumi Tatehara, Akihito Nagahama, and Takahiro Wada. "Online Maneuver Learning and its Real-Time Application to Automated Driving System for Obstacles Avoidance." IEEE Transactions on Intelligent Vehicles 8 (4) (2022):3144-3153.
Link to accepted ver.© 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.DOI: http://dx.doi.org/10.1109/TIV.2022.3146622
Akihito Nagahama, Takahiro Wada, Daichi Yanagisawa, and Katsuhiro Nishinari. "Certain Types of Vehicles in Heterogeneous Traffic in India Tend to Gather." Journal of the Eastern Asia Society for Transportation Studies 14 (2021): 1794-1813.
Open accessAkihito Nagahama, Takahiro Wada, Daichi Yanagisawa, and Katsuhiro Nishinari. "Detection of leader–follower combinations frequently observed in mixed traffic with weak lane-discipline." Physica A: Statistical Mechanics and its Applications 570 (2021): 125789.
Link to accepted ver. License: CC BY-NC-NDDOI: https://doi.org/10.1016/j.physa.2021.125789Akihito Nagahama, Takahiro Saito, Takahiro Wada, and Kohei Sonoda. "Autonomous Driving Learning Preference of Collision Avoidance Maneuvers." IEEE Transactions on Intelligent Transportation Systems (2020).
Link to accepted ver.© 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.DOI: https://doi.org/10.1109/TITS.2020.2988303Akihito Nagahama, Yuki Suehiro, Takahiro Wada, and Kohei Sonoda. "Assistance Method for Merging Based on a Probability Regression Model." IEEE Transactions on Intelligent Transportation Systems 22.5 (2020): 2902-2912.
Link to accepted ver.© 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.DOI: https://doi.org/10.1109/TITS.2020.2977691Akihito Nagahama, Daichi Yanagisawa, and Katsuhiro Nishinari. "Impact of next-nearest leading vehicles on followers' driving behaviours and traffic stability in mixed traffic." Journal of traffic and transportation engineering (English edition) 7.1 (2020): 42-51.
Open accessAkihito Nagahama, Daichi Yanagisawa, and Katsuhiro Nishinari. "Car-following characteristics of various vehicle types in respective driving phases." Transportmetrica B: transport dynamics 8.1 (2020): 22-48.
Link to accepted ver.This is an Accepted Manuscript of an article published by Taylor & Francis in Transportmetrica B: transport dynamics on 18 Jan. 2020, available online: https://www.tandfonline.com/doifull/10.1080/21680566.2019.1710002Akihito Nagahama, Daichi Yanagisawa, and Katsuhiro Nishinari. "Dependence of driving characteristics upon follower–leader combination." Physica A: Statistical Mechanics and its Applications 483 (2017): 503-516.
Link to accepted ver.License: CC BY-NC-NDDOI: https://doi.org/10.1016/j.physa.2017.04.136International Conference
Akihito Nagahama, and Katsuhiro Nishinari. "Optimizing Evidential Deep Learning Generators for Modeling Vehicular Traffic Patterns in Developing Countries." International Symposium on Scheduling 2023. June 23-25, 2023
Seigo Takahashi, Hiromasa Ijuin, Thomas Spelten, Semih Severengiz, Akihito Nagahama, and Tetsuo Yamada. “Effect of Supplier Selection of Electric Moped Scooters Sharing Services for Material-Based Greenhouse Gas Emissions and Costs.” International Symposium on Scheduling 2023. June 23-25, 2023.
The Encouragement Award in International Symposium on Scheduling (ISS) 2023
Yumeno Hatori, Akihito Nagahama, and Kenji Tanaka. "Information presentation aiming intention share in ADAS." The 4th ASEAN - UEC Workshop on Informatics and Engineering. Dec. 9, 2022.
Akihito Nagahama, Kenji Tanaka, and Katsuhiro Nishinari. "Analysis of Connection Characteristics between Random Sections and Patternaized Groups in No-lane Heterogeneous Traffic." The 4th ASEAN - UEC Workshop on Informatics and Engineering. Dec. 9, 2022.
Yuming Dong, Xiaolu Jia, Daichi Yanagisawa, Akihito Nagahama, and Katsuhiro Nishinari. "Controlling transition behaviours in a two-lane system with limited density information." Traffic and Granular Flow 2022. Oct. 15- 17, 2022.
Akihito Nagahama, Takahiro Wada, Keiki Takadama, Daichi Yanagisawa, Katsuhiro Nishinari, and Kenji Tanaka. "Prototype models for predicting vehicle types generated in heterogeneous traffic simulation." Traffic and Granular Flow 2022. Oct. 15- 17, 2022.
Akihito Nagahama, Kensuke Tanaka, Claudio Feliciani, Geng Cui, and Takahiro Wada. "Effects of Urban Landscape and Soudscape on Driving Behavior." 2022 IEEE Conference on Cognitive and Computational Aspects of Situation Management (CogSIMA 2022). Jun. 6- 10, 2022.
Link to accepted ver.© 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.Akihito Nagahama, Takahiro Wada, Daichi Yanagisawa, and Katsuhiro Nishinari. "Certain Types of Vehicles in Heterogeneous Traffic in India Tend to Gather." The 14th International Conference of Eastern Asia Society for Transportation Studies (EASTS). Sep. 12- 14, 2021.
Claudio Feliciani, Luca Crociani, Andrea Gorrini, Akihito Nagahama, Katsuhiro Nishinari, and Stefania Bandini. "Experiments and Usability Tests of a VR-Based Driving Simulator to Evaluate Driving Behavior in the Presence of Crossing Pedestrians." Traffic and Granular Flow 2019. Springer, Cham, 2020. 471-477.
Akihito Nagahama and Takahiro Wada. "Response Time and Deceleration Affected by Lateral Shift of Leaders in Vehicular Traffic with Weak Lane Discipline." Traffic and Granular Flow 2019. Springer, Cham, 2020. 539-546.
Link to accepted ver.The original publication is available at: https://link.springer.com/chapter/10.1007/978-3-030-55973-1_66DOI: 10.1007/978-3-030-55973-1_66Akihito Nagahama, Takahiro Saito, Takahiro Wada, and Kohei Sonoda. "Comfort and usability of automated driving systems for collision avoidance by learning drivers’ preference at an opportune time." 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC). IEEE, 2019.
Franklin V. Taylor Memorial Award - Finalist
Link to accepted ver.© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.DOI: https://doi.org/10.1109/SMC.2019.8914186Akihito Nagahama, Daichi Yanagisawa, and Katsuhiro Nishinari. "Impact of Next-Nearest Leading Vehicles on Followers’ Driving Behaviours in Mixed Traffic." International Conference on Traffic and Granular Flow. Springer, Cham, 2017.
Link to accepted ver.The original publication is available at: https://link.springer.com/chapter/10.1007/978-3-030-11440-4_2DOI: 10.1007/978-3-030-11440-4_2Akihito Nagahama, Daichi Yanagisawa, and Katsuhiro Nishinari. "Driving Characteristics of Various Types of Vehicles and Replicability of Distance Gaps by means of Optimal Velocity and Intelligent-Driver Models." Conference: Traffic Flow Theory and Characteristics Committee Mid-Year Meeting. 7-9, Falmouth, US, Aug., 2018.
To be updated...
Invited Talk ―招待講演―
長濱章仁. "混合交通のボトムアップ改善の先を目指して ―Seminar on Heterosocial Systems開催のモチベーション―." 第29回交通流と自己駆動粒子系のシンポジウム. 交通流数理研究会. Dec. 1, 2023.
Akihito Nagahama. "Research on chaotic vehicular traffic—perspectives of data science, physics, and traffic engineering—." 10th UEC Seminar in ASEAN. Sep. 9, 2023.
Akihito Nagahama. "Possibilities for Research on Heterogeneous Traffic—From the viewpoint of a Japanese researcher—." Traffic and Granular Flow 2022. Oct. 15- 17, 2022.
長濱章仁. ”多様な車種が入り交じる自動車交通の微視的解析” 京都大学生存圏研究所第254回定例オープンセミナー 2020年1月29日
Award ―受賞―
淺井二千夏 (指導学生). "二次元混合交通における車種の偏在が交通特性に及ぼす影響." 電気通信大学情報理工学域 卒業論文, 2024.
目黒会賞
Seigo Takahashi (supervising student). "EFFECT OF SUPPLIER SELECTION OF ELECTRIC MOPED SCOOTERS SHARING SERVICES FOR MATERIAL-BASED GREENHOUSE GAS EMISSIONS AND COSTS." 2023.
The Encouragement Award in International Symposium on Scheduling (ISS) 2023
藤松栞 (指導学生). "変化する景観で速度抑制効果をもたらす路面デザインの提案." 電気通信大学情報理工学域 卒業論文, 2023.
目黒会賞
長濱章仁, 和田隆広, 柳澤大地, 西成活裕. ”特定車種の群れに関する統計的検証” 計測自動制御学会 システム・情報部門学術講演会(SSI2020) 618-620 2020年11月
SSI研究奨励賞 公益社団法人 計測自動制御学会 システム・情報部門
Akihito Nagahama, Takahiro Saito, Takahiro Wada, and Kohei Sonoda. "Comfort and usability of automated driving systems for collision avoidance by learning drivers’ preference at an opportune time." 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC). IEEE, 2019.
Franklin V. Taylor Memorial Award - Finalist
Link to accepted ver.© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.DOI: https://doi.org/10.1109/SMC.2019.8914186Preprint
Xiaolu Jia, Claudio Feliciani, Hisashi Murakami, Akihito Nagahama, Daichi Yanagisawa, and Katsuhiro Nishinari. "Revisiting the Level-of-Service Framework for Pedestrian Comfortability: Velocity Depicts More Accurate Perceived Congestion than Local Density." Posted Dec., 2021.
Link to preprintDomestic Conference, etc. ―国内学会など―
相良篤信, 長濱章仁, 安喜勇人, 吉村広輝, 平出誠, 清水孝恒, 佐野元彦, 湯本哲郎, 細江智夫, 田中健次. “ハンズフリー機能による通話が第2世代抗ヒスタミン薬服用者の自動車運転に及ぼす影響―薬工連携による医療安全へのアプローチー ” 第 17 回日本薬局学会学術総会, P-086-B, 2023年10月9日.
藤松栞, 長濱章仁, 田中健次, 山田哲男. “変化する景観で速度抑制効果をもたらす路面デザインの提案 ” 日本設備管理学会2023年度春季研究発表大会, MAIN.3, 2023年6月19日.
湯浅剛, 田中健次, 長濱章仁, 横川慎二, 山田哲男. “通行車両台数と大気データの同時測定による相関関係解析の一考察 ” 日本設備管理学会2023年度春季研究発表大会, MAIN.2, 2023年6月19日.
藤江達也，田中健次，⾧濱章仁. “自己学習において正負の成績フィードバックの組み合わせが内発的動機づけに与える影響” 計測自動制御学会 第50回知能システムシンポジウム, 2023年3月28日.
古屋敬祐，中理怡恒，長濱章仁，佐藤寛之，高玉圭樹. “車列表現の一般化による多様な車列に適用可能な車両入替手順の進化的最適化” 進化計算シンポジウム2022, S3-11, 2022年12月18日.
白石源二, 長濱章仁, 田中健次. “避難所の収容率情報が避難行動に及ぼす影響” 日本災害情報学会 第24回学会大会, B4-3, 2022年3月19日.
古屋敬祐, 中理怡恒, 河野航大, 長濱章仁, 佐藤寛之, 高玉圭樹. “渋滞緩和に向けた交通流率と車列の不安定性を考慮した進化計算よる車両順最適化 (Derivation of the sequence for changing vehicle order by integration of Evolutionary Computation and local search based on Traffic flow rate and Its Stability)” 計測自動制御学会 システム・情報部門 第49回 知能システムシンポジウム, B6-2, 2022年3月15日.
羽鳥由芽乃, 長濱章仁, 田中健次. “シェアードコントロールシステムにおける意図の共有を目指した情報提示 (Additional information to share intentions between a driver and shared control system)” 計測自動制御学会 システム・情報部門 第49回 知能システムシンポジウム, B3-2, 2022年3月14日.
長濱章仁, 和田隆広, 友枝明保. “反応時間変化を考慮した2次元最適速度モデルの安定性の検討” 日本応用数理学会 2021年度年会 2021年9月8日.
長濱章仁, 三谷友彦. ”新興国交通で見られる特徴的な車列順の再現 ” 第441回生存圏シンポジウム生存圏ミッションシンポジウム（オンライン開催） 2021年3月2日.
長濱章仁, 和田隆広, 柳澤大地, 西成活裕. ”新興国交通における特定車種の群れに関する考察” ネットワーク科学セミナー2020 2020年12月
立原拓実, 長濱章仁, 和田隆広. ”駐車車両回避時の運転嗜好性をオンライン学習する自動運転システムの提案 ” 計測自動制御学会 システム・情報部門学術講演会(SSI2020) 673-675 2020年11月
諏訪司, 長濱章仁, 和田隆広. ”雪道における迷いを軽減する車間距離提示システムの提案” 計測自動制御学会 システム・情報部門学術講演会(SSI2020) 669-672 2020年11月
長濱章仁, 和田隆広, 柳澤大地, 西成活裕. ”特定車種の群れに関する統計的検証” 計測自動制御学会 システム・情報部門学術講演会(SSI2020) 618-620 2020年11月
SSI研究奨励賞 公益社団法人 計測自動制御学会 システム・情報部門
立原拓実, 長濱章仁, 和田隆広. ”駐車車両回避時の運転嗜好性をオンライン学習する自動運転システムの提案” 自動車技術会2020秋季大会 2020年10月.
長濱章仁, 三谷友彦. ”新興国交通で見られる特徴的な車列順の抽出” 第425回生存圏シンポジウム生存圏ミッションシンポジウム 2020年3月3日（新型コロナウイルス感染症の影響により予稿のみ刊行）
長濱章仁, 和田隆広. ”ドライバーの反応時間を鑑みた微視的モデルによる車線がない交通における安定性の数値的検討” 第60回土木計画学研究発表会・秋大会 2019年12月2日
長濱章仁. ”新興国の渋滞問題を人とシステムで軽減する” TECH PLANTER 2019 キックオフイベント 2019年6月23日
齋藤昂浩, 長濱章仁(講演者), 和田隆広, 園田耕平. ”障害物回避軌道の嗜好性を学習する個人適合自動運転” 自動車技術会2019春季大会学術講演会 2019年5月22日
齋藤昂浩, 長濱章仁, 和田隆広, 園田耕平. ”ドライバ適合型の他車回避自動運転アルゴリズム” 計測自動制御学会システム・情報部門学術講演会2018 2018年11月
長濱章仁, 和田隆広, 柳澤大地, 西成活裕. ”二次元混合交通における追従挙動の解析にむけて” ネットワーク科学セミナー 2018年8月
長濱章仁, 柳澤大地, 西成活裕. ”最適速度モデルによる車種の違いの再現性について” 日本応用数理学会2017年度会 2017年9月6日
長濱章仁, 柳澤大地, 西成活裕. ”車列変化がおよぼす後続車運転挙動変化の交互作用を考慮した評価” 第37回交通工学研究発表会 2017年8月
長濱章仁, 柳澤大地, 西成活裕. ”車列変化がおよぼす後続車運転挙動への影響” 第54回土木計画学研究発表会 2016年11月5日
To be updated...