博士（工学）, 東京大学

自動運転

交通渋滞

ドライバー支援

車種混合交通

新興国交通

Informatics, Human interfaces and interactions

Social infrastructure (civil Engineering, architecture, disaster prevention), Safety engineering

Social infrastructure (civil Engineering, architecture, disaster prevention), Social systems engineering

Social infrastructure (civil Engineering, architecture, disaster prevention), Civil engineering (planning and transportation)

Apr. 2019 - Present
Ritsumeikan University, Ritsumeikan-Global Innovation Research Organization, 研究助教

01 Apr. 2021 - 31 Mar. 2022
立命館大学, 立命館グローバル・イノベーション研究機構, 客員協力研究員

01 Apr. 2019 - 31 Mar. 2021
立命館大学, 立命館グローバル・イノベーション研究機構, 研究助教

01 Apr. 2018 - 31 Mar. 2019
立命館大学, 立命館グローバル・イノベーション研究機構, 専門研究員

Apr. 2018 - Mar. 2019
Ritsumeikan University, Ritsumeikan-Global Innovation Research Organization, 専門研究員

01 Apr. 2013 - 30 Apr. 2015
コンチネンタル・オートモーティブ・ジャパン株式会社, インテリア ボディ＆セキュリティ, システム・テストエンジニア

Apr. 2013 - Apr. 2015
コンチネンタル・オートモーティブ・ジャパン株式会社, インテリア, システムエンジニア・テストエンジニア

Apr. 2015 - Mar. 2018
東京大学大学院, 工学系研究科, 先端学際工学専攻

Apr. 2011 - Mar. 2013
京都大学大学院, 工学研究科, 電気工学専攻

Apr. 2006 - Mar. 2011
Kyoto University, Faculty of Engineering, School of Electrical & Electronic Engineering

Sep. 2023 - Present
Editorial Board, Collective Dynamics, Society

Mar. 2024
目黒会
目黒会賞, 淺井二千夏

Sep. 2023
スケジューリング学会, 今受賞は、International Symposium on Scheduling 2023で、優秀な研究発表を行ったことが認められたものです。この発表成果は、ドイツのボーフム応用科学大学と山田哲男教授、長濱章仁助教らとの国際共同研究によるものです。電動モペットと呼ばれる電気モーターで動くバイクの各材料に対して温室効果ガスとコストによるサプライヤー選択を行うことで、サプライチェーン内で発生する温室効果ガス低減の重要性や最もコストを掛けずに温室効果ガスを低減できる目標値の示唆が、実用性・今後の研究発展性という点から評価されました。
Effect of Supplier Selection of Electric Moped Scooters Shareing Services for Material-based Greenhouse Gass Emissions and Costs
Encouragement Award, Seigo Takahashi

Mar. 2023
目黒会
目黒会賞, 藤松栞

Nov. 2020
Systems and Information, The Society of Instrument and Control Engineers
特定車種の群れに関する統計的研究
SSI Young Researcher Award, 長濱章仁

Oct. 2019
IEEE SMC, Seven candidates from around 730 papers
Comfort and Usability of Automated Driving Systems for Collision Avoidance by Learning Drivers’ Preference at an Opportune Time
Franklin V. Taylor Memorial Award - Finalist, Akihito Nagahama;Takahiro Saito;Takahiro Wada;Kohei Sonoda

Oct. 2019
IEEE SMC
Franklin V. Taylor Memorial Award -Finalist
International society

Jun. 2011
IEEE MTT-S Kansai Chapter
Study on a Microwave Power Transmitting System for a Mars Observation Airplane
Best Young Presentation Award, Akihito Nagahama

Usefulness of driver's eye movement measurement to detect potential risks under combined conditions of taking second-generation antihistamines and calling tasks.
Atsunobu Sagara; Akihito Nagahama; Hayato Aki; Hiroki Yoshimura; Makoto Hiraide; Takatsune Shimizu; Motohiko Sano; Tetsuro Yumoto; Tomoo Hosoe; Kenji Tanaka
Journal of pharmaceutical health care and sciences, 10, 1, 62-62, 02 Oct. 2024, True, BACKGROUND: Concerns persist regarding the potential reduction in driving performance due to taking second-generation antihistamines or performing hands-free calling. Previous studies have indicated a potential risk to driving performance under an emergency event when these two factors are combined, whereas a non-emergency event was operated effectively. Currently, there is a lack of a discriminative index capable of detecting the potential risks of driving performance impairment. This study aims to investigate the relationship between driving performance and eye movements under combined conditions of taking second-generation antihistamines and a calling task, and to assess the usefulness of eye movement measurements as a discriminative index for detecting potential risks of driving performance impairment. METHODS: Participants engaged in a simulated driving task, which included a calling task, both under taking or not taking second-generation antihistamines. Driving performance and eye movements were monitored during both emergency and non-emergency events, assessing their correlation between driving performance and eye movements. The study further evaluated the usefulness of eye movement as a discriminative index for potential driving impairment risk through receiver operating characteristic (ROC) analysis. RESULTS: In the case of a non-emergency event, no correlation was observed between driving performance and eye movement under the combined conditions. Conversely, a correlation was observed during an emergency event. The ROC analysis, conducted to assess the discriminative index capability of eye movements in detecting the potential risk of driving performance impairment, demonstrated a high discriminative power, with an area under the curve of 0.833. CONCLUSIONS: The findings of this study show the correlation between driving performance and eye movements under the concurrent influence of second-generation antihistamines and a calling task, suggesting the usefulness of eye movement measurement as a discriminant index for detecting potential risks of driving performance impairment.
Scientific journal, English

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
藤松 栞; 長濱 章仁; 田中 健次; 山田 哲男
Corresponding, 日本設備管理学会誌, 36, 2, Jul. 2024, Peer-reviwed
Scientific journal, Japanese

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
湯浅 剛; 田中 健次; 長濱 章仁; 横川 慎二; 山田 哲男
日本設備管理学会誌, 36, 1, Apr. 2024, Peer-reviwed
Scientific journal, Japanese

Potential risk of driving performance under combined conditions of taking second-generation antihistamines and attending calls using a hands-free function
Atsunobu Sagara; Akihito Nagahama; Hayato Aki; Hiroki Yoshimura; Makoto Hiraide; Takatsune Shimizu; Motohiko Sano; Tetsuro Yumoto; Tomoo Hosoe; Kenji Tanaka
Traffic Injury Prevention, Informa UK Limited, 25, 1, 36-40, 10 Oct. 2023, Peer-reviwed
Scientific journal, English

Learning and predicting the unknown class using evidential deep learning
Akihito Nagahama
Lead, Scientific Reports, Springer Science and Business Media LLC, 13, 1, 09 Sep. 2023, Peer-reviwed, Abstract

In practical deep-learning applications, such as medical image analysis, autonomous driving, and traffic simulation, the uncertainty of a classification model’s output is critical. Evidential deep learning (EDL) can output this uncertainty for the prediction; however, its accuracy depends on a user-defined threshold, and it cannot handle training data with unknown classes that are unexpectedly contaminated or deliberately mixed for better classification of unknown class. To address these limitations, I propose a classification method called modified-EDL that extends classical EDL such that it outputs a prediction, i.e. an input belongs to a collective unknown class along with a probability. Although other methods handle unknown classes by creating new unknown classes and attempting to learn each class efficiently, the proposed m-EDL outputs, in a natural way, the “uncertainty of the prediction” of classical EDL and uses the output as the probability of an unknown class. Although classical EDL can also classify both known and unknown classes, experiments on three datasets from different domains demonstrated that m-EDL outperformed EDL on known classes when there were instances of unknown classes. Moreover, extensive experiments under different conditions established that m-EDL can predict unknown classes even when the unknown classes in the training and test data have different properties. If unknown class data are to be mixed intentionally during training to increase the discrimination accuracy of unknown classes, it is necessary to mix such data that the characteristics of the mixed data are as close as possible to those of known class data. This ability extends the range of practical applications that can benefit from deep learning-based classification and prediction models.
Scientific journal, English

Optimization of transition behaviors in a two-lane system
Yuming Dong; Xiaolu Jia; Daichi Yanagisawa; Akihito Nagahama; Katsuhiro Nishinari
Physica A: Statistical Mechanics and its Applications, Elsevier BV, 128315-128315, Nov. 2022, Peer-reviwed
Scientific journal, English

Effects of Urban Landscape and Soundscape on Driving Behavior
Akihito Nagahama; Kensuke Tanaka; Claudio Feliciani; Geng Cui; Takahiro Wada
2022 IEEE Conference on Cognitive and Computational Aspects of Situation Management (CogSIMA), IEEE, 06 Jun. 2022
International conference proceedings

Revisiting the level-of-service framework for pedestrian comfortability: Velocity depicts more accurate perceived congestion than local density
Xiaolu Jia; Claudio Feliciani; Hisashi Murakami; Akihito Nagahama; Daichi Yanagisawa; Katsuhiro Nishinari
Transportation Research Part F: Traffic Psychology and Behaviour, Elsevier BV, 87, 403-425, May 2022, Peer-reviwed
Scientific journal, English

Online Maneuver Learning and its Real-Time Application to Automated Driving System for Obstacles Avoidance
Takumi Tatehara; Akihito Nagahama; Takahiro Wada
IEEE Transactions on Intelligent Vehicles, IEEE, 1-10, 27 Jan. 2022, Peer-reviwed
Scientific journal, English

Detection of leader–follower combinations frequently observed in mixed traffic with weak lane-discipline
Akihito Nagahama; Takahiro Wada; Daichi Yanagisawa; Katsuhiro Nishinari
Lead, Physica A: Statistical Mechanics and its Applications, Elsevier BV, 570, 125789-125789, May 2021, Peer-reviwed, We quantitatively clarified that, in an actual mixed traffic, the distributions of the types of leaders and followers for each vehicle type have biases toward the distributions predicted based on the number of each type of vehicle. Vehicular traffic in some countries is heterogeneous, having weak lane-discipline, i.e., 2D mixed traffic. Previous studies have clarified that the order of vehicle types in a vehicle platoon influences the traffic properties. It has been further suggested that a certain vehicle type, e.g., motorcycles, exhibits herding or grouping behavior. However, such grouping phenomena have not been quantitatively investigated. In this study, we aim to extract the vehicle combinations frequently observed in an actual 2D mixed traffic. By utilizing video footage that was shot overlooking a road in Mumbai, India, the extended vehicle order, i.e., leader-follower network, was detected first. Then, we compared the observed distribution of leader-follower combinations and the estimated distribution based on expectations calculated using the number of each type of vehicle, which revealed discrepancies between these two distributions in the leader-follower network. For example, motorcycles more frequently became leaders and followers of themselves than estimated. Moreover, they less frequently had leader-follower relationships with other types of vehicles. Specifically, auto-rickshaws and motorcycles are mutually exclusive. Based on these obtained results, two groups appear to exist: a group of motorcycles and another group consisting of auto-rickshaws, cars, and heavy vehicles. Our results implied that segregation phenomena comprises ''isolation,'' as well as filtering, gathering, and dispersion, as proposed in a previous study. The results also showed that not only size but even agility (i.e., quickness in longitudinal acceleration or deceleration) and speed play different roles for each type of vehicle in the respective segregation process, though the cause of the mutual exclusiveness between motorcycles and auto-rickshaws is still unclear. From the asymmetry of the frequency of leader-follower relationships, we proposed two types of preference, i.e., ''potentially desiring'' and ''unintentionally attracted.'' (C) 2021 Elsevier B.V. All rights reserved.
Scientific journal, English

Certain Types of Vehicles in Heterogeneous Traffic in India Tend to Gather
Akihito Nagahama; Takahiro Wada; Daichi Yanagisawa; Katsuhiro Nishinari
Lead, Journal of the Eastern Asia Society for Transportation Studies, 14, 2021, Peer-reviwed
Scientific journal, English

Autonomous Driving Learning Preference of Collision Avoidance Maneuvers
Akihito Nagahama; Takahiro Saito; Takahiro Wada; Kohei Sonoda
Lead, IEEE Transactions on Intelligent Transportation Systems, Apr. 2020, Peer-reviwed
Scientific journal, English

Assistance Method for Merging Based on a Probability Regression Model
Akihito Nagahama; Yuki Suehiro; Takahiro Wada; Kohei Sonoda
Lead, IEEE Transactions on Intelligent Transportation Systems, Mar. 2020, Peer-reviwed
Scientific journal, English

Car-following characteristics of various vehicle types in respective driving phases
Akihito Nagahama; Daichi Yanagisawa; Katsuhiro Nishinari
Lead, Transportmetrica B: Transport Dynamics, TAYLOR & FRANCIS LTD, 8, 1, 22-48, 2020, Peer-reviwed, The dynamics of mixed traffic were analysed by examining the driving features of various vehicles based on their car-following behaviours in a test-driving circuit. By applying decision tree analysis to the observed data, we successfully compared the acceleration, velocity difference and distance gap of different vehicles during driving trials and quantitatively extracted the features of these physical values from the respective driving phases. Our investigation resulted in a short-distance gap for motorcycles in the steady phase, while a difference in the distance gap between cars and trucks appeared in the early deceleration phase. We also obtained the characteristic behaviours of these vehicle types in different driving phases. Our findings indicate that the car-following characteristics of various types of vehicles are affected by the recognition of vehicle agility. Furthermore, we propose the necessary model parameters for replicating these features in different driving phases.
Scientific journal, English

Comfort and Usability of Automated Driving Systems for Collision Avoidance by Learning Drivers’ Preference at an Opportune Time
Akihito Nagahama; Takahiro Saito; Takahiro Wada; Kohei Sonoda
Lead, IEEE International Conference on Systems, Man, and Cybernetics, 4269-4274, 2019, Peer-reviwed
International conference proceedings, English

Experiments and usability tests of a VR-based driving simulator to evaluate driving behavior in the presence of crossing pedestrians
Claudio Feliciani; Luca Crociani; Andrea Gorrini; Akihito Nagahama; Katsuhiro Nishinari; Stefania Bandini
Traffic & Granular Flow ‘19, Springer International Publishing, 471-477, 2019, Peer-reviwed
International conference proceedings, English

Response time and deceleration affected by lateral shift of leaders in vehicular traffic with weak lane discipline
Akihito Nagahama; Takahiro Wada
Lead, Traffic & Granular Flow ‘19, 2019, Peer-reviwed
International conference proceedings, English

Impact of next-nearest leading vehicles on followers' driving behaviours and traffic stability in mixed traffic
Akihito Nagahama; Daichi Yanagisawa; Katsuhiro Nishinari
Lead, Journal of Traffic and Transportation Engineering (English Edition), Springer International Publishing, 11-18, 2019, Peer-reviwed
Scientific journal, English

Dependence of driving characteristics upon follower-leader combination
Akihito Nagahama; Daichi Yanagisawa; Katsuhiro Nishinari
Lead, PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, ELSEVIER SCIENCE BV, 483, 503-516, Oct. 2017, Peer-reviwed, The analysis of the microscopic view of mixed traffic offers a basis for resolving traffic jams which are inhomogeneous due to several types of vehicles. In this study, we research the dependence of driving characteristics upon vehicle order in a platoon. By focusing particularly upon the manner in which the driving characteristics of a follower are affected by both their own vehicle type and that of their leader, we measured the trajectories of platoons comprising two vehicles selected from motorcycles, passenger cars, and trucks on a test course. Analysis based on vehicle order showed that the vehicle types of both the leader and the follower as well as the leader's driving characteristics affected the velocity, acceleration, deceleration, operational delay of followers, and the distance gap between leaders and followers in different ways. In addition, we investigated the factors affecting driving characteristics by multiple regression analysis. We revealed that the operational delay and the maximum distance gap tend to be large when the length of leaders is large. Furthermore, as long as a follower can follow, we need not consider vehicle types among the parameters determining maximum velocity in car-following models. The vehicle types of the leader and the follower should be considered to determine maximum acceleration. When determining maximum deceleration, the vehicle types of the follower should be considered. (C) 2017 Elsevier B.V. All rights reserved.
Scientific journal, English

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
長濱章仁; 柳澤大地; 西成活裕
交通工学研究発表会論文集, 37th, 37, 157-161, Aug. 2017
Symposium, Japanese

Impact of Next-nearest Leading Vehicles on Followers’ Driving Behaviours in Mixed Traffic
Akihito Nagahama; Daichi Yanagisawa; Katsuhiro Nishinari
Lead, Traffic & Granular Flow 2017, 7, 6, Jul. 2017, Peer-reviwed
International conference proceedings, English

Feasibility Study on Microwave Power Transmission to an Airplane for Future Mars Observation
Tomohiko Mitani; Masachi Iwashimizu; Akihito Nagahama; Naoki Shinohara; Koichi Yonemoto
International Conference on Telecommunications and Remote Sensing (ICTRS), 47-50, 2014, Peer-reviwed
International conference proceedings, English

マグネトロンによる火星飛行探査機へのマイクロ波無線電力供給システムのマイクロ波無線電力供給システムの送電電力制御に関する研究
長濱 章仁; 岩清水 優; 三谷 友彦; 篠原 真毅; 平岡 京; 米本 浩一
電子情報通信学会総合大会講演論文集, 2013, 1, S-34-S-35, Mar. 2013
Symposium, Japanese

火星飛行探査機へのマイクロ波無線電力供給用送電システムの自動追尾と電力制御実験
長濱章仁; 三谷友彦; 篠原真毅; 福田敬大; 平岡京; 米本浩一
Lead, 電子情報通信学会総合大会講演論文集, 2012, 通信1, S.99-S.100, 2012
Symposium, Japanese

Auto tracking and power control experiments of a magnetron-based phased array power transmitting system for a Mars observation airplane
Akihito Nagahama; Tomohiko Mitani; Naoki Shinohara; Keita Fukuda; Kei Hiraoka; Koichi Yonemoto
2012 IEEE MTT-S International Microwave Workshop Series on Innovative Wireless Power Transmission: Technologies, Systems, and Applications, IMWS-IWPT 2012 - Proceedings, 29-32, 2012, Peer-reviwed, The objective of the present study is to develop a microwave power transmitting system for a Mars observation airplane. A wide-ranging continual Mars observation is becoming important for understanding physical properties of Mars. We suggested a transmitting system with a magnetron-based phased array. In this paper, we conducted auto tracking experiments and confirmed position detection error of the auto tracking system caused declines of received power. We also demonstrated transmitting power control and confirmed that the power control provided approximately uniform DC voltage for a ground experiment airplane. © 2012 IEEE.
International conference proceedings, English

Study on a microwave power transmitting system for Mars observation airplane
Akihito Nagahama; Tomohiko Mitam; Naoki Shinohara; Naoki Tsuji; Keita Fukuda; Yoshitaka Kanan; Koichi Yonemoto
2011 IEEE MTT-S International Microwave Workshop Series on Innovative Wireless Power Transmission: Technologies, Systems, and Applications, IMWS-IWPT 2011 - Proceedings, 63-66, 2011, Peer-reviwed, The objective of the present study is to develop a microwave power transmitting system for a Mars observation airplane. We suggest a phased array antenna composed of "power-variable phase-controlled magnetrons (PVPCM)" for the transmitting system. We confirmed the PVPCM had proper response speed to chase the airplane. We constructed PVPCMs for a phased array antenna through designing an integrator for a phase locked loop in the PVPCM, and we realized a stable power variation of the PVPCM. We confirmed realization of a phased array antenna with PVPCMs and transmitting power control. © 2011 IEEE.
International conference proceedings, English

Information presentation aiming intention share in ADAS
Yumeno Hatori; Akihito Nagahama; Kenji Tanaka
Corresponding, Dec. 2022, The 4th ASEAN - UEC Workshop on Informatics and Engineering, English

Analysis of Connection Characteristics between Random Sections and Patternized Groups in No-lane Heterogeneous Traffic
Akihito Nagahama; Kenji Tanaka; Katsuhiro Nishinari
Lead, Dec. 2022, The 4th ASEAN - UEC Workshop on Informatics and Engineering, English

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
立原拓実; 長濱章仁; 和田隆広
ポスター番号：SS6-2-1, Nov. 2020, 計測自動制御学会 システム・情報部門学術講演会(SSI2020), 673-675, Japanese, Summary national conference

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
諏訪司; 長濱章仁; 和田隆広
ポスター番号：SS6-1-6, Nov. 2020, 計測自動制御学会 システム・情報部門学術講演会(SSI2020), 669-672, Japanese, Summary national conference

特定車種の群れに関する統計的検証
長濱章仁; 和田隆広; 柳澤大地; 西成活裕
ポスター番号：7-2-2, Nov. 2020, 計測自動制御学会 システム・情報部門学術講演会(SSI2020), 2020, 618-620, Japanese, Summary national conference, 202102236196597496

最適速度モデルによる車種の違いの再現性について
長濱章仁; 柳澤大地; 西成活裕
2017, 日本応用数理学会年会講演予稿集(CD-ROM), 2017, 1345-3378, 201702238385374606

車列変化がおよぼす後続車運転挙動への影響
長濱章仁; 柳澤大地; 西成活裕
2016, 土木計画学研究・講演集(CD-ROM), 54, 201702232722678252

火星飛行探査機へのマイクロ波無線電力供給用送電システムにおける方向検知の研究
岩清水優; 長濱章仁; 三谷友彦; 篠原真毅; 米本浩一
Apr. 2013, 電子情報通信学会無線電力伝送研究会, 1-4, Japanese, Summary national conference

火星飛行探査機へのマイクロ波無線電力供給システムにおけるマグネトロンの電力制御に関する研究
長濱章仁; 岩清水優; 三谷友彦; 篠原真毅; 米本浩一
Mar. 2013, 電子情報通信学会第16回無線電力伝送研究会, 第12回宇宙太陽発電と無線電力伝送に関する研究会, 55-58, Japanese, Summary national conference

マイクロ波電力伝送によるMAVの飛行能力検証
平岡京; 福田敬大; 鳴海智博; 松本剛明; 米本浩一; 長濱章仁; 三谷友彦; 篠原真毅
Mar. 2012, 電子情報通信学会第10回無線電力伝送研究会, 第11回宇宙太陽発電と無線電力伝送に関する研究会, 43-46, Japanese, Summary national conference

電力可変型位相制御マグネトロンを用いたマイクロ波強度分布制御の可能性
三谷友彦; 長濱章仁; 木村光利; 篠原真毅
Nov. 2011, 第5回日本電磁波エネルギー応用学会シンポジウム, Japanese, Summary national conference

火星飛行探査機への無線電力供給を想定したフェーズドアレイ送電システムの研究
長濱章仁; 三谷友彦; 篠原真毅; 辻直樹; 可成理高; 米本浩一
Oct. 2011, 電子情報通信学会第8回無線電力伝送研究会, Japanese, Summary national conference

BS-2-11 Research and Development of a Microwave Power Transmitting System for a Mars Observation Airplane
Nagahama Akihito; Mitani Tomohiko; Shinohara Naoki; Tsuji Naoki; Fukuda Keidai; Kanari Yoshitaka; Yonemoto Koichi
The Institute of Electronics, Information and Communication Engineers, Mar. 2011, Proceedings of the IEICE General Conference, S37-S38, Japanese, Summary national conference, 110008575581, AN10471452

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―
長濱章仁
Invited oral presentation, Japanese, 第29回交通流と自己駆動粒子系のシンポジウム, Invited
01 Dec. 2023

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
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
Japanese, 第 17 回日本薬局学会学術総会, Peer-reviewed
09 Oct. 2023

Research on chaotic vehicular traffic—perspectives of data science, physics, and traffic engineering—
Akihito Nagahama
Public discourse, English, 10th UEC Seminar in ASEAN, Invited
09 Sep. 2023
09 Sep. 2023- 09 Sep. 2023

Effect of Supplier Selection of Electric Moped Scooters Sharing Services for Material-Based Greenhouse Gas Emissions and Costs
Seigo Takahashi; Hiromasa Ijuin; Thomas Spelten; Semih Severengiz; Akihito Nagahama; Tetsuo Yamada
Oral presentation, English, International Symposium on Scheduling 2023, Peer-reviewed
23 Jun. 2023
23 Jun. 2023- 25 Jun. 2023

Optimizing Evidential Deep Learning Generators for Modeling Vehicular Traffic Patterns in Developing Countries
Akihito Nagahama; Katsuhiro Nishinari
Oral presentation, English, International Symposium on Scheduling 2023, Peer-reviewed
23 Jun. 2023
23 Jun. 2023- 25 Jun. 2023

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
藤松栞; 長濱章仁; 田中健次; 山田哲男
Oral presentation, Japanese, 日本設備管理学会2023年度春季研究発表大会
19 Jun. 2023

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
湯浅剛; 田中健次; 長濱章仁; 横川慎二; 山田哲男
Oral presentation, Japanese, 日本設備管理学会2023年度春季研究発表大会
19 Jun. 2023

Detection of groups in heterogeneous vehicle traffic and investigation of generative models reproducing traffic structures—Toward sustainable development of hetero-social systems—
Akihito Nagahama
Invited oral presentation, English, Joint Seminar on Sustainable Transportation, Kanto Branch in the Society of Plant Engineers Japan and Laboratory for Environment-Conscious Life Cycle Design with Products Information in the University of Electro-Communications, Invited
08 Jun. 2023
08 Jun. 2023

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
藤江達也; 田中健次; 長濱章仁
Oral presentation, Japanese, 計測自動制御学会 第50回知能システムシンポジウム
28 Mar. 2023

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
古屋敬祐; 中理怡恒; 長濱章仁; 佐藤寛之; 高玉圭樹
Oral presentation, 進化計算シンポジウム2022
18 Dec. 2022

Information presentation aiming intention share in ADAS
Yumeno Hatori; Akihito Nagahama; Kenji Tanaka
Poster presentation, English, The 4th ASEAN - UEC Workshop on Informatics and Engineering, International conference
09 Dec. 2022

Analysis of Connection Characteristics between Random Sections and Patternaized Groups in No-lane Heterogeneous Traffic
Akihito Nagahama; Kenji Tanaka; Katsuhiro Nishinari
Poster presentation, English, The 4th ASEAN - UEC Workshop on Informatics and Engineering, International conference
09 Dec. 2022

Possibilities for Research on Heterogeneous Traffic—From the viewpoint of a Japanese researcher—
Akihito Nagahama
Invited oral presentation, English, Traffic and Granular Flow 2022, Invited
16 Oct. 2022
15 Oct. 2022- 17 Oct. 2022

Prototype models for predicting vehicle types generated in heterogeneous traffic simulation
Akihito Nagahama; Takahiro Wada; Keiki Takadama; Daichi Yanagisawa; Katsuhiro Nishinari; Kenji Tanaka
Oral presentation, English, Traffic and Granular Flow 2022
16 Oct. 2022
15 Oct. 2022- 17 Oct. 2022

Controlling transition behaviours in a two-lane system with limited density information
Yuming Dong; Xiaolu Jia; Daichi Yanagisawa; Akihito Nagahama; Katsuhiro Nishinari
Oral presentation, English, Traffic and Granular Flow 2022
15 Oct. 2022
15 Oct. 2022- 17 Oct. 2022

Effects of Urban Landscape and Soudscape on Driving Behavior
Akihito Nagahama; Kensuke Tanaka; Claudio Feliciani; Geng Cui; Takahiro Wada
Poster presentation, English, 2022 IEEE Conference on Cognitive and Computational Aspects of Situation Management (CogSIMA 2022)
08 Jun. 2022
06 Jun. 2022- 10 Jun. 2022

避難所の収容率情報が避難行動に及ぼす影響
白石源二; 田中健次; 長濱章仁
Oral presentation, Japanese, 第24回学会大会, 日本災害情報学会, Domestic conference
19 Mar. 2022

Derivation of the sequence for changing vehicle order by integration of Evolutionary Computation and local search based on Traffic flow rate and Its Stability
古屋敬祐; 中理怡恒; 河野航大; 長濱章仁; 佐藤寛之; 高玉圭樹
Oral presentation, Japanese, 第49回 知能システムシンポジウム, 公益社団法人 計測自動制御学会 システム・情報部門, This paper aims to reducing traffic congestion and propose a method to quantitatively evaluate a vehicle order based on the traffic flow rate and the Stability of it, and an optimization method of transitioning from an arbitrary order to ideal order of same condition for reducing traffic congestion rate by Evolutionary Computation, Vehicle Order Optimization based on EA and Search Graph-Structured List(VOO-EASDL). From the results of experiments, the following implications have been revealed: (1) The proposed evaluation method can accurately evaluate usefulness of a vehicle order in reducing traffic congestion. (2) VOO-EASDL can output the transition method even in the case that is impossible to reach by simply exchange of the improved point., Domestic conference
15 Mar. 2022

Additional information to share intentions between a driver and shared control system
羽鳥由芽乃; 長濱章仁; 田中健次
Oral presentation, Japanese, 第49回 知能システムシンポジウム, 公益社団法人 計測自動制御学会 システム・情報部門, As the development of automated driving technology progresses, shared control that can contribute to solving problems in both AD and ADAS has been proposed. To solve the discrepancy between the intentions of drivers and the system in shared control, we examined the effect of presenting the system-recognized dangerous objects to the driver. The results showed that the presentation of the dangerous object improved the driver's understanding of the system's intentions and increased the trust in the system only when the system was correct. This paper also examined the effect of introducing a button that allows the driver to inform that the system is wrong., Domestic conference
14 Mar. 2022

Certain Types of Vehicles in Heterogeneous Traffic in India Tend to Gather
Akihito NAGAHAMA; Takahiro WADA; Daichi YANAGISAWA; Katsuhiro NISHINARI
Oral presentation, English, The 14th International Conference of Eastern Asia Society for Transportation Studies
13 Sep. 2021
12 Sep. 2021- 14 Sep. 2021

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
長濱章仁; 和田隆広; 友枝明保
Poster presentation, Japanese, 日本応用数理学会 2021年度年会
08 Sep. 2021
07 Sep. 2021- 09 Sep. 2021

新興国交通で見られる特徴的な車列順の再現
長濱章仁; 三谷友彦
Poster presentation, Japanese, 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）
02 Mar. 2021
02 Mar. 2021- 03 Mar. 2021

新興国交通における特定車種の群れに関する考察
長濱 章仁; 和田 隆広; 柳澤 大地; 西成 活裕
Japanese, ネットワーク科学セミナー2020
Dec. 2020

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
立原拓実; 長濱章仁; 和田隆広
Oral presentation, Japanese, 自動車技術会2020秋季大会, 文献番号：20206080
Oct. 2020

新興国交通で見られる特徴的な車列順の抽出
長濱章仁; 三谷友彦
Poster presentation, Japanese, 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（新型コロナウイルス感染症の影響により予稿のみ刊行）
03 Mar. 2020- 04 Mar. 2020

Microscopic analysis of chaotic vehicular traffic with various types of vehicles
Akihito Nagahama
Public discourse, English, 京都大学生存圏研究所第254回定例オープンセミナー, Invited
29 Jan. 2020
29 Jan. 2020- 29 Jan. 2020

NUMERICAL STABILITY ANALYSIS OF TRAFFIC WITH WEAK LANE DISCIPLINE USING MICROSCOPIC MODEL WITH VARIED RESPONSE TIME
Akihito Nagahama; Takahiro Wada
Poster presentation, Japanese, 第60回土木計画学研究発表会・秋大会, Domestic conference
02 Dec. 2019

Comfort and Usability of Automated Driving Systems for Collision Avoidance by Learning Drivers’ Preference at an Opportune Time
Akihito Nagahama
Oral presentation, English, IEEE International Conference on System, Man, and Cybernetics 2019, International conference
09 Oct. 2019

Response time and deceleration affected by lateral shift of leaders in vehicular traffic with weak lane discipline
Akihito Nagahama; Takahiro Wada
Oral presentation, English, Traffic & Granular Flow 2019, International conference
Jul. 2019

Experiments and usability tests of a VR-based driving simulator to evaluate driving behavior in the presence of crossing pedestrians
Claudio Feliciani; Luca Crociani; Andrea Gorrini; Akihito Nagahama; Katsuhiro Nishinari; Stefania Bandini
Oral presentation, English, Traffic & Granular Flow 2019, International conference
Jul. 2019

新興国の渋滞問題を人とシステムで軽減する
長濱章仁
Others, Japanese, TECH PLANTER 2019 キックオフイベント
23 Jun. 2019

障害物回避軌道の嗜好性を学習する個人適合自動運転
齋藤昂浩; 長濱章仁; 講演者; 和田隆広; 園田耕平
Oral presentation, Japanese, 自動車技術会2019春季大会学術講演会, Domestic conference
22 May 2019

ドライバ適合型の他車回避自動運転アルゴリズム
齋藤昂浩; 長濱章仁; 和田隆広; 園田耕平
Poster presentation, Japanese, 計測自動制御学会システム・情報部門学術講演会2018, Domestic conference
Nov. 2018

二次元混合交通における追従挙動の解析にむけて
長濱章仁; 和田隆広; 柳澤大地; 西成活裕
Poster presentation, Japanese, ネットワーク科学セミナー, Domestic conference
Aug. 2018

Driving Characteristics of Various Types of Vehicles and Replicability of Distance Gaps by means of Optimal Velocity and Intelligent-Driver Models
Akihito Nagahama; Daichi Yanagisawa; Katsuhiro Nishinari
Oral presentation, English, International conference
Aug. 2018

最適速度モデルによる車種の違いの再現性について
長濱章仁; 柳澤大地; 西成活裕
Poster presentation, Japanese, 日本応用数理学会2017年度会, Domestic conference
06 Sep. 2017

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
長濱章仁; 柳澤大地; 西成活裕
Oral presentation, Japanese, 第37回交通工学研究発表会, Domestic conference
Aug. 2017

Impact of Next-nearest Leading Vehicles on Followers’ Driving Behaviours in Mixed Traffic
Akihito Nagahama; Daichi Yanagisawa; Katsuhiro Nishinari
Poster presentation, English, Traffic & Granular Flow 2017, International conference
Jul. 2017

車列変化がおよぼす後続車運転挙動への影響
長濱章仁; 柳澤大地; 西成活裕
Oral presentation, Japanese, 第54回土木計画学研究発表会, International conference
05 Nov. 2016

火星飛行探査機へのマイクロ波無線電力供給システムにおけるマグネトロンの電力制御に関する研究
長濱章仁; 岩清水優; 三谷友彦; 篠原真毅; 米本浩一
Oral presentation, Japanese, 第16回無線電力伝送時限研究専門委員会研究会, Domestic conference
Mar. 2013

マグネトロンによる火星飛行探査機へのマイクロ波無線電力供給システムのマイクロ波無線電力供給システムの送電電力制御に関する研究
長濱章仁; 岩清水優; 三谷友彦; 篠原真毅; 平岡京; 米本浩一
Oral presentation, Japanese, 電子情報通信学会2013総合大会, Domestic conference
Mar. 2013

Auto Tracking and Power Control Experiments of a Magnetron-based Phased Array Power Transmitting System for a Mars Observation Airplane
Nagahama, Akihito; Mitani, Tomohiko; Shinohara, Naoki; Fukuda, Keita; Hiraoka, Kei; Yonemoto, Koichi
Oral presentation, English, IEEE MTT-S 2012, International conference
May 2012

火星飛行探査機へのマイクロ波無線電力供給用送電システムの自動追尾と電力制御実験
長濱章仁; 三谷友彦; 篠原真毅; 福田敬大; 平岡京; 米本浩一
Oral presentation, Japanese, 電子情報通信学会2012総合大会, Domestic conference
Mar. 2012

火星飛行探査機への無線電力供給を想定したフェーズドアレイ送電システムの研究
長濱章仁; 三谷友彦; 篠原真毅; 辻直樹; 可成理高; 米本浩一
Oral presentation, Japanese, 第8回無線電力伝送時限研究専門委員会研究会, Domestic conference
Oct. 2011

Study on a Microwave Power Transmitting System for Mars Observation Airplane
Nagahama, Akihito; Mitam, Tomohiko; Shinohara, Naoki; Tsuji, Naoki; Fukuda, Keita; Kanan, Yoshitaka; Yonemoto, Koichi
Oral presentation, English, IEEE MTT-S 2011, International conference
May 2011

火星飛行探査機へのマイクロ波無線電力供給用送電システムの研究開発
長濱章仁; 三谷友彦; 篠原真毅; 辻直樹; 福田敬大; 可成理高; 米本浩一
Oral presentation, Japanese, 電子情報通信学会2011総合大会, Domestic conference
Mar. 2011

情報領域演習第二K演習
Apr. 2024 - Present

経営・社会情報学実験
Oct. 2021 - Present
電気通信大学

基礎プログラミングおよび演習
Oct. 2021 - Present
電気通信大学

ALESS (Active Learning of English for Science Students) TA
東京大学教養学部

実世界情報実験３
立命館大学情報理工学部

経営・社会情報学実験
The University of Electro-Communications

基礎プログラミングおよび演習
The University of Electro-Communications

実世界情報実験3
立命館大学

実世界情報実験3
立命館大学

IEEE

日本オペレーションズ・リサーチ学会

EASTS-Japan

日本応用数理学会

日本オペレーションズ ・ リサーチ学会

土木学会

IEEE Systems, Man, and Cybernetics Society

IEEE Intelligent Transportation Systems Society

自動車技術会

新興国混合交通が示す効率ダイナミクスの省察
長濱 章仁
日本学術振興会, 科学研究費助成事業 若手研究, 電気通信大学, 若手研究, Principal investigator, 23K13512
Apr. 2023 - Mar. 2027

新興国に見られる二次元混合交通の車列順制御を用いた流れ改善
Akihito Nagahama
Japan Society for the Promotion of Science, Grant-in-Aid for Early-Career Scientists, Principal investigator
Apr. 2019 - Mar. 2023

Analysis of Connection Characteristics between Random Sections and Patternized Groups in No-lane Heterogeneous Traffic
長濱章仁
若手教員の国際会議研究発表等派遣支援, 電気通信大学, Principal investigator
Dec. 2022

VRを用いたネットワーク同期型小型ドライビングシミュレータの開発
長濱章仁
電気通信大学, 2021年度研究活性化支援システム（若手外部資金獲得支援）, Principal investigator
May 2021 - Mar. 2022

新興国道路渋滞の予防に用いる加減速と操舵に関する運転支援システム
スズキ財団, 若手科学技術研究助成, Principal investigator
Apr. 2020 - Mar. 2021

新興国交通で見られる特徴的な車列順の再現
京都大学生存圏研究所, 2020年度生存圏科学萌芽研究
2020 - 2021

新興国交通で見られる特徴的な車列順の抽出
京都大学生存圏研究所, 2019 年度生存圏科学萌芽研究
01 Apr. 2019 - 31 Mar. 2020

新興国に見られる二次元混合交通の認知ネットワークに基づく特徴抽出
Akihito Nagahama
Japan Society for the Promotion of Science, Grant-in-Aid for Research Activity Start-up, Principal investigator
Apr. 2018 - Mar. 2020

Response time and deceleration affected by lateral shift of leaders in vehicular traffic with weak lane discipline
長濱章仁
スズキ財団, 研究者海外研修助成金
Jun. 2019

Performance of Vehicle Generators Classifying Spatially Patternized Vehicles in Traffic in Developing Countries
若手教員の国際会議研究発表等派遣支援

研究成果国際発信制度(研究者海外渡航支援制度)
長濱章仁
立命館大学, 研究成果国際発信制度(研究者海外渡航支援制度), Principal investigator

車線が守られない交通における前走車横位置ずれに依存する反応遅れと減速強度
長濱章仁
スズキ財団, 研究者海外研修助成, Principal investigator

交通渋滞予防、又は、予防及び緩和方法、並びに、制御装置
Patent right, 長濱章仁, 特願2019-165966, Date applied: 12 Sep. 2019, 学校法人立命館, 特開2021-043760, Date announced: 18 Mar. 2021

ポスター審査員
Advisor, 株式会社リバネス, サイエンスキャッスル関西
2018 - 2018

Journal of Disaster Research
Peer review, Oct. 2023

The First Seminar on Heterosocial Systems
Academic society etc, Planning etc, Akihito Nagahama, 19 Sep. 2023 - 19 Sep. 2023

Program Comittee of International Symposium of Scheduling 2023
Competition etc, Planning etc, Scheduling Society of Japan, Apr. 2023 - Jun. 2023

Ad Hoc Reviewer for IEEE Transactions on Vehicular Technology
Peer review etc, Peer review, Jun. 2020

Ad Hoc Reviewer for IEEE International Conference on Systems, Man, and Cybernetics 2019
Peer review etc, Peer review, 2019

Ad Hoc Reviewer for Traffic and Granular Flow’19
Peer review etc, Peer review, 2019

Ad Hoc Reviewer for International Journal of Intelligent Transportation Systems Research
Peer review etc, Peer review

Ad Hoc Reviewer for Physica A: Statistical Mechanics and its Applications
Peer review etc, Peer review