研究者詳細 - 奥田　裕之

論文 - 奥田　裕之

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Analysis of Smartphone Walking Behavior of Pedestrians at Unsignalized Intersection Based on Decisions and Motion 査読有り

Yuki Ban, Takuma Yamaguchi, Hiroyuki Okuda, Tatsuya Suzuki, Chieko Nishizawa, Kazunori Ban

2023 62nd Annual Conference of the Society of Instrument and Control Engineers, SICE 2023 頁： 1184 - 1189 2023年9月

記述言語：英語掲載種別：研究論文（国際会議プロシーディングス）出版者・発行元：2023 62nd Annual Conference of the Society of Instrument and Control Engineers, SICE 2023

In recent years, smartphone walking has become a hot topic of discussion as a dangerous behavior of pedestrians, and understanding these behaviors is a crucial issue in reducing traffic accidents. However, analysis for smartphone walking targets only human cognition, and pedestrian decisions and motion have not been well analyzed. Therefore, in this paper, pedestrian simulators were constructed using a VR device to measure pedestrian decisions and motion. The pedestrian's decision is represented by a logistic regression model, and the ambiguity of the decision is evaluated by information entropy based on this model. In addition, the pedestrian's motion was analyzed based on statistics to investigate the impact of smartphone walking on their decisions and motion.

DOI： 10.23919/SICE59929.2023.10354222

Scopus

Actual-Vehicle Verification of Automatic Parking in Narrow Spaces Considering Precise Collision Avoidance Constraints for Rectangular Objects 査読有り

Koki Hoshino , Kohei Honda , Mizuho Aoki , Hiroyuki Okuda, and Tatsuya Suzuki

2023 62nd Annual Conference of the Society of Instrument and Control Engineers, SICE 2023 頁： 646 - 651 2023年9月

Observation and Modeling of Decision-Making of Pedestrian with Interactions at X-Crossing 査読有り

Kazuma Uchida, Naoki Kodama, Hiroyuki Okuda, Kazuhide Kuroda, Tatsuya Suzuki

2023 62nd Annual Conference of the Society of Instrument and Control Engineers, SICE 2023 頁： 1184 - 1189 2023年9月

Combination of Reinforcement Learning Models Towards Considerate Motion Planning for Multiple Pedestrians 査読有り

Neel Mishra, Takuma Yamaguchi, Hiroyuki Okuda, Tatsuya Suzuki

22nd IFAC World Congress 2023(IFAC WC2023) 頁： 3992 - 3997 2023年7月

Longitudinal and Turning Manual Operation Control for a Force Sensorless Power-Assisted Transport Cart 査読有り

Ryuki Sato, Ryuga NIshida, Susumu Hara, Hiroyuki Okuda, Mitsuru Nagatsuka, Masahiko Tsuji, Tatsuya Suzuki,

22nd IFAC World Congress 2023(IFAC WC2023) 頁： 1189 - 1194 2023年7月

Multi-Horizon and Multi-Rate Model Predictive Control for Integrated Longitudinal and Lateral Vehicle Control 査読有り

Kuan Ching Lin, Honda Kohei, Okuda Hiroyuki, Suzuki Tatsuya

2023 IEEE INTELLIGENT VEHICLES SYMPOSIUM, IV 2023年6月

Connection of nonlinear model predictive controllers for smooth task switching in autonomous driving 査読有り

Honda Kohei, Okuda Hiroyuki, Suzuki Tatsuya, Ito Akira

ASIAN JOURNAL OF CONTROL 25 巻 ( 3 ) 頁： 1805 - 1822 2023年5月

Adaptive Mode-switching From Autonomous Driving Mode to Manual Operation Mode of Mobile Robot Based on Body Sway 査読有り

Ryuki Sato, Shoya Hirokawa, Susumu Hara, Ryuga Nishida, Hiroyuki Okuda,Mitsuru Nagatsuka, Tatsuya Suzuki

システム制御情報学会論文誌「フレキシブル・オートメーション」総合特集号 36 巻 ( 3 ) 頁： 55 - 63 2023年3月

Analysis and Modeling of Traffic Participants Considering Interactions at Intersections Without Traffic Signals 査読有り

Watanabe Toru, Yamaguchi Takuma, Okuda Hiroyuki, Suzuki Tatsuya, Wakisaka Ryo, Ban Kazunori

2023 IEEE/SICE INTERNATIONAL SYMPOSIUM ON SYSTEM INTEGRATION, SII 2023年1月

Obstacle Avoidance Control Based on Nonlinear MPC for All Wheel Driven In-Wheel EV in Steering Failure 査読有り

Mizuho Aoki, Kohei Honda, Hiroyuki Okuda, Tatsuya Suzuki, Akira Ito, Daisuke Nagasaka

2022 IEEE 25th International Conference on Intelligent Transportation Systems 2022年9月

Indication of interaction plans based on model predictive interaction control: Cooperation between AMRs and pedestrians using eHMI 査読有り

Kosuke Suzuki, Takuma Yamaguchi, Hiroyuki Okuda, Tatsuya Suzuki

SICE Annual Conference 2022 頁： 1232 - 1237 2022年9月

Evaluation of Impact by Control Switching According to Driving Environment 査読有り

Yusuke Oi, Takuma Yamaguchi, Hiroyuki Okuda, Tatsuya Suzuki

SICE Annual Conference 2022 頁： 521 - 526 2022年9月

Design of an Autonomous driving system based on pedestrian emotions using Human-in-the-Loop Reinforcement Learning

Neel Mishra, Hiroyuki Okuda, Tatsuya Suzuki

SICE Annual Conference 2022 頁： 761 - 765 2022年9月

How impressions of other drivers affect one's behavior when merging lanes

Shimojo A., Ninomiya Y., Miwa K., Terai H., Matsubayashi S., Okuda H., Suzuki T.

Transportation Research Part F: Traffic Psychology and Behaviour 89 巻頁： 236 - 248 2022年8月

掲載種別：研究論文（学術雑誌）出版者・発行元：Transportation Research Part F: Traffic Psychology and Behaviour

In recent years, systems have been developed to realize automatic driving based on objective information such as the relative distance and relative speed between vehicles. However, humans still must drive in complex situations, for instance, when merging lanes. In such driving situations, it is possible that people make decisions based not only on objective information, but also on subjective information. This study examined how subjective information, specifically, a driver's impression of the other vehicle, affects the decision to merge in front of or behind the other vehicle when merging lanes on a highway. Twenty participants (nmale = 10; nfemale = 10; Mage = 43.92 [SDage = 11.40]) joined two experiments, Days 1E and 2E, using a driving simulator. Two months after participating in Day 1E the participants joined Day 2E. In the Day 1E, they drove either on the merging lane or the main lane and merged lanes while considering the other vehicle driving along the adjacent lane. This experiment measured the probability that the participants drove in front of another vehicle upon merging, which is defined as “lead probability.” The Day 2E was similar to 1E, except for the manipulation of the participants’ impression of the other vehicle as being aggressive/cautious via acceleration/deceleration of the other vehicle, and through the contents of the instructions regarding the other vehicle's driving characteristics. In the Day 2E, the participants were randomly assigned to two: Aggressive or Cautious conditions. As the result of comparing the lead probabilities, it was found that only when the participants were driving on the merging lane and had the impression that the other vehicle is aggressive, the impression lowered the lead probability. The result indicates that people make decisions based not only on objective information but also on subjective information for specific driving situations, such as merging lanes. These findings can help in the development of automated driving systems that allow safer merging.

DOI： 10.1016/j.trf.2022.06.007

Scopus

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モデル予測型経路追従制御における車両運動予測モデルの比較検証査読有り

青木瑞穂, 本田康平, 奥田裕之, 鈴木達也

自動車技術会論文集 53 巻 ( 3 ) 頁： 687 - 692 2022年5月

Real-Time Implementation of Randomized Model Predictive Control for Autonomous Driving 査読有り

Muraleedharan Arun, Okuda Hiroyuki, Suzuki Tatsuya

IEEE TRANSACTIONS ON INTELLIGENT VEHICLES 7 巻 ( 1 ) 頁： 11 - 20 2022年3月

Manual Control Mode for Autonomous Mobile Robots Using Velocity-Based Impedance Control

Thao Nguyen Gia Minh, Hara Susumu, Hirokawa Shoya, Okuda Hiroyuki, Nagatsuka Mitsuru, Ogawa Naoki, Suzuki Tatsuya

IEEJ JOURNAL OF INDUSTRY APPLICATIONS 11 巻 ( 5 ) 頁： 650 - 663 2022年

Model Predictive Collision Avoidance for Non-Convex Environment Using Projected C-Space 査読有り

Ishiguro Tatsuya, Yamaguchi Takuma, Okuda Hiroyuki, Suzuki Tatsuya

2022 IEEE/SICE INTERNATIONAL SYMPOSIUM ON SYSTEM INTEGRATION (SII 2022) 頁： 525 - 530 2022年

Modelling and Analysis for Interactive Crossing Decision of Pedestrian at Non-signalized Intersection 査読有り

Nishimoto Takashi, Yamaguchi Takuma, Okuda Hiroyuki, Suzuki Tatsuya, Haraguchi Kentaro, Wakisaka Ryo, Ban Kazunori

2022 IEEE/SICE INTERNATIONAL SYMPOSIUM ON SYSTEM INTEGRATION (SII 2022) 頁： 900 - 907 2022年

確率的な時変パラメータを持つ制御器モデルによる車線維持行動のモデル化査読有り

辻悠介，菅本周作，奥田裕之，山口拓真，鈴木達也

計測自動制御学会論文誌 58 巻 ( 12 ) 2022年

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