Faculty Profiles - AOKI Hirofumi

Papers - AOKI Hirofumi

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Development of Hybrid-Vehicle Energy-Consumption Model for Transportation Applications-Part I: Driving-Power Equation Development and Coefficient Calibration

Pitanuwat Siriorn, Aoki Hirofumi, Iizuka Satoru, Morikawa Takayuki

ENERGIES Vol. 13 ( 2 ) 2020.1

Analysis of Distraction and Driving Behavior Improvement Using a Driving Support Agent for Elderly and Non-Elderly Drivers on Public Roads

Tanaka, T; Fujikake, K; Yoshihara, Y; Karatas, N; Shimazaki, K; Aoki, H; Kanamori, H

2020 IEEE INTELLIGENT VEHICLES SYMPOSIUM (IV) page： 1029 - 1034 2020

The visual search for the traffic situation and cognitive functions of elderly drivers

SHIMAZAKI Kan, INAGAMI Makoto, AOKI Hirofumi, TAKEDA Natsuka, YAMAUCHI Satsuki

The Japanese Journal of Ergonomics Vol. 56 ( 0 ) page： 2E4 - 03-2E4-03 2020

Relation of On-Dash Cam observation of Emergency Braking Frequency and Looking Behavior at Stop Intersections and Cognitive/Physical Characteristics and Driving Attitude of Elderly Drivers

Yonekawa Takashi, Aoki Hirofumi, Yamagishi Misako, Tanaka Takahiro, Yoshihara Yuki, Fujikake Kazuhiro, Inagami Makoto, Kanamori Hitoshi, Aoki Kunitomo, Hirano Akio, Takeda Natsuka

Transactions of Society of Automotive Engineers of Japan Vol. 51 ( 4 ) page： 701 - 706 2020

Language：Japanese Publishing type：Research paper (scientific journal) Publisher：Society of Automotive Engineers of Japan

Recently, the number of traffic accidents involving elderly drivers has been increasing, and it is known that side collisions at the intersection are particularly frequent. Thus, we put on-dash cams for 22 drivers aged 50-82 years old to measure their driving behavior at stop intersections. The relation between emergency braking frequency and looking behavior, and cognitive/physical characteristics and driving attitude were investigated. The results show that some elderly drivers can perform compensatory driving behaviors such as looking both ways at stop intersections to reduce the frequency of emergency braking even though their cognitive and physical characteristics have deteriorated.

DOI： 10.11351/jsaeronbun.51.701

CiNii Research

Transformation of Acceptability with Continued Use of Driver-agents

FUJIKAKE Kazuhiro, TANAKA Takahiro, YOSHIHARA Yuki, KARATAS Nihan, AOKI Hirofumi, KANAMORI Hitoshi

The Japanese Journal of Ergonomics Vol. 56 ( Supplement ) page： 2E2-04 - 2E2-04 2020

Analysis of Distraction and Driving Behavior Improvement Using a Driving Support Agent for Elderly and Non-Elderly Drivers on Public Roads

Tanaka T., Fujikake K., Yoshihara Y., Karatas N., Shimazaki K., Kanamori H., Aoki H.

IEEE Intelligent Vehicles Symposium, Proceedings page： 1029 - 1034 2020

Language：Japanese Publishing type：Research paper (international conference proceedings) Publisher：IEEE Intelligent Vehicles Symposium, Proceedings

Japan has become a more aged society and there are more drivers, 65 years of age and above. Cars represent an important mode of transportation for the elderly; however, in recent years, the number of traffic accidents caused by elderly drivers has been on the rise, and this has become a social issue. Thus, to ensure driving safety, we study a driver agent system that provides driving and feedback support to the elderly drivers for encouraging them to improve their driving. In this paper, we present a summary of the proposed agent and report on a set of experiments using our agent for the elderly and non-elderly drivers in an actual environment with car on public roads. From the analysis of driving operations and fixation points during driving, the results revealed that the acceptability of the agent was high, the agent in the actual car environment did not distract the driver, and the agent could improve driving behavior.

DOI： 10.1109/IV47402.2020.9304569

Scopus

Study on acceptability of and distraction by driving support agent in actual car environment

Tanaka T., Fujikake K., Yoshihara Y., Karatas N., Aoki H., Kanamori H.

HAI 2019 - Proceedings of the 7th International Conference on Human-Agent Interaction page： 202 - 204 2019.9

Language：Japanese Publishing type：Research paper (international conference proceedings) Publisher：HAI 2019 - Proceedings of the 7th International Conference on Human-Agent Interaction

Cars represent an important mode of transportation for the elderly; however, in recent years, the number of traffic accidents caused by elderly drivers in Japan has increased. Thus, to ensure driving safety, we are researching a driver agent system that provides driving support and feedback support to elderly drivers to encourage them to improve their driving. In this paper, we report on a set of preliminary experiments using our agent in an actual car environment designed to evaluate the subjective acceptability of and distraction by the agent based on subjective evaluation and analysis of driver fixation points during driving. The results revealed that the acceptability of the agent was high and that the agent in an actual car environment did not distract the driver.

DOI： 10.1145/3349537.3352765

Scopus

Towards online detection of driver distraction: Eye-movement simulation based on a combination of vestibulo-ocular reflex and optokinetic reflex models

Le, AS; Inagami, M; Hamada, H; Suzuki, T; Aoki, H

TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR Vol. 65 page： 716 - 729 2019.8

Language：English Publishing type：Research paper (scientific journal) Publisher：Transportation Research Part F: Traffic Psychology and Behaviour

With the aim of developing a method for evaluating driver distraction based on the difference between simulated and observed eye movements, we integrated a vestibulo–ocular reflex (VOR) model and an optokinetic reflex (OKR) model. On the basis of 2 × 2 factorial design analysis (VOR model only and VOR+OKR model; with and without visual stimulus), we confirmed that the VOR+OKR model showed a better performance than the VOR model, with a smaller mean-square error. We also conducted an experiment that used an n-back task to simulate mental workload while driving. The mean-square error between the simulated and observed eye movement became larger in the presence of mental workload. This result suggests that the VOR+OKR model could be applied in the evaluation of driver distraction.

DOI： 10.1016/j.trf.2018.02.019

Web of Science

Scopus

Development of hybrid vehicle energy consumption model for transportation applications-Part II: Traction force-speed based energy consumption modeling

Pitanuwat S.

World Electric Vehicle Journal Vol. 10 ( 2 ) 2019.6

2C3-6　ドライバエージェントの運転支援・振り返り支援に対する主観評価

藤掛和広, 田中貴紘, 吉原佑器, 稲上誠, 米川隆, 青木宏文, 金森等

人間工学 Vol. 55 ( 0 ) page： 2C3-6-2C3-6 2019

Effect of Driving Behavior Improvement by Driving-Support and Feedback-Support of Driver-Agent

Fujikake Kazuhiro, Tanaka Takahiro, Yoshihara Yuki, Yonekawa Takashi, Inagami Makoto, Aoki Hirofumi, Kanamori Hitoshi

Transactions of Society of Automotive Engineers of Japan Vol. 50 ( 1 ) page： 134 - 141 2019

Language：Japanese Publishing type：Research paper (scientific journal) Publisher：Society of Automotive Engineers of Japan

In this study, we used robot which was the most acceptable among ´voice´, ´vision´ and ´robot´ as a driver-agent. We verified whether the driving behavior improvement by driving the driving simulator together with the agent. The agent's support was 3 kinds of "driving-support", "feedback" and "driving support and feedback". Driving-support was real-time support by robot's voice. Feedback looked back on unsafe driving behaviors with movie after driving. Driving-support and feedback was combined use of both. As a result, driving behavior was improvement by using an agent. Driving behavior was the most improved condition was "driving-support and feedback". And, the condition with higher subjective evaluation was "driving-support and feedback".

DOI： 10.11351/jsaeronbun.50.134

CiNii Research

Identifying factors related to the estimation of near-crash events of elderly drivers

Yamagishi M., Yonekawa T., Inagami M., Sato T., Aakamatsu M., Aoki H.

Advances in Intelligent Systems and Computing Vol. 826 page： 23 - 31 2019

Language：Japanese Publishing type：Research paper (scientific journal) Publisher：Advances in Intelligent Systems and Computing

This study attempted to identify factors associated with driving behavior of elderly drivers to assess their safety and estimate their risk during naturalistic driving. We performed binomial logistic regression using self-reported past crash involvement as a response variable to identify critical factors and provided an estimation model has 18 variables. However, applying driver category based on crash and near-crash events (CNCs) collected from naturalistic driving study employed on-dash cam instead of self-reported crash involvement to the previous model showed lower predictive performance (0.63 for sensitivity and 0.51 for specificity). This implies that the model based on self-reported crash experiences was difficult to detect for drivers with CNC during naturalistic driving. Then, we performed binomial logistic regression based on CNC involvement and indicated another model, where the predictive performance was improved, with 0.81 for sensitivity and 0.70 for specificity. To predict the number of CNCs as drivers’ risk, this study adopted Poisson regression analysis using nine variables selected from the second model. The analyses showed a plausible model and significant variables for the estimation of CNCs. Mini-Mental State Examination (MMSE) was one of the better predictor putting in this model, and showed the probability that lower performance associated with higher number of CNCs. This model for CNC estimation would be helpful for the development of safety programs for elderly drivers with possible incidents.

DOI： 10.1007/978-3-319-96065-4_4

Scopus

Factors leading to inconsistency between self-reported and objective driving habits

Yamagishi Misako, Aoki Hirofumi

Proceedings of the Japanese Society for Cognitive Psychology Vol. 2019 ( 0 ) 2019

Language：Japanese Publishing type：Research paper (scientific journal) Publisher：The Japanese Society for Cognitive Psychology

<p>Although drivers' driving habits have been investigated using self-report methods, some studies have reported inconsistency between self-reported driving exposure and actual driving data. Data on self-reported and objective driving exposure were collected from 66 drivers aged 50–83 years. Agreement between these measures was 0.07 and 0.03 for distance driven per day and number of days driven per week, respectively. Factors related to agreement between the two measures investigated, and the odds ratios computed by a binomial logistic analysis for gender and some attitudes (confidence to driving, hesitation about driving, and car as self-expression) were higher than those for other variables. Scores on these variables did not differ significantly between under- and over-estimated self-reports. These findings suggest that the direction of inconsistency between self-reported and objective driving exposure might involve different and general personality traits. Further, self-reported driving exposure may be affected to monitoring experiences brought by attitudes about driving.</p>

DOI： 10.14875/cogpsy.2019.0_40

Effect of Sliding Window Time on the Classification of Driver Mental Workload Performance Using Near-Infrared Spectroscopy (NIRS)

Le A.S., Aoki H.

IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC Vol. 2018-November page： 1815 - 1819 2018.12

Language：Japanese Publishing type：Research paper (international conference proceedings) Publisher：IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC

Near-infrared spectroscopy (NIRS) is a promising solution for classifying mental workload while driving, which is important for creating a support system and preventing traffic accidents. Most of the existing research classified mental workload levels via machine learning or deep learning algorithms, where the sliding window time plays an important role in obtaining the features. This study investigated a novel classification of mental workload level using NIRS data by the difference of sliding window time in both channel-independent and subject-independent scenarios. Five sliding times from 1 to 5 s were tested for classification of the mental workload level in 60 experiments in the naturalistic condition. The results indicated that the sliding times were not significantly related to the accuracy of classification using NIRS data when the sample size was just enough. Furthermore, this study succeeded in indicating the driver mental workload using NIRS information in the naturalistic situation with autocross and car-following conditions with an accuracy of over 80%.

DOI： 10.1109/ITSC.2018.8569996

Scopus

Investigation of Factors on Usability Evaluation of Advanced Driver Assistance System Reviewed

Maehigashi Akihiro, Miwa Kazuhisa, Aoki Hirofumi, Suzuki Tatsuya

Cognitive Studies: Bulletin of the Japanese Cognitive Science Society Vol. 25 ( 3 ) page： 310 - 323 2018.12

Language：Japanese Publishing type：Research paper (scientific journal) Publisher：Japanese Cognitive Science Society

This study investigated which factors affect the usability evaluation of an ACC (Adaptive cruise control). In the experiment, the participants drove a Toyota Prius car with an ACC on real highway. 215 different kinds of driving data were sampled at 60 Hz during driving. At each of the six designated stop points set on driving course, the participants stopped the car and evaluated the usability of the ACC by answering Usability Questionnaire for Automation System. The participants’ driving styles were measured with Driving Style Questionnaire. As results of multiple regression analyses,we found how the participants’ driving styles, the driving control of the ACC, and the participants’ intervention in the driving control of the ACC influenced the usability evaluation. The results were discussed in terms of the human-automation interaction and the design principles of an ACC.

DOI： 10.11225/jcss.25.310

CiNii Research

A Novel Method for Classifying Driver Mental Workload Under Naturalistic Conditions With Information From Near-Infrared Spectroscopy

Le Anh Son, Aoki Hirofumi, Murase Fumihiko, Ishida Kenji

FRONTIERS IN HUMAN NEUROSCIENCE Vol. 12 2018.10

Review of the Impact of Cognitive Problems in the Elderly People on Safe-Driving and Mobility Maintenance Reviewed

Kawano Naoko, Aoki Hirofumi, Ozaki Norio

Cognitive Studies: Bulletin of the Japanese Cognitive Science Society Vol. 25 ( 3 ) page： 243 - 258 2018.9

Language：Japanese Publishing type：Research paper (scientific journal) Publisher：Japanese Cognitive Science Society

This article reviewed the association between safe driving and cognitive impairment in elderly individuals, and discussed leaving problems about assessing elderly drivers for fitness to drive and facilitating their mobility. This review placed particular emphasis on the concept of mild cognitive impairment (MCI), which has been used in clinical practice and research over the last two decades. The technical term “MCI” has been based on various criteria, contributing to the difficulty in achieving a consistent explanation of the results from previous studies. Each diagnosis was therefore summarized at first, then previous studies were reviewed to gain an understanding of the impact of cognitive decline on driving safety in drivers with MCI and dementia. Findings of previous studies were also classified into each cognitive disorder due to specific disease (e.g. Alzheimer’s disease; Perkinson’s disease; Lewy body disease; frontotemporal lobar degeneration). Finally, the needs of future studies regarding safe-driving and mobility maintenance for elderly individuals are discussed.

DOI： 10.11225/jcss.25.243

CiNii Research

SmartEye and Polhemus data for vestibulo-ocular reflex and optokinetic reflex model

Anh Son Le, Aoki Hirofumi

DATA IN BRIEF Vol. 18 page： 882 - 885 2018.6

Study on Driver Agent Based on Analysis of Driving Instruction Data — Driver Agent for Encouraging Safe Driving Behavior (1) —

TANAKA Takahiro, FUJIKAKE Kazuhiro, YONEKAWA Takashi, YAMAGISHI Misako, INAGAMI Makoto, KINOSHITA Fumiya, AOKI Hirofumi, KANAMORI Hitoshi

IEICE Transactions on Information and Systems Vol. E101D ( 5 ) page： 1401 - 1409 2018.5

Language：English Publishing type：Research paper (scientific journal) Publisher：The Institute of Electronics, Information and Communication Engineers

<p>In recent years, the number of traffic accidents caused by elderly drivers has increased in Japan. However, cars are an important mode of transportation for the elderly. Therefore, to ensure safe driving, a system that can assist elderly drivers is required. We propose a driver-agent system that provides support to elderly drivers during and after driving and encourages them to improve their driving. This paper describes the prototype system and the analysis conducted of the teaching records of a human instructor, the impression caused by the instructions on a subject during driving, and subjective evaluation of the driver-agent system.</p>

DOI： 10.1587/transinf.2017EDP7203

Web of Science

Scopus

CiNii Research

Effect of Sliding Window Time on the Classification of Driver Mental Workload Performance Using Near-Infrared Spectroscopy (NIRS)

Anh Son Le, Aoki Hirofumi

2018 21ST INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC) page： 1815 - 1819 2018

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Papers - AOKI Hirofumi