Jacobo Antona‐Makoshi

Japan Automobile Research Institute

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Susumu Ejima

University of Michigan–Ann Arbor

Johan Davidsson

Chalmers University of Technology

Nobuyuki Uchida

Japan Automobile Research Institute

Tsuyoshi Yasuki

Osaka University

Husam Muslim

Japan Automobile Research Institute

Koshiro Ono

Japan Automobile Research Institute

Hiroki Nakamura

Japan Atomic Energy Agency

Atsuhiro Konosu

Japan Automobile Research Institute

Yoshihiro Yamamoto

Jichi Medical University

Ryosuke Kato

Akita University

Cooperative Institutions

Japan Automobile Research Institute

University of Tsukuba

Chalmers University of Technology

Universidad Carlos III de Madrid

University of Virginia

The University of Tokyo

University of Pennsylvania

Kyoto University

Kyushu University

RWTH Aachen University

Author Statistics

Papers

Citation

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Research Field

Effects of gender, age, experience, and practice on driver reaction and acceptance of traffic jam chauffeur systems

Scientific Reports (2021)

Husam Muslim Makoto Itoh Cho Kiu Liang Jacobo Antona‐Makoshi Nobuyuki Uchida

Abstract This study conducted a driving simulation experiment to compare four automated driving systems (ADS) designs during lane change demanding traffic situations on highways while accounting for the drivers’ gender, age, experience, and practice. A lane-change maneuver was required when the automated vehicle approaches traffic congestion on the left-hand lane. ADS-1 can only reduce the speed to synchronize with the congestion. ADS-2 reduces the speed and issues an optional request to intervene, advising the driver to change lanes manually. ADS-3 offers to overtake the congestion autonomously if the driver approves it. ADS-4 overtakes the congestion autonomously without the driver’s approval. Results of drivers’ reaction, acceptance, and trust indicated that differences between ADS designs increase when considering the combined effect of drivers’ demographic factors more than the individual effect of each factor. However, the more ADS seems to have driver-like capacities, the more impact of demographic factors is expected. While preliminary, these findings may help us understand how ADS users’ behavior can differ based on the interaction between human demographic factors and system design.

10.1038/s41598-021-97374-5

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Citations (8)

Estimated potential death and disability averted with vehicle safety interventions, Association of Southeast Asian Nations

Bulletin of the World Health Organization (2023)

Jacobo Antona‐Makoshi Husam Muslim Marko Medojevic Sandra Watanabe María Seguí‐Gómez

To evaluate road safety in member countries of the Association of Southeast Asian Nations and estimate the benefits that vehicle safety interventions would have in this group of countries.

Association (psychology)

10.2471/blt.22.288895

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Citations (3)

Influence of Age Specific Parameters on the Thoracic Response under Controlled Belt Loading Conditions

International Journal of Automotive Engineering (2015)

Jacobo Antona‐Makoshi Yoshihiro Yamamoto Ryosuke Kato Fusako Sato Susumu Ejima

An anatomically detailed age-specific finite element model of the thoracic region of an average size Japanese elderly male was developed.The model was validated against original series of experimental data both at component and at assembled-structural level.With the validated model, a simulation based age-dependent parametric study was conducted.The results show that rib cortical bone and muscle softening due to ageing affect the structural thoracic response under controlled belt loading conditions.The thoracic model will be implemented into a full scale elderly model and is intended to support the deployment of elderly-specific safety improvement strategies.

10.20485/jsaeijae.6.3_83

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Kinematics and Thoracic Deformation of an Elderly Size Human FE Model in Front Impact Sled Analysis

Transactions of the Society of Automotive Engineers of Japan (2015)

Yoshihiro Yamamoto Jacobo Antona‐Makoshi Fusako Satou Ryosuke Kato Susumu Ejima

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Citations (1)

Taktische Sicherheit für autonome Fahrzeuge auf Autobahnen

ATZ/MTZ-Fachbuch (2024)

Hans-Peter Schöner Jacobo Antona‐Makoshi

10.1007/978-3-658-38486-9_41

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A Nationwide Impact Assessment of Automated Driving Systems on Traffic Safety Using Multiagent Traffic Simulations

IEEE Open Journal of Intelligent Transportation Systems (2022)

Sou Kitajima Hanna Chouchane Jacobo Antona‐Makoshi Nobuyuki Uchida Jun Tajima

The objective of this paper is to propose a methodology to estimate nationwide traffic safety impacts of automated vehicle technologies using multi-agent traffic simulations. The influence of three levels of driver trust in the automation system (appropriate, over trust, distrust) is considered in the simulation and takes different transition modes of control between the driver and the system into account. The nationwide estimation of crashes is obtained by projecting results of the simulations using traffic data for three different and representative municipalities. Results indicated that Automated Driving Systems and Advanced Driver Assistance Systems significantly reduced the number of casualties and fatalities compared to manual driving. Simulation results in consideration of the influence of driver trust also found that this reduction may be negatively affected by over- and under-trust parameters. However, even with the introduction of these parameters, the reduction rate was still significant compared to manual driving. The proposed methodology using multi-agent traffic simulations may thus address concerns surrounding the deployment of automated driving systems which is a feature not found in conventional simulations, provide useful insight for interested parties to develop research and policy making strategies that accelerate traffic safety improvements, and to support social acceptance efforts.

Distrust

Traffic simulation

10.1109/ojits.2022.3165769

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Citations (28)

Generic Detection and Search-based Test Case Generation of Urban Scenarios based on Real Driving Data

2022 IEEE Intelligent Vehicles Symposium (IV) (2022)

Silvia Thal Roman Henze Ryo HASEGAWA Hiroki Nakamura Hisashi Imanaga

This study enhances automated driving scenario-based safety assessment methods previously developed for highways, and enables their application to urban areas. First, we propose a methodology for matching open source map data with naturalistic driving data recorded with test vehicles. The methodology proposed proved feasible detecting various geometry-related scenarios and can contribute to overcome the difficulties to create representative real driving urban scenario databases that cover such geometries. Second, a search-based test case generation methodology previously developed to fulfill requirements of severity, exposure and realism with a focus on highways, is further developed and adapted to active urban scenarios. Active scenarios require an active maneuver decision of the Vehicle under Test and have not been considered in related work so far. To show the feasibility of the methodologies proposed, we apply them to a set of Left Turn Across Path / Opposite Direction scenarios, extracted from an existing urban driving database. The map matching and the search-based test case generation methodology succeeded in deriving test cases, which equally account for exposure and coverage criteria for normal driving situations in urban settings.

Scenario testing

10.1109/iv51971.2022.9827198

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Citations (4)

Integrated Scenario-based Analysis: A data-driven approach to support automated driving systems development and safety evaluation

arXiv (Cornell University) (2024)

Gibran Ali Kaye Sullivan Eileen Herbers Vicki Williams Dustin Holley

Several scenario-based frameworks exist to aid in vehicle system development and safety assurance. However, there is a need for approaches that combine different types of datasets that offer varying levels of case severity, data richness, and representativeness. This study presents an integrated scenario-based analysis approach that encompasses scenario definition, fusion, parametrization, and test case generation. For this process, ten years of fatal and non-fatal national crash data from the United States are combined with over 34 million miles of naturalistic driving data. An illustrative example scenario, "turns at intersection", is chosen to demonstrate this approach. First, scenario definitions are established from both record-based and continuous time series data. Second, a frequency analysis is performed to understand how often events from the same scenario occur at different severities across datasets. Third, an analysis is performed to show the key factors relevant to the scenario and the distribution of various parameters. Finally, a method to combine both types of data into representative test case scenarios is presented. These techniques improve scenario representativeness in two major ways: first, they populate an entire spectrum of cases ranging from routine events to fatal crashes; and second, they provide context-rich, multi-year data by combining large-scale national and naturalistic datasets.

10.48550/arxiv.2407.19975

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Development of a Comprehensive Injury Criterion for Moderate and Mild Traumatic Brain Injuries

International Journal of Automotive Engineering (2016)

Jacobo Antona‐Makoshi Johan Davidsson Susumu Ejima Koshiro Ono

Traumatic brain injuries are commonly caused by blows that produce sudden accelerations of the head. A methodology to define a new global brain injury criterion and thresholds that account for time-dependent and combined translational-rotational kinematics of the head is described in this paper. In total 43 head impact tests with monkeys conducted in the past were reproduced, using a finite element model of the monkey head and neck. The study found that the new criterion predicted concussions and brain tissue strains more precisely than past criteria. A scheme that scales the proposed injury threshold to be applicable for humans is proposed. The new criterion and threshold may then be used in the design of superior protective systems.

10.20485/jsaeijae.7.2_69

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Citations (5)

Evaluation of Combat Helmet Behavior under Blunt Impact

Applied Sciences (2020)

Carlos Moure-Guardiola Ignacio Rubio Jacobo Antona‐Makoshi A. Olmedo J.A. Loya

New threats are a challenge for the design and manufacture of modern combat helmets. These helmets must satisfy a wide range of impact velocities from ballistic impacts to blunt impacts. In this paper, we analyze European Regulation ECE R22.05 using a standard surrogate head and a human head model to evaluate combat helmet performance. Two critical parameters on traumatic brain analysis are studied for different impact locations, i.e., peak linear acceleration value and head injury criterion (HIC). The results obtained are compared with different injury criteria to determine the severity level of damage induced. Furthermore, based on different impact scenarios, analyses of the influence of impact velocity and the geometry impact surface are performed. The results show that the risks associated with a blunt impact can lead to a mild traumatic brain injury at high impact velocities and some impact locations, despite satisfying the different criteria established by the ECE R22.05 standard. The results reveal that the use of a human head for the estimation of brain injuries differs slightly from the results obtained using a surrogate head. Therefore, the current combat helmet configuration must be improved for blunt impacts. Further standards should take this into account and, consequently, combat helmet manufacturers on their design process.

10.3390/app10238470

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Citations (17)