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Institution scientifique

Japan Automobile Research Institute

Tsukuba, JP, other

1266Publications signalées
28881Citations signalées
12Thèmes principaux

Les principaux domaines

Automotive and Human Injury BiomechanicsVehicle emissions and performanceTraffic and Road SafetyHuman-Automation Interaction and SafetyAir Quality and Health ImpactsAdvanced Combustion Engine TechnologiesAutonomous Vehicle Technology and SafetyAtmospheric chemistry and aerosolsTransportation Safety and Impact AnalysisVehicle Dynamics and Control SystemsEngineering Applied ResearchCatalytic Processes in Materials Science

L’évolution annuelle

1996 24
1998 20
1999 22
2000 25
2001 43
2002 32
2003 41
2004 39
2005 46
2006 39
2007 53
2008 47
2009 35
2010 43
2011 37
2012 36
2013 41
2014 46
2015 34
2016 42
2017 30
2018 32
2019 30
2020 33
2021 36
2022 34
2023 44
2024 37
2025 33
2026 23

Les publications récentes

Accès ouvert 2026 article OpenAlex

Biomass-derived hard carbon anodes for sodium-ion batteries: structure–property engineering, mechanistic insights, and data-driven design strategies

Palanivendhan Murugadoss, Nitish Kumar, Deepak Kohli, Basavaraj Devakki et autres

Sodium-ion batteries (SIBs) have emerged as promising alternatives to lithium-ion systems for large-scale energy storage owing to the abundance, low cost, and widespread availability of sodium. Among anode materials, biomass-derived hard carbon (HC) has gained considerable attention because of its low operating …

jp, in, bd, sg, jo (code pays fourni par la source)

0 citations Materials Technology
Accès ouvert 2026 article OpenAlex

Machine learning post-processing for air quality prediction in Japan

Keiya Yumimoto, Syuichi Itahashi, Masamitsu Hayasaki, Seiji Sugata

Abstract A deep learning-based post-processing (PP) system was developed to improve the predictive skill for ozone and particulate matter less than 2.5 μm in diameter (PM 2.5 ) forecasts in the Visual atmospheric Environment Utility System (VENUS) operational air quality forecasting system …

jp (code pays fourni par la source)

0 citations Progress in Earth and Planetary Science
2026 article OpenAlex

Graph Neural Network-Assisted Machine Learning for High-Throughput Buried Interfacial Materials Screening in Antisolvent-Free Perovskite Solar Cells

Gai Liu, K Liu, Haoyu Cai, Biqi He et autres

Numerous interfacial materials have been explored for efficient perovskite solar cells (PSCs). The identification of optimal candidates from the vast chemical space remains a difficult and costly task. Artificial intelligence (AI)-assisted materials screening has emerged as a convenient route to benefit and …

cn, jp (code pays fourni par la source)

0 citations ACS Applied Materials & Interfaces
2026 article OpenAlex

Oxidation-Retarded AgNWs/IZO Composite Electrodes for Highly Efficient and Stable Semitransparent Perovskite Solar Cells

Ze-Qian Guo, Yan-Ping Mo, H Chen, C Wang et autres

Semitransparent perovskite solar cells require top electrodes that are transparent, conductive, and stable, yet bare AgNW networks suffer from high junction resistance and oxidation in air. Here, we combine spray-coated AgNWs with a sputtered indium zinc oxide overlayer on an ALD-SnO x …

cn, jp, gb, us (code pays fourni par la source)

1 citation ACS Applied Materials & Interfaces
2026 article OpenAlex

Nontailpipe Particulate Matter from Brake Wear, Tire Tread, and Road Dust: Environmentally Persistent Free Radicals, Reactive Oxygen Species, and Oxidative Potential

Sukriti Kapur, B. Sage Lauper-Cook, Kasey C. Edwards, Lena Gerritz et autres

Nontailpipe emissions including brake and tire wear and resuspended road dust have become emerging concerns in traffic air pollution. It is thus important to understand the health-related properties of nontailpipe particulate matter (PM) as it becomes a major contributor to traffic air …

us, gb, jp (code pays fourni par la source)

0 citations ACS Earth and Space Chemistry
2026 article OpenAlex

Amcnet: autonomous multi-resolution fusion classification network for complex traffic scene understanding

Wenbin Wang, Kangda Zhang, Yanji Jiang, Hao Dong et autres

In the domain of autonomous driving scene classification, mitigating inter-class similarity remains a significant challenge. This research focuses on learning distinctive target features and modeling their contextual correlations within highly similar, real-world traffic scenarios to enable effective classification. To this end, we …

cn, us, jp (code pays fourni par la source)

0 citations Journal of the Chinese Institute of Engineers
Accès ouvert 2026 preprint OpenAlex

Hanger Reflex Based Driving Assistance for Drivers with Peripheral Visual Field Defects

Hailong Liu, Junya Wada, Toshihiro Hiraoka, Junpei Kuwana et autres

Drivers with peripheral visual field defects may fail to notice pedestrians in their peripheral visual field, leading to delayed hazard awareness and increased collision risk. This study explores hanger reflex cue (HRC) as a driving assistance method for drivers with peripheral visual …

jp (code pays fourni par la source)

0 citations arXiv (Cornell University)
Accès ouvert 2026 article OpenAlex

Energy Harvesting from Electromagnetic Materials

Satish Kadam, Santosh Taware

Energy harvesting has gained significant attention as a promising solution for powering low-power electronic devices without relying on batteries. This work focuses on the design of electromagnetic microgenerators and power processing circuits for low-voltage energy harvesting applications. The study presents novel converter …

cn, in, jp (code pays fourni par la source)

0 citations International Journal of Science Strategic Management and Technology
Accès ouvert 2026 review OpenAlex

Understanding Electric Scooter Fall Accidents Through Human–Vehicle–Environment Interactions: A Systematic Literature Review Using the Haddon Matrix

Clarista Josephine Nathania, Huiping Zhou, Tatsuru Daimon, Jieun Lee

This study aimed to investigate how human, vehicle, and environment (HVE)-related factors and their interactions contribute to fall accidents related to electric scooters (e-scooters). Falls are the most common type of e-scooter accidents, and developing a thorough understanding of the factors that …

kr, jp (code pays fourni par la source)

1 citation Applied Sciences
Accès ouvert 2026 article OpenAlex

Serious injury prediction in motor vehicle crashes: a nonlinear modeling approach using trainable B-spline functions

Yimeng Mei, Fusako Sato, Yusuke Miyazaki

OBJECTIVE: Advanced Automatic Collision Notification (AACN) systems rely on accurate prediction of serious occupant injuries to guide emergency response decisions. Current injury severity prediction (ISP) algorithms predominantly use logistic regression models that assume linear relationships in the log-odds space, potentially overlooking complex …

jp (code pays fourni par la source)

0 citations Traffic Injury Prevention
Accès ouvert 2026 article OpenAlex

An Educational Human Machine Interface Providing Request-to-Intervene Trigger and Reason Explanation for Enhancing the Driver’s Comprehension of ADS’s System Limitations

Ryuji Matsuo, Hailong Liu, Toshihiro Hiraoka, Takahiro Wada

Level 3 automated driving systems (ADS) have attracted significant attention and are being commercialized. A level 3 ADS prompts the driver to take control by issuing a request to intervene (RtI) when its operational design domains (ODD) are exceeded. However, complex traffic …

jp (code pays fourni par la source)

0 citations IEEE Transactions on Human-Machine Systems
Accès ouvert 2026 preprint OpenAlex

Public health impact of better vehicle safety standards in Mexico

Francisco R. Mojarro, Carolina Pérez-Ferrer, Husam Muslim, Sergio Bautista Arredondo et autres

Abstract Background Implementing proven vehicle safety standards recommended by the UN World Forum for Harmonization of Vehicle Regulations is among the most cost-effective strategies to reduce road traffic deaths. In 2022, Mexico approved updated vehicle safety standards, including side pole testing, electronic …

si, jp, om, us (code pays fourni par la source)

0 citations medRxiv

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