• Session No.46 Prospects of Sustainable Automotive Society (OS)
  • May 28Pacifico Yokohama North G316+G3179:30-11:35
  • Chair: TBD
Contents
To continuously investigate a long-term technology roadmap that envisions future mobility, including automobiles, we will conduct extensive discussions on efforts toward realizing a sustainable automotive society.
Committee
Committee for the Realization of a Sustainable Automotive Society
Organizer
Yoshio Maeda (Waseda University), Takashi Ishimori (Hino Motors), Takashi Kawasaki (Toyota Motor), Hiroshi Kawanabe (Kyoto University), Eisuke Kimura (Honda Motor), Kiyotaka Sato (Mazda), Ikuya Yoshida (PwC Consulting)
For presentations that will not be available video streaming after congress, a “✕” is displayed in the “Video” column, so please check.
No. Video Title・Author (Affiliation)
1

Assessment of Carbon-Neutral Scenarios in the Japanese Automotive Sector for the Medium and Long Term

Shuichi Kanari・Hiroshi Hirai・Takaaki Kitamura (JARI)

The Japanese government has announced its commitment to achieve carbon neutrality by 2050. It has introduced measures such as medium-term CO₂ reduction targets, updated fuel efficiency standards, and the 7th Strategic Energy Plan. The authors conduct scenario analyses based on the 7th Strategic Energy Plan and, using the results, estimate CO₂ emissions and related factors such as energy consumption, fuel economy, and rare metal use from the automotive sector in 2050.

2

Study on CO2 Reduction by Improving Traffic Flow

Hayato Shirai・Takashi Nishikiori・Kizuku Yamada・Yoshiyuki Kageura・Tomomi Yamada・Toshiya Hashimoto (Toyota Motor)

To estimate the CO₂ reduction effect of improving traffic flow on expressways, a traffic flow simulation was designed and validated to reproduce individual vehicle behaviors, and was coupled with fuel consumption simulations for passenger cars and heavy-duty vehicles. On multi-lane sections, narrowing the speed range within lanes reduced the frequency of lane changes and acceleration/deceleration, quantitatively demonstrating a decrease in total CO₂ emissions.

3

Development of Operational Architecture for the Automated Driving Bus Currently Being Validated in Shiojiri City

Mitsuaki Nakada (Magna Electronics Japan, Ltd)・Kazuyuki Murakami (GENTEX JAPAN, INC.)・Takamasa Arata (Magna Electronics Japan, Ltd)・Yukihiko Akaike (T2 Inc.)・Ryohei Kawabuchi (TIER IV Inc.)・Yuichiro Abe (DASSAULT SYSTEMES K.K.)・Katsutoshi Yokoo (Siemens K.K)・Heatherinton David (System Strategy, Inc.)・Hidekazu Nishimura (Keio University, Graduate School of SDM)

In this paper, we investigate the operational architecture needed for the automated driving minibus being validated in Shiojiri City. In order to fully understand the needs and requirements for the minibus, we use the Unified Architecture Framework to describe the regional digital transformation strategy of Shiojiri City and to derive the needs and requirements for defining the vehicle architecture of the minibus.

4

Perception data collection and analysis of cultural, geographical, and policy society aspects of CCAM planning in Spanish rural areas

Natalia Gonzalez Gallego・Laura Rodriguez Llanza (Applus+ IDIADA)

This paper presents a comprehensive methodology for assessing societal readiness for Connected, Cooperative, and Automated Mobility (CCAM) implementation in rural European contexts through the Diversify-CCAM project framework. The study demonstrates how mixed-method approaches —combining quantitative surveys (n=339) with qualitative stakeholder workshops— can reveal the complex interplay between cultural attitudes, geographical constraints, and policy barriers affecting CCAM adoption. By examining rural municipalities in Baix Penedès, near Barcelona, this research proposes a replicable framework for understanding how local contexts shape technology acceptance and identifies critical factors for inclusive mobility planning. The paper contributes to CCAM literature by showing how participatory research methods can bridge the gap between technological capabilities and real-world implementation challenges in rural European settings.

5

Quantifying Mobility Potential: A Unified Equation for Future Mobility Concepts

TAEHEE LEE・DAE-UN SUNG (Hyundai Motor)

This paper proposes a universal mobility equation to quantify movement capability for biological and artificial agents. Inspired by the Drake Equation, the model integrates physical power, environmental constraints, structural mobility, technological support, social authority, purposefulness, and time. Comparative analysis using humans, drones, and AI robots demonstrates how these factors interact to shape mobility potential. The framework enables interdisciplinary evaluation and simulation, offering insights for future mobility concepts, intelligent agent design, and mobility inequality studies.

Back to Top