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.

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.

Development of Operational Architecture for the Automated Driving Minibus Undergoing Demonstration Testing in Shiojiri City

Mitsuaki Nakada (Magna Electronics Japan)･Kazuyuki Murakami (Gentex Japan)･Takamasa Arata (Magna Electronics Japan)･Yukihiko Akaike (T2)･Ryohei Kawabuchi (Tier IV)･Yuichiro Abe (Dassault Systemes)･Katsutoshi Yokoo (Siemens)･David Hetherington (Asatte Press)･Hidekazu Nishimura (Keio University)

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.

Universal Mobility Equation: Quantifying Mobility Index

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.