noteProject Summary
Budget
Up to 42 billion yen
CO2 Reduction Effect
- In 2030
- Approximately 1.69 million tons/year (Japan)
- In 2050
- Approximately 13.2 million tons/year (Japan)
Approximately 340 million tons/year (World)
Economic Effect (World)
- In 2030
- Approximately 43 trillion yen/year
- In 2040
- Approximately 148 trillion yen/year
Research and Development Targets
1. Open platform software for automated driving
- Within the scope of R&D addressed by this project, reduce power consumption of In-vehicle computing by at least 70% compared to current technology, while taking into account load placed on networks and the cloud.
- Realize level-4 automated driving function (including factors such as safety and reliability) in principal travel environments.
2. Automated driving sensor system
- Within the scope of R&D addressed by this project, reduce power consumption of In-vehicle computing by at least 70% compared to current technology, while taking into account load placed on networks and the cloud.
- In terms of sensory and recognition capabilities, realize level-4 automated driving function (including factors such as safety and reliability) in principal travel environments.
3. Electric vehicle simulation infrastructure
- Establish methodologies for building the simulation model of whole electric vehicle based on a “digital twin” approach to realize level-4 automated driving compatible with SOTIF, that can be utilized in common by Japanese automobile and components manufacturers. In developing such a model, realize a dynamics simulation precision of at least 90%, while reducing by 50% the term required for using actual devices to conduct performance verifications.
Assumptions regarding estimates of CO2 reduction effect
- Estimates calculated on basis of assumption that number of vehicles in Japan totals 74.4 million vehicles, with a global total of 1.9 billion vehicles.
- With regard to 2030, estimates calculated on the reduction effect when high level ecological driving is in operation during normal driving on highways.
- With regard to 2050, estimates calculated on the reduction effect when high level ecological driving is in operation during normal driving on highways and ordinary roads, and reduction effect eliminates traffic congestion in sag part and tunnels and caused by accidents.
Assumptions regarding estimates of economic effect
- Based on the report “Future Prospects for Automated Driving and the AI Car Market, 2019” prepared by Fuji Chimera Research Institute, Inc., the market for automated vehicles is estimated to total 40 trillion yen by 2030 and the related market for components is estimated to total 3 trillion yen.
- Based on the same report, the market for automated vehicles is estimated to total 143 trillion yen by 2040 and the related market for components is estimated to total 5 trillion yen.