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Recently, the World Artificial Intelligence Conference (WAIC) and the Global Governance of AI Summit were held in Shanghai, propelling AI to new heights. At the conference, in addition to the dazzling display of humanoid robots from dozens of exhibitors, autonomous driving once again became a focal point of the industry. RoboSense's autonomous taxis, currently being promoted across various regions, are pushing the boundaries of technology and ethics. The unmanned city logistics vehicles and autonomous tour buses jointly developed by NineSense AI and their eco-partner Shangyuan Zhixing are poised to become a crucial component of the future autonomous driving landscape and are set to create new productive forces in the smart cities of tomorrow.
With the continuous maturation of artificial intelligence and autonomous driving technologies, low-speed functional autonomous vehicles are gradually being commercialized across various application scenarios, including logistics, urban services, and tourism. These vehicles not only represent technological advancements but also serve as crucial drivers for the intelligent and modern development of next-generation cities.
『Smart Management · Data-Driven』
—Enhancing Urban Logistics Efficiency
Mid-to-Low Speed L4 Autonomous Logistics Vehicles Enhance Tech-Driven Efficiency, Continuously Improving Urban Operations,These vehicles demonstrate significant potential for smart management in various urban services, such as cargo delivery, reinforcing the role of technology in boosting city logistics.
Based on Shangyuan Zhixing's AutoBots-W7, Autonomous City Logistics Vehicles Are Now Commercially Operating at Scale in Nearly a Hundred Cities Globally
These vehicles provide continuous 24-hour delivery, promptly delivering various goods to customers, thereby reducing labor costs and delivery times. Compared to traditional manned trucks, autonomous logistics vehicles operate with a scheduling system akin to an urban-level AGV (Automated Guided Vehicle) transport system. One can even envision a scenario where, during the nighttime when roads are less busy, fully automated logistics vehicles function like a "city conveyor belt," automatically transporting goods from sorting centers to various stations. This approach reduces energy consumption and alleviates traffic congestion.
Low-Speed Functional Autonomous Vehicles Equipped with High-Precision Sensors and Communication Devices Enable Real-Time Data Collection and Transmission, Allowing City Managers to Make More Scientific and Precise Decisions, Optimize Urban Resource Allocation, and Improve Management Efficiency.
『Technology Empowerment · Cultural and Tourism Innovation*』
—Enhancing Urban Quality of Life
The introduction of autonomous tour vehicles brings new appeal to tourist attractions. Visitors can explore the cultural and scenic charm of the destination while enjoying a novel experience enabled by technology.
Typically, autonomous tour vehicles offer a comprehensive solution for intelligent scene-based travel, employing smart management and digital operations to guide tourists safely and orderly through attractions, thereby enhancing their overall experience.
Low-Speed Functional Autonomous Vehicles Also Play a Crucial Role in Enhancing the Quality of Life for Special Needs Groups. Especially in the realm of mobility for the elderly and disabled, these vehicles offer a more convenient and safer mode of transportation. They can provide customized services based on passenger needs, such as barrier-free boarding designs and automatic voice navigation, significantly reflecting technology's care for special needs populations.
『Green Development · Environmentally Friendly』
—Building a Dual-Carbon City
Low-Speed Functional Autonomous Vehicles Naturally Use Low-Carbon, Environmentally Friendly Lithium-Ion Batteries, Significantly Reducing Urban Carbon Emissions. Compared to traditional internal combustion engine vehicles, electric autonomous vehicles have lower energy consumption and produce no exhaust emissions during operation, making a notable improvement in urban air quality.
For example, the autonomous city logistics vehicles jointly developed by NineSense AI and Shangyuan Zhixing achieve high energy efficiency and low emissions through battery power and an intelligent energy management system. According to estimates, pure electric autonomous city logistics vehicles reduce carbon emissions per kilometer by 39% compared to gasoline-powered vehicles, and by 56% compared to many diesel-powered trucks.
These features not only meet the urban demand for environmental protection but also align with the national "Dual Carbon" policy, which aims for "carbon peak" and "carbon neutrality." The policy targets achieving peak carbon emissions by 2030 and reaching carbon neutrality before 2060.
As a representative of low-carbon technology, low-speed functional autonomous vehicles contribute to the sustainable development of cities. They will drive the growth of the urban low-carbon energy market and offer new pathways for exploring the construction of green and low-carbon smart cities.
Overall, low-speed functional autonomous vehicles enhance technological leadership, bringing together greater intelligence and capabilities. They continuously break through technological and market promotion bottlenecks, exploring new paths, models, and mechanisms for the construction of next-generation smart cities. They are a crucial component in building new productive forces.
TEEMO Shangyuan Zhixing will continue to refine its product vision, aiming to become the core technological foundation of the industry chain. The company is dedicated to transforming the achievements of its smart skateboard chassis into scalable commercial applications, injecting new impetus into the intelligent development of next-generation cities.
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