Listening to the Voice of AI: How will autonomous vehicles reshape the future of logistics and delivery?
Listening to the Voice of AI: How will autonomous vehicles reshape the future of logistics and delivery?
The wave of AI technology is sweeping towards us, and the logistics industry is at the forefront of change. With the rise of intelligent transportation tools such as unmanned vehicles and drones, traditional logistics and distribution models are being restructured, and top players such as Cainiao, JD Logistics, SF Express, and Meituan are gradually increasing the landing of AI in logistics scenarios.
According to McKinsey, an international consulting firm, 80% of package deliveries in the next decade will be automated; It is estimated that by 2025, the annual sales volume of low-speed autonomous vehicle in China will reach 190000, of which 80000 will be in the field of logistics and distribution, becoming the largest application market.
With the continuous advancement of technology and policy support, China is currently actively promoting the scale and commercialization of unmanned delivery services. The development of unmanned delivery technology can not only bring more convenient and safe delivery services to consumers, but also promote the new upgrade of green intelligence in the entire logistics industry.
So, what are the current challenges in the practical application of unmanned vehicle delivery? What role will autonomous vehicle technology play in the future logistics industry? AI Big Model and Wei Jigang, Deputy Director and Researcher of the Market Economy Research Institute of the Development Research Center of the State Council, have each provided their own answers.
What is the future development trend of unmanned vehicle delivery?
Kimi, an AI model developed by the Dark Side of the Moon, has provided its prediction:
The development trend of unmanned vehicle technology in the future logistics industry is irreversible, representing the future direction of logistics automation and intelligence. With the maturity of technology, autonomous vehicles will play an important role in improving delivery efficiency, reducing operating costs, and enhancing service stability. It is expected that in the future, unmanned vehicles will be widely used in urban distribution, internal warehouse transportation, and "last mile" delivery, becoming an important component of the logistics industry.
The image is generated by Zhimeng AI, a subsidiary of ByteDance
The difficulties and challenges faced by the development of autonomous vehicles mainly include technological maturity, regulatory policies, cost control, and social acceptance.
Technically, autonomous vehicles need to maintain stable operation in complex traffic environments and changing weather conditions, which puts higher demands on sensors, algorithms, and control systems. In terms of regulations and policies, the safety standards, road use rights, and accident liability determination of unmanned vehicles have not been fully clarified, and it is necessary for the government and industry to jointly promote the formulation and improvement of relevant regulations. In terms of cost, although unmanned vehicles can reduce labor costs in the long run, the initial investment and technology research and development costs are relatively high, and the industry needs to work together to reduce costs. In terms of social acceptance, the popularization of autonomous vehicles requires the public's understanding and trust in new technologies, which requires time and sustained positive publicity.
Autonomous vehicles will reshape the future of the logistics industry from multiple perspectives. Firstly, it will change the operational mode of logistics and distribution, achieving more efficient flow of goods. Secondly, the application of unmanned vehicles will drive the digital transformation of the logistics industry, optimizing delivery routes and inventory management through data analysis and intelligent decision-making. In addition, autonomous vehicles will promote the development of green logistics, reduce carbon emissions, and align with the global trend of sustainable development. Finally, autonomous vehicles will drive innovation in the logistics industry, giving rise to new business models and services such as instant delivery and intelligent warehousing.
NBD: What is the current application status of unmanned vehicles in the logistics industry?
Wei Jigang: The application of unmanned vehicles in the logistics field has made significant progress, especially in the development of autonomous freight vehicles and intelligent warehousing systems, which have entered commercial applications. Taking the United States as an example, autonomous trucks have begun to be put into use in some long-distance transportation. Autonomous trucks can achieve fully automated long-distance transportation through precise map data, sensors, and computer algorithms.
The domestic autonomous driving industry has gone through a cultivation period of about four to five years. At present, unmanned vehicles have been preliminarily applied on a large scale in many parts of the country. Many cities and provinces have set up demonstration zones for autonomous driving L4 and L5 levels, and have planned specific testing and operation roads and scenarios to encourage enterprises to boldly try and promote commercialization. A large domestic express delivery company has invested over 200 unmanned vehicles in more than 40 cities across the country. In April of this year, the first unmanned vehicle digital management platform in the domestic express delivery industry was launched and put into operation.
NBD: What are the unique advantages of unmanned vehicles compared to traditional logistics transportation methods? How do these advantages translate into improved logistics efficiency?
Wei Jigang: Compared to traditional logistics transportation methods, unmanned vehicle technology can monitor and predict traffic environments in real time through precise sensors and algorithms, reducing human intervention and errors, ensuring the safety and efficiency of transportation processes, and improving logistics efficiency.
Secondly, it saves labor costs. The widespread application of autonomous driving technology will greatly reduce the demand for drivers, especially in long-distance transportation and freight scheduling. At the same time, this technology will also promote the green and low-carbon transformation of the logistics industry. Autonomous driving technology often combines with electric vehicle technology, which not only reduces carbon emissions but also helps improve energy efficiency.
The image is generated by Zhimeng AI, a subsidiary of ByteDance
NBD: What challenges and problems do unmanned vehicles face in practical applications?
Wei Jigang: The application prospects of autonomous driving technology in the logistics field are broad, but it still faces many challenges and problems, mainly including technology, laws and regulations, safety, and social acceptance.
Firstly, there are technical challenges. The core of autonomous driving technology relies heavily on precise sensors and algorithms, but current technology is still unable to fully cope with complex traffic environments and unexpected situations; Next is the issue of laws and regulations. At present, there are no comprehensive legal provisions regarding the on road standards and liability determination for autonomous vehicles.
In addition, how to balance the relationship between technological innovation and social employment, so that autonomous driving technology can bring efficiency improvements without causing excessive impact on society, will become an important issue that all parties need to consider.
NBD: What policies and regulations do the logistics industry need to support the application of autonomous vehicle technology? Is the current policy environment conducive to the development of autonomous vehicle technology?
Wei Jigang: In the application process of unmanned vehicle technology, the government needs to coordinate multiple departments such as industry and information technology, transportation, public security, housing and construction, and postal services to jointly formulate and implement relevant policies to ensure the smooth operation and supervision of unmanned vehicles.
At present, the country attaches great importance to the development of the autonomous vehicle industry and has introduced multiple related policies. For example, in June 2024, the Ministry of Transport and 13 other departments issued the "Action Plan for Large scale Equipment Renewal in Transportation", which mentioned encouraging enterprises to use new energy unmanned delivery vehicles on a large scale in areas that meet the requirements to improve the efficiency of mail and express transit. Overall, the policy environment is relatively favorable for the development of autonomous vehicle technology.
With more new technologies entering the field of autonomous driving and more cities opening up their road rights, the use of autonomous vehicles will shift from single point to comprehensive deployment.
NBD: How do you view the development trend of unmanned vehicle technology in the future logistics industry? How will it further reshape the future of the logistics industry?
Wei Jigang: The application prospects of unmanned vehicle technology in the logistics industry are very broad. Although it faces some technical and social challenges, with the continuous progress of technology and the continuous improvement of related policies, unmanned vehicle delivery will become an important force to promote the transformation of the logistics industry, bringing a more efficient, safer, and environmentally friendly future to the industry.
Future unmanned logistics vehicles will not be limited to the single function of "autonomous driving", but will comprehensively integrate technologies such as big data, artificial intelligence, and the Internet of Things to form a more intelligent logistics ecosystem. Autonomous vehicles will be deeply integrated with intelligent warehousing, intelligent distribution and other links, achieving full chain intelligent management from warehouses to end consumers.
