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Recently, the " AISummit Global Artificial Intelligence Technology Conference " ended successfully through online live broadcast. The theme of the conference was " Driven, Innovation, Digital Intelligence " , and nearly 100 technical leaders of well-known enterprises such as Meta, Microsoft, Google, Ali, and Tencent were invited to attend the conference. share. Dr. Chen Guanling, the technical partner of fuyoukache, was invited to attend to give an in-depth analysis of " the application of autonomous driving in trunk logistics " , providing ideas for the digital transformation of the road freight industry.

Road freight is the " artery " of social operation and the " barometer " of the national economy . In 2021, the scale of China's road freight market will be 6.8 trillion yuan, with 20 million truck drivers.

Statistics show that there is a strong positive correlation between the number of active trucks and GDP, with a correlation coefficient of 0.86. Correspondingly, the national social logistics cost accounts for about 15% of GDP, and there is a big gap with the proportion of 7% in developed countries such as Europe and the United States .

On the other hand, according to the statistics of the Ministry of Public Security, domestic trucks only account for 12% of all motor vehicles, but the traffic accidents involved account for more than 30%, posing a great safety hazard. Based on the above reasons, the promotion and application of autonomous driving technology in road freight transportation has become an industry-wide consensus .

The implementation of autonomous driving in port logistics is relatively fast, because the port has industry pain points such as boring work, dangerous operation, and difficulty in recruiting drivers. In addition, the relatively closed and low-speed driving application scenarios are more friendly to autonomous driving. Since 2018, the automatic driving transformation of domestic port logistics has been greatly accelerated. Many automatic driving technology solution providers have successively implemented the landing application of port trucks, and gradually carried out commercial trial operations. Currently, they have been implemented in 13 ports.

Chen Guanling said that the business model of autonomous driving in the field of port logistics is relatively clear, and it is expected that large-scale commercialization will be achieved in the next 2 to 3 years. Smoothly extended to trunk logistics .

Some institutions predict that in 2021, the number of heavy trucks in China's main line logistics will be about 3.14 million, and the potential replacement market for autonomous driving will exceed 760 billion. By 2025, the potential replacement market is expected to exceed 1 trillion.

A core advantage of autonomous driving is cost reduction . The cost of road freight is mainly composed of fuel costs, driver costs, tolls and other parts. The highest proportion is the driver cost, which is close to 25%. Industry insiders believe that this cost can be completely saved after the L4 autonomous driving technology is mature.

Another potential cost reduction space is the fuel cost, which accounts for nearly 23%. Autonomous driving uses high-precision maps and on-board perception equipment, plus accumulated data and optimization algorithms, to make better planning and decisions to keep the vehicle in the The optimal power consumption range can save 6% to 10% of fuel consumption compared to traditional drivers .

From a technical perspective, Chen Guanling said that the current comprehensive application of autonomous driving in trunk logistics still faces challenges. The first is the perception distance. The longer the perception distance, the longer the braking distance, which allows the heavy truck to brake more safely.

The second is lane change. In most cases, we hope to avoid safety hazards by detecting. These operations require relatively accurate identification of the intentions of other vehicles.

The third is data accumulation. The industry believes that if autonomous driving is to catch up with the safety level of human driving, it will require more than 10 billion miles of road testing. Most startups cannot afford such a cost .

Fuyou Truck is a technology-driven road freight platform that connects shippers and carriers through " Fuyou Brain " to provide FaaS services for freight by service , relying on intelligent pricing, intelligent scheduling and intelligent services and other technical means to pre-price freight orders. Allocate to the most suitable carrier on the platform, and finally realize a transparent, efficient, secure, digital closed-loop road freight service.

Under the empowerment of technology, the current platform's transportation punctuality rate has reached 95.2%, and the vacancy rate and vacancy rate are only 6% and 24.8%, far better than the industry average of 45% and 40%.

Focusing on the commercialization of self-driving trucks, Chen Guanling proposed the " Daylight Project " at the conference. Fuyou Trucks will open-source commercial operation scenarios for self-driving companies .

As a new cooperation model, the "Daylight Plan" is operated and managed by Fuyou Truck, responsible for supply distribution, driver management and delivery quality, as well as other transportation service support, as well as providing key technical indicators. Autonomous driving companies only need to focus on technology iterate. Under this cooperation framework, self-driving truck companies participate in the ecological operation of the Fuyou platform to achieve commercial operations.

Since 2019, ForU Trucking has been exploring autonomous vehicle testing. Compared with traditional logistics operators, Fuyou truck platform has a nationwide intelligent transportation network, unique transaction chain big data, and a unique intelligent middle-end system in the industry, which provides prerequisites for the commercialization of autonomous trucks. . In July last year, Fuyou Truck obtained the first batch of commercial vehicle autonomous driving road test licenses in the Beijing Intelligent Connected Vehicle Policy Pioneer Zone, realizing the extension of the exploration of autonomous driving trucks from closed road sections to open road conditions.