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The Intelligence Of Logistics Truck Is Imperative

In 2018, the total logistics volume of China's total society has exceeded 260 trillion, becoming the world's largest logistics market. The total operational freight volume of the whole society reached 50.6 billion tons. At the same time, the average distance of intercity transportation exceeded 800 kilometers, of which more than 95% - 98% of the journey is carried by the highway. About 7 million intercity heavy trucks and about 30 million truck drivers are responsible for China's huge intercity network transportation burden. However, an average of 50,700 traffic accidents occur each year, and almost every 1,000 vehicles have a fatal accident every year. This group of data is cold and cold, but it truly reflects the huge security challenges facing the current Chinese intercity truck market.

However, according to incomplete statistics, about 90% of accidents are inseparable from the fatigue driving or irregular driving behavior of truck drivers. The suffering of truck drivers is well known to us. The working environment is relatively closed and difficult, the work intensity is high, the risk is high, and the shortage of labor in the industry is also growing. This makes it difficult for truck drivers to manage and the cost is high.

Currently limited by technology and law, long-distance intercity transportation still has a long way to go to achieve full autopilot. Therefore, to maximize the transformation of the driver's identity, from the traditional sense of the driver into a standardized operator and administrator, greatly reducing the driver's intervention in vehicle driving, is currently the most efficient and realistic direction.

Driving autonomous driving in the logistics industry, the real endogenous power comes from the reduction in TCO (full life cycle cost) and a significant increase in operational efficiency and safety.

In the current TCO composition of the logistics industry and the fleet, fuel consumption and labor costs account for nearly 60%. In comparison, equipment costs account for only 7%. However, the realization of autonomous driving will achieve a 3%-5% increase in TCO cost and a significant improvement in safety performance through a positive change in driving behavior and a significant reduction in manual intervention, which will help the fleet and the entire logistics industry to achieve a reduction in costs. effect.

I believe that in the next 3-5 years, with the evolution of technology and algorithms and the gradual maturity of the industrial chain, autonomous driving will gradually land in the logistics industry. As a deep-growing logistics industry, the G7 will continue to focus on the intelligentization of logistics equipment and help this traditional industry to achieve another upgrade and transformation.

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