HuanYu Intelligent Transportation Accelerates the Commercial Deployment of Autonomous Driving Trucks
Time:
2019-01-21 15:52
In 2018, autonomous driving remained hot in China. Policies continued to support it, and various cities opened testing zones for intelligent connected vehicles. Technology companies and automotive enterprises joined forces, and autonomous driving technology flourished. Compared to autonomous passenger vehicles, the logistics and transportation industry has a more urgent demand for autonomous commercial vehicles, and perhaps the trucking industry will achieve commercial deployment of autonomous driving faster.
On January 18, 2019, in the Lingang area of Shanghai, two heavy trucks from Huanyu Zhixing made their debut in connected platooning autonomous driving. Throughout the demonstration route, Huanyu Zhixing's autonomous trucks completed functions such as following start, low-speed ACC, congestion mode, high-speed ACC, autonomous overtaking, and AEB after social vehicles cut in, driving in a platoon and single vehicle autonomous driving, all while having a human present but without any takeover during the entire process, smooth and stable.
The Huanyu Zhixing autonomous trucks are equipped with the self-developed TITAN3 domain controller, which can connect to major sensors such as LiDAR, cameras, and millimeter-wave radar. Through fusion technology, it interprets and analyzes the visible environment within hundreds of meters ahead, enabling the trucks to achieve autonomous driving in open scenarios like trunk logistics and semi-closed scenarios like port terminals.
By the end of 2018, the global logistics and transportation market had a total scale of 12.8 trillion USD, and it is expected to maintain a compound annual growth rate of 10% over the next decade. In today's e-commerce-dominated China, the overall logistics industry accounts for about 25% of GDP, which is nearly 4 trillion USD, with road transportation accounting for 75%. Huanyu Zhixing has set its sights on the "intercity freight" market. The highest operating costs for logistics companies are fuel and labor costs. Fully replacing drivers will take a long time; currently, autonomous driving can only reduce wind resistance and save fuel through limited-condition truck platooning, improving driving safety and reducing driver workload. Two drivers jointly conducted platoon testing on the highway with two trucks. Although these two vehicles have basic autonomous driving functions and communicate with each other, drivers still need to monitor them throughout the process. This first step towards deploying autonomous heavy trucks is expected to last about 2-3 years. As autonomous driving technology and related industry support gradually take shape, the lead vehicle can be driven by a human while the following vehicle can drive autonomously. By 2025-2027, in most highway scenarios and specific geographical fences, it is expected to completely detach from the driver, achieving autonomous driving, provided that the traffic signal system communicates with all vehicles, although it will still be affected by weather and other factors. It is estimated that around 2030, after fully developing the previous stages, trucks with autonomous driving capabilities will no longer be limited to highway systems and can operate normally on other roads, with no driver involved in the entire process from loading to unloading. This is a "gradual" evolution path for autonomous truck logistics scenarios adopted by Huanyu Zhixing after thorough analysis.
Huanyu Zhixing expects that the autonomous driving solutions they provide can reduce costs for the logistics industry by 30%.
In this testing demonstration in Shanghai Lingang, Huanyu Zhixing's two heavy trucks formed a platoon through an intelligent connected system, with the lead truck guiding the following truck, which directly "copied" the lead truck's actions and immediately performed the same driving actions, such as following, turning, and emergency stopping. During this process, the driver of the following truck could completely free their hands and feet, only taking control of the vehicle in case of an emergency alert, significantly reducing labor intensity and improving driving efficiency.
Autonomous trucks can directly improve driving safety and economic efficiency, greatly reducing the occurrence of traffic accidents and the consumption of energy and labor costs, achieving comprehensive intelligent management of people, vehicles, and goods during truck operation, ultimately meeting the demand for efficient transportation.
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