Autonomous vehicles pick up pace in Beijing


Artificial intelligence: A Pony-ai autonomous driving vehicle in Beijing. The company is one of two that has been granted the latest permits in the capital, to fully test its driverless vehicles on public roads, with no driver or safety operator in the car. — Pony-ai

BEIJING: Autonomous driving vehicles may become more ubiquitous much sooner than many expect.

The commercialisation of self-driving technology is expected to gain momentum in China in the next few years, thanks to continuous technological innovation and considerable policy support, industry experts said.

China has taken the lead in the research and development as well as the application of autonomous driving technology around the world, and it is the first country to allow fully driverless, paid robotaxi operations, as the market potential of this technology continues to grow in the nation, they added.

The self-driving industry is set to witness robust growth in the coming years.

The market size of China’s self-driving taxi services is expected to surpass 1.3 trillion yuan (US$188.6bil or RM830bil) by 2030, accounting for 60% of the country’s ride-hailing market by then, according to a report by global consultancy IHS Markit.

It is noteworthy that the domestic robotaxi market will eventually be dominated by two to three major service providers, with the top providers occupying more than 40% of the total market share.

Chinese tech companies have been striving to advance the technology and accelerate the commercial use of autonomous driving vehicles.

Baidu Inc recently announced it plans to put an additional 200 fully autonomous driving robotaxis into operation across the country in 2023, and build the world’s largest fully driverless ride-hailing service area.

“The massive cost reduction will enable us to deploy 10s of thousands of autonomous vehicles across China,” said Robin Li, co-founder and chief executive officer of Baidu. “We are moving towards a future where taking a robotaxi will be half the cost of taking a taxi today.”

Li said the company plans to expand its autonomous ride-hailing platform Apollo Go services to 65 cities in 2025, and 100 in 2030.

Currently, Apollo Go covers more than 10 cities in China, including Beijing, Shanghai and Guangdong province’s Guangzhou and Shenzhen.

So far, Baidu has accumulated more than 40 million kilometres of L4 autonomous driving test mileage. By the end of the third quarter of 2022, the cumulative order volume for Apollo Go rides exceeded 1.4 million, making Baidu the world’s largest robotaxi service provider.

Autonomous driving is classified from L1 to L5. The higher the level, the more intelligent the technology.

L4 autonomy means the car can drive by itself in most conditions without a human backup driver. It is one level below L5, which is generally described as full automation, able to drive itself in all conditions.

The Chinese authorities have rolled out a slew of supportive policies to promote the commercialisation of self-driving technology.

In November, the Industry and Information Technology Ministry and the Public Security Ministry unveiled a draft guideline to expand road tests for autonomous driving vehicles nationwide.

On Dec 30, Beijing granted its latest autonomous driving permits to two robotaxi operators – Baidu and Pony.ai – to test their fully driverless vehicles on public roads, with no driver or safety operator in the car, a major step in its autonomous ride-hailing business in the capital.

With permits issued by the head office of the Beijing High-Level Automated Driving Demonstration Area, the two companies can provide up to 10 autonomous vehicles each in a designated area in Yizhuang, a southern suburb of Beijing, covering a series of complex road scenarios.

A remote safety operator will take control of the vehicle in case of an emergency via an online assistance platform.

Self-driving vehicles

In August, China released its first national draft guideline on the use of self-driving vehicles for public transport. Local governments in Wuhan, Hubei province, and Chongqing’s Yongchuan district granted Baidu the country’s first permits to charge fares for fully driverless ride-hailing services – completely without human drivers in the car – in designated areas the same month.

In addition, the South China metropolis of Shenzhen has allowed fully autonomous vehicles without human drivers to run on certain roads since Aug 1, when a local regulation on smart and internet-connected vehicles came into effect.

“Continuous testing on public roads, easing regulations, and cost reductions in autonomous vehicle manufacturing will help accelerate the deployment and commercialization of self-driving cars,” said Lyu Jinghong, an intelligent mobility analyst at research firm BloombergNEF.

He said that China has caught up with the United States in the development of autonomous driving, and added that clear regulations at the national level will encourage local governments and autonomous driving companies to speed up the application of self-driving technology, which is crucial to achieving commercialisation targets.

According to BloombergNEF’s 2022 Electric Vehicle Outlook, China will operate the world’s largest robotaxi fleet with about 12 million units by 2040, followed by the US, with around seven million vehicles.

China is planning to realise the scale production of vehicles capable of conditional autonomous driving and commercialisation of highly autonomous vehicles in certain circumstances by 2025, according to a blueprint issued by the National Development and Reform Commission and 10 other ministries.

Self-driving startup Pony.ai is ratcheting up efforts to push forward the commercial application of self-driving technologies.

It has received permits to operate 100 autonomous vehicles in Guangzhou’s Nansha district, charging fares based on local standard taxi pricing for its robotaxi services.

Pony.ai plans to expand its commercialised robotaxi footprint to Shanghai and Shenzhen this year and to more cities in 2024.

It has also inked partnerships with OnTime, Chinese carmaker GAC’s ride-hailing app, and Caocao, another ride-hailing platform, in an effort to deploy more robotaxis on the streets and gradually improve the public’s trust in autonomous driving.

“The inclusion of autonomous vehicles in the unified and standardised management of taxis proves that both government policy and the public are increasingly accepting robotaxis as a form of everyday transportation, recognizing the ride experience and technical stability of Pony.ai’s robotaxi,” said Lou Tiancheng, co-founder and chief technology officer of Pony.ai.

Moreover, the company is collaborating with SAIC artificial intelligence lab, a division of auto manufacturer SAIC Motor, to jointly explore and advance driverless technology.

Market boom

Data from market research firm Research and Markets showed the global autonomous vehicle market was valued at US$76.13bil (RM335bil) in 2020 and is projected to hit US$2.16 trillion (RM9.5 trillion) by 2030, registering a compound annual growth rate of 40.1% from 2021 to 2030.

“Autonomous driving is definitely the future of the automobile industry,” said Jiang Zheng, a self-driving expert at China’s GAC R&D Centre.

“It not only solves traffic safety problems, but also greatly improves the efficiency of transportation, brings about economic benefits and liberates people from repetitive driving.“Currently, China has gained an upper hand in the testing scenarios of autonomous driving vehicles and accumulated massive data compared with other countries by establishing intelligent connected vehicle pilot zones in several cities,” said Zhang Xiang, a researcher at Jiangxi New Energy Technology Institute.

The small-scale commercial operation of fully driverless robotaxis is expected to become a reality in 2025 considering the complicated traffic conditions, Zhang said.

He added that the manufacturing costs of driverless vehicle components, such as lidar sensor systems, have declined along with advances in self-driving technology and maturation of related industrial chains.

He called for efforts to strengthen the construction of intelligent transportation infrastructure, such as 5G-enabled vehicle-road coordination systems, which support the transfer of information from vehicles to roadway networks as a way to improve traffic efficiency. — China Daily/ANN

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