(October 30, 2017) SHANGHAI, China — Pedestrian crossings on the highway, separate speed limits for each lane, traffic signs with Chinese characters — traffic in China differs from that in Europe or the U.S, in many aspects. That is why China requires foreign motorists to have a Chinese driving license. Automated and autonomous vehicles also have to prove their fitness for this market in advance.

Mercedes-Benz started the Intelligent World Drive at the Frankfurt International Motor Show in September to adapt more highly automated driving functions to national user and traffic practices.

After the start in Germany, the test vehicle based on the new production S‑Class Saloon is now being put through its paces in test drives in the heavy traffic and exposed to the special national features in the Chinese megalopolis of Shanghai in October. The test vehicle will face different traffic situations on five continents until January and will also gauge the limits of current systems in the process. The aim is to gather global insights in real-life traffic for the advancement of the technologies.

Urban traffic is one of the biggest challenges on the road to autonomous driving. Automated driving functions must be able to master highly complex traffic situations, which can differ greatly around the world to boot. The focus of the test drives in Shanghai is on assessing the driving behavior in extremely heavy traffic with its different participants, as well as on infrastructure peculiarities.

Peculiarities in Chinese traffic

The high density of cars, two-wheelers, three-wheelers and pedestrians and the associated traffic behavior in Chinese cities pose different requirements on automated driving functions than in Europe or the U.S. In addition, there are road signs with Chinese characters and lane markings, which in China have different or even multiple meanings.

For example, short white lines, known around the world as pedestrian crossings, can also be found on motorways. However, they don't denote a pedestrian crossing, but the minimum distance between vehicles. The sensors must be able to recognize this and interpret it correctly. The same is true for speed limits, which can differ from one lane to another. Another challenge: Parking spaces come in many different shapes and frequently are full of obstacles that are hard to detect for sensors.

These special national features show how important it is to gather worldwide insights into real-life traffic on the road to autonomous driving and to adapt automated driving functions to the particular traffic practices and conditions. In the past seven years, Mercedes-Benz conducted about 5,100 test drives around the world with 175 test mules for validations of driver assistance systems in the field alone.

The performance of the driver assistance systems was assessed on some 9.5 million kilometers in Europe, the U.S., China, Australia and South Africa, and more than 1.2 million measurements were made especially in real-life traffic situations for their continuous advancement.

China is the largest automobile market in the world. The Mercedes-Benz Research & Development Centre in Beijing has therefore been an integral and crucial component of the global R&D network of Daimler AG for over a decade.

"Our local R&D activities play a key role in understanding the expectations and needs of our Chinese customers," says Prof. Dr. Hans-Georg Engel, senior executive vice president of Daimler Greater China Ltd. and head of Mercedes‑Benz Research & Development, Platform Management and Procurement China.

"In this way, we can offer them tailor-made products, proving our dedication to go that extra mile for them. We are tapping our potential and putting our Chinese customers in the center of our future product development." Meanwhile the number of employees there has grown to around 850.

An important part of the activities of R&D China is to capture and process the local traffic conditions and practices for the development of automated driving functions. In this process, Mercedes-Benz cooperates in, among others, a joint research project with Tsinghua University, China's leading technical university. The Tsinghua-Daimler Research Centre has been working on pioneering projects on the development of sustainable China-specific traffic solutions since 2012. These include active and passive safety systems, accident research, integrated traffic information systems, and the exploration of traffic and traffic regulations in mega-cities.