Cars are becoming smarter, and autonomous driving is being road tested in China and around the world. As a result, the Intelligent Transportation System (ITS) has a better foundation to serve cities. What are the recent trends of the development of the ITS? What is the relationship between the newest smart cars and intelligent transportation systems? What applications does the ITS have in China’s large cities? How does big data support the ITS?
A panel discussion in the GAF called “Intelligent Transportation Systems for the Smart City” was held in the afternoon of June 6th. Guests participating in this session included Li Keqiang (Dean of Automotive Engineering Department of Tsinghua University, China), Xie Fei (Vice President of China Automotive Engineering Research Institute), Sun Yongyi (Vice General Manager of Baidu Autopilot Project), Cheng Jie (CEO and Founder of Gausscode Technology, Inc, USA). They respectively elucidated the development and application of Intelligent Transportation System to smart city.
“Intelligent Transportation Systems has exceeded the realm of automobiles,” said Huo Shuzeng, the host of this panel discussion and deputy director of the Commerce and Technical Department of China Council for the Promotion of International Trade’s Automotive Committee. After expressing his views he solicited the views of the other panelists.
Smart vehicles are a part of the Intelligent Transportation System.
Through contemporary electronic communication and control technologies, Intelligent Transportation System connects the three elements of transportation, which can solve the problems faced by the system. After two decades’ of development, the concept of Intelligent Transportation System has changed a lot.
Li Keqiang holds the view that the core technologies needed by Intelligent Transportation System is based on big data and the cloud platform of the Internet. Systems related to smart cities and playing the role of promotion include data system managing vehicles, data managing transportation and personnel.
As for the relationship between Intelligent Transportation System and smart cars, Li Keqiang pointed out that smart cars are a part of the Intelligent Transportation System, and they are closely related with each other, and cannot be separated.
Intelligent Transportation System is widely applied in China.
Europe, USA and Japan had done a lot to build a systematical framework of Intelligent Transportation System. In China, Intelligent Transportation System is widely used in some big cities. Xie Fei (vice president of China Automotive Engineering Research Institute) pointed out that Intelligent Transportation System is applied to the following domains--automotive GPS, electronic fee collection, automotive safety aiming at aided driving and autonomous driving, the driving area of public transportation, communication of passers-by, and transportation management.
Further, Xie Fei said that China will issue newa law on autonomous driving.
“Driverless vehicles” make cities and transportation more intelligent and efficient.
In the recent decades, due to the promotion in capacity of mass storage and performance of mass computing, artificial intelligence has developed rapidly. Since the founding of the deep learning laboratory in 2013, Baidu has made rapid progress in artificial intelligence.
Sun Yongyi (vice general manager of Baidu Autopilot Project) said, “Driverless vehicles need to know what the world looks like, Baidu Map can undertake this task. Further, the accurate locating technologies of Baidu Map are achieved through GPS and radar.” Baidu Map’s locating technologies are very accurate with deviations within 10cm, which mean that the passengers can tell which road they are taking. GPSs of cell phones and automobiles have difficulty in telling whether they are on or under a bridge, whether they are on the main road or the side roads, which is perfectly solved by their technologies.
Sun Yongyi pointed out that artificial intelligence can explore unexplored domains. Driverless vehicles of Baidu, based on the artificial intelligence, can tell the vehicles passing by on the road. Further, driverless vehicles make cities and transportation more intelligent and efficient. Meanwhile, driverless vehicles make traveling more convenient. Sun explained, “Driverless vehicles are cars based on the integration of electronic vehicles and driverless vehicles. In the future, if we achieve the goal of completely autonomous driving, traveling expenses would be cut down to one third of that of taxis.”
The future of Intelligent Transportation System are three “I”s.
Intelligent Transportation System (ITS) starts from automobiles and is formed by the need of automotive products. With the evolution of automobiles, the government put forward more requirements in control of transportation, safety of transportation, drivers’ driving behaviors. What would ITS look like in the near future? In the opinion of Cheng Jie (CEO and Founder of Gausscode Technology, Inc, USA), vehicles are not independent from each other. They will be the intelligent mobile terminal. “Automobiles in the future can be understood as a big cell phone plus four tires, or five, six or even just one. But the control is achieved by the cell phones,” said Cheng Jie.
Finally, Cheng Jie pointed out that, starting from the point of big data, we can regard ITS as three “I”s. The first “I” is instrument, transmission equipment, which possesses the ability of perception. The second “I” is interconnectivity, the Internet, which knows the demand of local control and transmits it to the center of Internet, and thus achieved the goal of intelligent. The third I is data intelligence. The first step is based on the generation of data processing and analysis, including the system with the static data and dynamic data. This helps people to achieve a series of transportation planning, urban planning, and timely response to real-time as well as fast responses to control management.