Shanghai and Hong Kong promote the flow of traffic big data. How can Shanghai's 1.48 million new energy vehicle data platform play its advantages?
2024-08-18
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On August 17, a reporter from the First Financial Daily learned at the Shanghai-Hong Kong data exchange and cooperation event held at the Shanghai International Automobile City EV-AI Smart Port that in order to further increase the synergy between Shanghai and Hong Kong, the two places are carrying out multi-dimensional cooperation around data circulation and application to promote Shanghai-Hong Kong cooperation on transportation big data.
"Promoting data cooperation between Shanghai and Hong Kong" has been written into the documents of the sixth Shanghai-Hong Kong cooperation meeting this year. Shanghai and Hong Kong have opened up the data use path by holding a "cooperative open data competition" for effective use by scientific research institutions in both places, promoting the formation of high-quality data sets such as new energy vehicles and other transportation data, and further promoting data cooperation between Shanghai and Hong Kong.
Li Zhenye, director of the Shanghai-Hong Kong Cooperation Digital Ecosystem Exchange Center, told the First Financial reporter: "China has the world's largest new energy vehicle market. In the development of new energy vehicles, data collection, analysis and application are important links. We are also considering how to further promote cooperation between industry, academia and research, analyze the high-quality data of Shanghai's new energy vehicles, and build on the Shanghai traffic data model to provide application scenarios for Hong Kong's smart transportation."
Qiao Li, director of the New Energy Business Department and Data Center of Shanghai International Automobile City (Group) Co., Ltd., said at the event that the Shanghai New Energy Vehicle Public Data Collection and Monitoring Research Center (EVDATA) platform currently collects relevant data on about 1.48 million new energy vehicles in Shanghai. These data will provide a valuable resource library for the city's digital integrated governance and urban green transportation.
Hong Kong has a strong university R&D team, such as the newly established Electric Vehicle Research Center of the Hong Kong Polytechnic University, which is led by Chen Qingquan, an academician of the Chinese Academy of Engineering, and focuses on cutting-edge research and development in the fields of electric vehicle technology, smart transportation systems and energy management.
Li Zhenye said that Hong Kong has a lot of basic scientific research capabilities, but in recent years there have not been many application scenarios for new technologies such as digitalization. Promoting digital ecological exchanges and cooperation between Shanghai and Hong Kong can help explore open data application scenarios in the two places and make the commercial value of the scenarios within reach.
The cooperation between Shanghai and Hong Kong on smart car data is very important for promoting the development of smart transportation. Recently, the Chinese government has taken a more open attitude towards the circulation of car data, while emphasizing the compliance of data and clarifying which smart connected car data can be shared.
In this regard, Li Zhenye said: "I think the flow of cross-border traffic data can start with the mainland and Hong Kong as a pilot. At present, we already have very clear regulations. Except for sensitive data such as personal information, most smart car data is not sensitive, that is, data that can be used by R&D personnel."
When talking about the development of "driverless taxis" (Robotaxi) that Shanghai is vigorously promoting, Li Zhenye said that mainland cities are at the forefront of the world in the application of new technologies and are also the objects of emulation for Hong Kong. However, autonomous driving has very high requirements on actual road conditions. Hong Kong's urban road conditions are one of the most complex in the world, which may be similar to Chongqing in the mainland. It is not easy to promote autonomous driving.
(This article comes from China Business Network)
