Forecasting the Development of Self-Driving Technology in China by Multidimensional Information
Due to the demand for safety and convenience in traveling, self-driving technology has developed very fast in the past decades. In this paper, a novel technology forecasting model is developed. The topic-based text mining and expert judgment approaches are combined to forecast the technology trends...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-01-01
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| Series: | Journal of Advanced Transportation |
| Online Access: | http://dx.doi.org/10.1155/2021/1693459 |
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| _version_ | 1850158305845968896 |
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| author | Yue Li Yan Zhou Xiangying Ma Yunxing Zhang |
| author_facet | Yue Li Yan Zhou Xiangying Ma Yunxing Zhang |
| author_sort | Yue Li |
| collection | DOAJ |
| description | Due to the demand for safety and convenience in traveling, self-driving technology has developed very fast in the past decades. In this paper, a novel technology forecasting model is developed. The topic-based text mining and expert judgment approaches are combined to forecast the technology trends efficiently and accurately. To improve the reliability of the results, multidimensional information including scientific papers, patents, and industry data is considered. Then, the model is utilized to forecast the development trends of self-driving technology in China. Data ranging from 2002 to 2019 are adopted with proper data cleaning. Topic clustering for papers and patents is performed, and the hierarchical structures are constructed. On this basis, the results of technology’s evolution based on papers and patents are compared and the development trends are obtained. With these results, it is speculated that technology on “Decision” will be the next hotspot in patents. The research results of this paper will provide reference and guidance for Chinese enterprises and government in decision-making on self-driving technology. |
| format | Article |
| id | doaj-art-67e2943178944cd9bafb153bb2b487ff |
| institution | OA Journals |
| issn | 0197-6729 2042-3195 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Advanced Transportation |
| spelling | doaj-art-67e2943178944cd9bafb153bb2b487ff2025-08-20T02:23:55ZengWileyJournal of Advanced Transportation0197-67292042-31952021-01-01202110.1155/2021/16934591693459Forecasting the Development of Self-Driving Technology in China by Multidimensional InformationYue Li0Yan Zhou1Xiangying Ma2Yunxing Zhang3Harbin University of Science and Technology, Harbin 150080, ChinaHarbin University of Science and Technology, Harbin 150080, ChinaHarbin University of Science and Technology, Harbin 150080, ChinaHarbin Engineering University, Harbin 150001, ChinaDue to the demand for safety and convenience in traveling, self-driving technology has developed very fast in the past decades. In this paper, a novel technology forecasting model is developed. The topic-based text mining and expert judgment approaches are combined to forecast the technology trends efficiently and accurately. To improve the reliability of the results, multidimensional information including scientific papers, patents, and industry data is considered. Then, the model is utilized to forecast the development trends of self-driving technology in China. Data ranging from 2002 to 2019 are adopted with proper data cleaning. Topic clustering for papers and patents is performed, and the hierarchical structures are constructed. On this basis, the results of technology’s evolution based on papers and patents are compared and the development trends are obtained. With these results, it is speculated that technology on “Decision” will be the next hotspot in patents. The research results of this paper will provide reference and guidance for Chinese enterprises and government in decision-making on self-driving technology.http://dx.doi.org/10.1155/2021/1693459 |
| spellingShingle | Yue Li Yan Zhou Xiangying Ma Yunxing Zhang Forecasting the Development of Self-Driving Technology in China by Multidimensional Information Journal of Advanced Transportation |
| title | Forecasting the Development of Self-Driving Technology in China by Multidimensional Information |
| title_full | Forecasting the Development of Self-Driving Technology in China by Multidimensional Information |
| title_fullStr | Forecasting the Development of Self-Driving Technology in China by Multidimensional Information |
| title_full_unstemmed | Forecasting the Development of Self-Driving Technology in China by Multidimensional Information |
| title_short | Forecasting the Development of Self-Driving Technology in China by Multidimensional Information |
| title_sort | forecasting the development of self driving technology in china by multidimensional information |
| url | http://dx.doi.org/10.1155/2021/1693459 |
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