Volume 39 Issue 1
Jan.  2021
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FAN Sheng-jiao. Artificial Intelligence and Edge Computing for Intelligent TransportationDevelopment[J]. DIGITAL TECHNOLOGY & APPLICATION, 2021, 39(1): 76-78. doi: 10.19695/j.cnki.cn12-1369.2021.01.24
Citation: FAN Sheng-jiao. Artificial Intelligence and Edge Computing for Intelligent Transportation Development[J]. DIGITAL TECHNOLOGY & APPLICATION, 2021, 39(1): 76-78. doi: 10.19695/j.cnki.cn12-1369.2021.01.24

Artificial Intelligence and Edge Computing for Intelligent Transportation Development

doi: 10.19695/j.cnki.cn12-1369.2021.01.24
  • Received Date: 2020-11-10
  • Rev Recd Date: 2021-01-17
  • Available Online: 2021-09-23
  • Publish Date: 2021-01-25
  • Traffic is very important to urban development. The safety of driving, the smoothness of traffic and the efficiency of logistics transportation are the major traffic problems that need to be improved urgently at present. The development and application of advanced computer technology represented by artificial intelligence push the field of transportation to intelligence. The improvement of artificial intelligence-related technologies will also improve the function of intelligent transportation. In the traffic environment with large population and vehicles, the artificial intelligence system based on edge computing will greatly improve the classification, processing and discrimination ability of traffic data.The improvement of artificial intelligence-related technologies will also improve the function of intelligent transportation. In the traffic environment with large population and vehicles, the artificial intelligence system based on edge computing will greatly improve the classification, processing and discrimination ability of traffic data.

     

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