快3彩票Recently, Beijing Cuihu Intelligent Network Company and China Transinfo took the lead, joint with Nufront, NavInfo Co.,Ltd., wrote "Demonstration Application Project of Automatic Driving in Environmental Protection Park" and completed the first phase construction plan and project budget of the application demonstration area of automatic driving scenario in environmental protection park. It is expected to complete the project construction within the park at the end of July, to form network open test capability and to develop the application of automatic driving scenarios.
快3彩票Nufront will provide the network infrastructure of the application demonstration area of automatic driving scenario in environmental protection park with EUHT-5G technology. It can carry various applications such as vehicle to vehicle communication (V2V), vehicle to roadside facility communication (V2I), vehicle to control center communication, and vehicle to network communication (V2N). In the early stage, 15 base stations are planned to be deployed, covering 3.6 square kilometers of the application demonstration area of automatic driving scenario in environmental protection park. Until now, the whole network deployment plan has been completed, and the installation of base station equipment is being prepared. After completion, EUHT-5G signal in the demonstration section of automatic driving will achieve two-way no blind area and full coverage.
EUHT-5G technology is a world-leading wireless communication technology, which independently developed by our country and supported by National Science and Technology Major Project. Nufront has a complete set of EUHT-5G communication core chips and key products such as base stations and terminals. The main features of EUHT-5G are as follows: first, it realizes high reliability (handover success rate higher than 99.999%) in high-speed moving scenario (over 200 km/h in road environment); second, it realizes low latency (4.2 milliseconds in end-to-end delay) and high bandwidth (150 Mbps), which can completely meet or even exceed the performance requirements of automatic driving scenario.