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To build a powerful transportation demonstration of China: Zhengzhou Smart Island with the help of vehicle-road coordination and self-driving
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Science & Technology Review | 2020, 38(9) : 82 - 88
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Science & Technology Review | 2020, 38(9): 82-88
Exclusive: Building China's Powerful Transportation
To build a powerful transportation demonstration of China: Zhengzhou Smart Island with the help of vehicle-road coordination and self-driving
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REN Yongli, DONG Hangrui
Affiliations
    Zhengzhou Yutong Bus Co., Ltd., Zhengzhou 450000, China
Published: 2020-05-13 doi: 10.3981/j.issn.1000-7857.2020.09.011
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This paper discusses the development status and bottleneck of traditional intelligent transportation at first, then combined with the development of motor road coordination technology it puts forward an integrated intelligent transportation solution of car, road and cloud. Next, it presents the L4 self-driving bus demonstration operation under open road condition of Zhengzhou Smart Island, which has been put into normal operations for passengers. The successful landing of the project has verified the feasibility of the road coordination core application scheme(blind zone early warning and signal coordination), and laid a practical foundation for the development of road cooperative technology innovation. Finally the paper visions the future of the coordinated development of the road in terms of the country's latest 5G and transportation power policy.
vehicle-road coordination  /  autonomous vehicles  /  blind spot monitoring  /  traffic signal collaboration
REN Yongli, DONG Hangrui. To build a powerful transportation demonstration of China: Zhengzhou Smart Island with the help of vehicle-road coordination and self-driving[J]. Science & Technology Review, 2020 , 38 (9) : 82 -88 . DOI: 10.3981/j.issn.1000-7857.2020.09.011
Year 2020 volume 38 Issue 9
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doi: 10.3981/j.issn.1000-7857.2020.09.011
  • Receive Date:2020-03-29
  • Online Date:2020-06-05
  • Published:2020-05-13
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  • Received:2020-03-29
  • Revised:2020-04-27
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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