Open road grading method and device based on intelligent network connection automobile test
A technology of automobile testing and intelligent network, which is applied in measurement devices, vehicle testing, roads, etc., which can solve the problems of inconvenient promotion and copying, and achieve the effect of good coordination.
Pending Publication Date: 2022-07-15
清华大学苏州汽车研究院(吴江) +1
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Problems solved by technology
Among them, some cities mainly use qualitative descriptions for the definition of road classification and traffic complexity, while other cities rely on the surveyed road network data sets for the classification of road environment. They have their own thinking, which also makes there are large and small differences between the city-level open road test grading methods, and these differences will have a certain impact on technology iteration and industrial development, and it is not easy for other cities to promote and copy
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Embodiment
[0074] Taking an open road for the test of intelligent networked vehicles in a city as an example, select one of the road sections to conduct an open road intelligent networked grading evaluation. Considering that the normal driving of non-test vehicles and the normal operation of surrounding roads cannot be affected, the test of intelligent networked vehicles should, in principle, avoid the morning and evening rush hours. Therefore, the evaluation factors for road complexity, traffic flow complexity and environmental impact degree are all Only the normal state during off-peak hours is considered.
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The invention discloses an open road grading method and device based on intelligent network connection automobile testing. The method comprises the following steps: determining the intelligent level of a current road section according to the road complexity, the traffic complexity and the environmental influence degree of the current road section; determining a networking level of the current road section according to the infrastructure digitization degree of the current road section; and determining the intelligent networking level of the current road section according to the intelligent level and the networking level. The open road test grading method which is relatively objective, can be copied and popularized and is complete and unified is provided by respectively carrying out intelligent and networking grading on the open roads, the open road grading can be scientifically and quantitatively guided and tested, and thus the intelligent and networking grade of the open roads and the technical level of intelligent networking automobiles can be further determined according to the intelligent and networking grade of the roads and the technical level of intelligent networking automobiles. Different test requirements are provided, the test requirements of the intelligent network connection automobile can be better coordinated, and the traffic safety of an open road can be better tested.
Description
technical field [0001] Embodiments of the present invention relate to the technical field of open road classification, and in particular, to an open road classification method and device based on intelligent networked vehicle testing. Background technique [0002] Under the joint promotion of national policies and industrial enterprises, the development of key technologies of intelligent networked vehicles has achieved great results, and has begun to enter the stage of open road testing. After the test road is opened, it will often attract many companies to test the autonomous driving technology. While meeting the test requirements of intelligent networked vehicles, in order to ensure the traffic safety and test efficiency of the test process as much as possible, it should be based on intelligent networked vehicles. Therefore, it is necessary to form a road classification method corresponding to the test difficulty. [0003] For the classification method of open road testin...
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Login to View More IPC IPC(8): E01C1/00G08G1/01G01M17/007
CPCE01C1/00G08G1/0137G08G1/0104G01M17/007
Inventor 戴希戴一凡王璇
Owner 清华大学苏州汽车研究院(吴江)
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