A real time vehicle management system implementation on cloud computing platform

Author(s):  
Hua Yi Lin ◽  
Jiann Gwo Doong ◽  
Meng Yen Hsieh ◽  
Kuan Ching Li
2013 ◽  
Vol 303-306 ◽  
pp. 2403-2406
Author(s):  
Fang Qin Xu ◽  
Xi Yu ◽  
Jin Gao Liu

These years, rapid developments of Internet of Things provide powerful motivation to container freight. As the current situation, Framework of Container system and its basic infrastructure are all in starting stage, unanimous standard and hardware support are two obstructions for it. Considering that Container system will provide profound influences to Chinese market, the authors mainly design a CPS architecture of Container Management system and transplant software parts to Cloud computing platform. After that, the new container system will fully take advantage of Internet and reduce reliance toward computer’s hardware. After utilizing distributed software of Cloud servers, the management system will become much more efficient, providing a better service platform for consumers.


2021 ◽  
Vol 2065 (1) ◽  
pp. 012020
Author(s):  
Nver Ren ◽  
Rong Jiang ◽  
Dongze Zhang

Abstract An cloud computing platform based on B/S architecture and docker container technology for autonomous driving simulation has been established in this paper. The map editor module of the cloud platform lets users design 3D scenes for simulating and testing automated driving systems. When the customized roadway scene for simulation created, it would be saved as OpenDrive format both for the server of cloud platform and CarMaker’s TestRun which all parameters of the virtual environment (vehicle, road, tires, etc.) are sufficiently defined. Then, based on the application online (APO) communication protocol of CarMaker, the local APO agent service was created. When the 27 parameters of vehicle dynamics received from CarMaker server, they were sent to the cloud platform in real time through UPD protocol. The process of data communication is completed by APO agent. Through the work above, a co-simulation between cloud platform and CarMaker could be successfully established for autonomous driving with seventeen-degree-of-freedom. Through the co-simulation experiment, it is found that the real-time data sampling frequency of the co-simulation is 70Hz, which completes the synchronous simulation of carmaker and cloud platform.


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