Data Acquisition and Mining Algorithm of Car Networking under Big Data Background
| Autor: | Guohua Xiong |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
car networking
data acquisition business.industry Computer science Computer applications to medicine. Medical informatics Big data R858-859.7 General Engineering Cloud computing Context (language use) Data repair computer.software_genre Data mining algorithm Data acquisition big data mining algorithm Data mining Architecture business Cluster analysis computer |
| Zdroj: | International Journal of Online and Biomedical Engineering, Vol 15, Iss 01, Pp 4-17 (2019) |
| ISSN: | 2626-8493 |
| DOI: | 10.3991/ijoe.v15i01.9772 |
| Popis: | In order to solve the problem of traffic jams, intelligent traffic technology and car networking technology were applied. In the context of big data, data acquisition and mining algorithms for vehicular network were studied. First, the overall architecture of the system was introduced. Then, the data acquisition technology based on the car network and the data mining technology based on the cloud plat-form were introduced. Finally, simulation experiments of real-time traffic information collection and recognition algorithms were performed. The results showed that the proposed mining algorithm had better data repair effect and better clustering effect, and the probability of misjudgment was smaller. Therefore, the algorithm can obtain accurate road traffic conditions. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|