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| Title | Design Of Urban Intelligent Traffic Congestion Situation Monitoring System Based On Big Data |
|---|---|
| ID_Doc | 18971 |
| Authors | Zhang D.; Jiang Y. |
| Year | 2020 |
| Published | Proceedings - 2020 International Conference on Intelligent Transportation, Big Data and Smart City, ICITBS 2020 |
| DOI | http://dx.doi.org/10.1109/ICITBS49701.2020.00011 |
| Abstract | In the traditional urban intelligent traffic jam situation monitoring system, there is a problem of long data query time when analyzing and computing the data. Based on this, an urban intelligent traffic congestion situation monitoring system based on big data is designed. Build the overall framework of the system, and design the hardware system and the software system. The hardware system includes distributed storage host, parallel computing host, user terminal, switch, data access host and monitor.; the software system mainly includes data docking, storage, analysis and visualization and other functional modules, realizes distributed storage and parallel computing of data based on Spark technology, and completes the design of urban intelligent traffic congestion situation monitoring system based on big data. The experimental results show that the designed urban intelligent traffic congestion situation monitoring system based on big data needs less query time and can compute and process data more quickly. © 2020 IEEE. |
| Author Keywords | Big data; Congestion situation; Monitoring system; Urban intelligent transportation |
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