.png){kind=icon}
返回
Big data analysis and cloud computing for smart transportation system integration
.png){kind=icon}
PRE
AI
DOI：10.1007/s11042-022-13700-7.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Big data and cloud computing are becoming more critical in transportation systems as these technologies develop. Transportation companies can recognize and forecast potential traffic problems and offer appropriate responses. To avoid hindering mobility, one might use predictive analytics to assess the effect of various development initiatives and suggest a viable alternative. Due to automobiles' flexibility and rapid changes in their environment, creating an effective communication system for vehicular networks is tough. An intelligent transportation system with big data analytics and cloud computing (STS-BCC) is the goal of this research work. Data mining is used to anticipate traffic conditions using a machine learning method. The cloud platform provides a secure storage service and processing unit to aid traffic forecasting. The experimental analysis finds the prediction accuracy of 97.45% and proves the efficient integration of big data analytics and cloud computing technologies.
Keyword:
Smart transportation
Big data analytics
Cloud computing
Traffic prediction
Machine learning
期刊
IF:
3
论文数:
1.9W
被引数:
3.2W
机构
引用论文
The Role of 5G Technologies in a Smart City: The Case for Intelligent Transportation System5g技术在智慧城市中的作用: 以智能交通系统为例.png)
SUSTAINABILITY
OAAI
SUSTAINABILITYIF3.3
OAAI分享收藏A Novel Method for Treatment of Abdominal Aortic Aneurysms Using Percutaneous Implantation of a Newly Designed Endovascular DeviceCirculation
CirculationIF0
PREAI
分享收藏Granular encapsulation of light hydrophobic liquids (LHL) in LHL-salt water systems: Particle induced densification with quartz sandChemosphere
ChemosphereIF0
PREAI
分享收藏Modification of the Sandia National Laboratories/California advanced coordinate measuring machine for high speed scanning美国能源部桑迪亚国家实验室/加利福尼亚州的高级坐标测量机的改进，以实现高速扫描
OAAI
IF0
OAAI分享收藏
查看更多内容