摘要
当前,城市交通正面临着安全、堵塞、环境污染三大难题。随着云计算、物联网、移动互联网、大数据等新兴技术的发展,城市交通进入智能化阶段。而智能化实现需要利用各种技术获取有价值的数据资源,提供决策依据。交通大数据为交通决策与服务带来了新的解决思路和方法。
At present, the city is facing three major problems about traffic safety, congestion and environmental pollution. With the development of cloud computing, Internet of Things, mobile Internet, big data and other emerging technologies, urban traffic enters the intelligent stage. The implementation of intelligence requires using technologies to obtain valuable data resources, to provide basis for decision making. Traffic big data brings new ideas and methods to traffic services and decision.
出处
《软件导刊》
2016年第3期130-132,共3页
Software Guide
关键词
交通大数据
智能交通
数据挖掘
交通预测
数据可视化
Big Data Traffic
Intelligent Transportation
Data Mining
Prediction
Visualization