基于车联网大数据的交通路况预测研究

Research on Traffic Condition Forecast Based on Car Network Big Data

为了减少交通路况拥挤,文章提出了一种基于车联网大数据的交通路况预测方案。新方案介绍交通拥挤现状和现有的解决方案,分析交通路况预测的关键技术,设计一种基于车联网大数据的交通路况预测系统,阐述新系统的体系结构和通信架构。最后,通过系统应用证明新方案不仅减少了城市交通拥堵次数和时间,还提高了出行效率。

In order to reduce traffic congestion,a traffic condition forecasting method based on car network big data is proposed by this paper.The new scheme introduces the current situation of traffic congestion and the existing solutions,and analyzes the key technologies of traffic condition forecast,designs a traffic condition prediction system based on the big data of the vehicle network,and describes the system architecture and communication architecture of the new system.Finally,the new scheme is proved by the application of the system can not only reduce the number and time of traffic congestion,but also improve the trip efficiency.