基于多源浮动车数据融合的道路交通运行评估

Road Traffic Operation Assessment Based on Multi-source Floating Car Data Fusion

针对当前出租车浮动车数据覆盖范围和数据质量不足的问题,在现有数据特征分析的基础上引入百度手机导航和公交车浮动车导航数据,面向道路运行评估和拥堵管理提出了基于出行时间的交通运行指数算法和一种基于出租车、百度、公交车多源浮动车数据融合的道路交通运行评估方法,构建了多源数据融合规则和融合算法.以深圳为例进行了融合效果分析,结果表明所提出的多源数据融合方法效果显著,很大程度上提高了融合结果精度、数据覆盖率、数据可靠性和数据样本量,最后提出了主要应用方向和初步应用效果,能够为国内外城市开展交通运行评估工作提供借鉴.

Facing with the current taxi floating car data insufficient coverage and data quality issues, Baidu mobile navigation and bus GPS data is introduced based on the analysis of available data characteristics, Traffic Performance Index algorithm based on travel time and one method of road traffic operation evaluation based on Taxi, Baidu, Bus, multisource floating car data（FCD） fusion is proposed to conduct the road traffic performance assessment and congestion management. Multi-source data fusion rules and a fusion algorithm are constructed. Take Shenzhen as an example, the results show that the multi-source data fusion method proposed in this paper has a significant effect, which greatly improves the accuracy of fusion results, data coverage, data reliability and data sample size. Finally, the main application direction and preliminary application effect are put forward. The method proposed in this paper can provide reference for domestic and foreign cities to carry out traffic operation assessment.