【摘要】 优质的交通数据是进一步进行数据分析、支撑智能交通各项应用的基础,保证交通数据的完整性和有效性是首要条件。采用认知评价理论,设计了交通采集数据完整性与有效性多属性综合评价指标体系,同时基于计算机模拟仿真技术,开发了以时空流量守恒定律为机理的非直观错误数据判定模型。以某城市快速路交通采集数据为对象进行实例分析,确定了无效数据的量化结果及时空位置。该方法具有很好的应用效果,可以有效识别并筛选无效数据,为数据的管理和应用提供了可靠的基础。更多还原

【Abstract】 High-quality traffic data is the basis for further analysis which supporting applications of intelligent transportation.It is a prerequisite to ensure the integrity and validity of the traffic data.According to a cognitive evaluation theory,this study develops a multi-attribute comprehensive index system to evaluate the integrity and validity of traffic data collected from urban expressways.Based on computer simulation technology,a discriminate model is developed to identify non-intuitive error data based on the law of conservation of spatio-temporal traffic flows.Traffic data collected from a city expressway is used as a case study.The quantitative results and spatio-temporal positions of invalid data are determined.The method can be applied to actual situations,which can effectively identify and filter invalid data,providing a reliable foundation for data management and application.更多还原