实时交通数据的筛选与恢复研究

实时交通数据的质量非常重要,因此本文全面地分析影响交通特性参数精度的因素,总结实时处理交通数据的必要性;探讨交通管理系统中筛选实时交通数据的四种方法;提出目前常用交通数据检测方法中存在的问题,对比分析后提出解决方案;并对未来信息采集和数据管理提出建议;研究实时交通数据问题诊断和恢复方法,即数据限定法和统计相关法,最后通过沪宁高速公路实例验证其可行性与科学性。

REAL-TIME TRAFFIC DATA SCREENING AND RECONSTRUCTION

The quality of real-time traffic information is of the great importance, therefore the causes which affect the traffic characteristics are analyzed in the round, and the necessities of real-time data processing are summarized. Four methods for ITS(Intelligent transportation system)detector data screening in traffic management systems are discussed in detail. Simultaneously, the problems in traffic data examinations are put forward, the solutions are provided after analysis, and recommendations are given to information collection and data management in future. The problems identification and reconstruction of real-time traffic data are studied, viz. data qualification and statistical approach which is proved to be feasible and proper with an example of Huning Freeway.