摘要
在总结前人研究成果的基础上,提出了面向路网的GPS浮动车覆盖率宏观模型。该模型考虑了预测计算时间间隔、平均交通流密度、平均旅行速度、浮动车误匹配率等多种因素。仿真实验结果表明,利用该模型计算出的覆盖率能保证路网中93.7%的路段能采集到数据,获取的路段平均速度误差在±5.0 km/h范围内的占88%。对比分析结果表明,本文模型计算出的覆盖率更贴近实际情况,结果也相对稳定可靠。
A macroscopic model on coverage rate of GPS floating car for the road networks is proposed. This model considers many factors, such as the computing intervals, the average traffic flow densities, the average travel speeds, the mistake matching scores of floating car, and so on. The simulating results show that the coverage rate calculated by this model can ensure that 93.7% link of the road network has collecting data. In addition, the error of the link average speed occupies by 88% of road network in the scope of ±5.0 km/h. The analytical result indicates that the coverage rate calculated by this model is quite closer to the actual situation, and the calculated results are also stable and reliable.
出处
《武汉大学学报（信息科学版）》
EI
CSCD
北大核心
2009年第6期715-718,共4页
Geomatics and Information Science of Wuhan University
基金
国家自然科学基金重点资助项目(40830530)
国家自然科学基金资助项目(60872132)
国家教育部博士点专项基金资助项目(20070486001)
关键词
道路网
GPS
浮动车
覆盖率
仿真
road network
GPS
floating car
coverage rate
simulation
