摘要
提出了一种在移动交通检测系统中确定路网浮动车最小样本数量的优化方法。首先,基于数理统计方法分析了单条路段满足交通流参数估计所需的最小样本数量,在此基础上使用了一种新的基于路段样本数符合率的路网交通信息准确度评价指标,通过该指标和路网样本规模的关系曲线优化路网的浮动车样本规模。仿真实验结果表明:该方法能有效地确定满足路网交通速度估计要求下的最小浮动车样本数量,为浮动车交通信息采集系统在实际应用中确定最小样本规模提供了一种可行的思路。
An optimization method for the minimum probe vehicles sample size of urban road network in mobile traffic detection system was proposed. A mathematical statistical method was used to compute the minimum probe vehicles sample size on one segmental road, and the consistent rate of road＇s minimum probe vehicles number was used to evaluate the equality of traffic information. Then a simulation method was used to optimize probe vehicles scale of urban road network. The proposed method provides a feasible scheme to set the minimum probe vehicles in road network for actual traffic information collection system. The simulation results conducted on the city of Ningbo show the effectivity and reliability of the proposed methods.
出处
《系统仿真学报》
CAS
CSCD
北大核心
2009年第16期5227-5230,共4页
Journal of System Simulation
基金
国家973项目(2006CB303000)
宁波自然科学基金项目(2007A610042)
关键词
智能交通系统
移动交通检测系统
数理统计方法
浮动车
样本数量
intelligent transportation system
mobile traffic detection system
mathematical statistical method
probe vehicles
sample size
