首页 | 本学科首页   官方微博 | 高级检索  
     检索      

基于模糊综合评判的智能行程时间预测算法
引用本文:李庆奎,吕志平,葛智杰.基于模糊综合评判的智能行程时间预测算法[J].华东交通大学学报,2012(2):6-9.
作者姓名:李庆奎  吕志平  葛智杰
作者单位:信息工程大学测绘学院;解放军66011部队;海军出版社
基金项目:国家863计划资助项目(2009AA12Z305);国家自然科学基金项目(40874008)
摘    要:提出一种智能行程时间预测算法。算法基于交通流量和占有率等实时交通信息,用模糊综合评判的方法实现对行程时间的预测。其核心是由交通流量和占有率构成因素集,把行程时间看成由因素集组成的评判集,通过因素集的隶属度函数确定模糊评判矩阵,从而求出行程时间的定量值。算例验证了算法的预测精度高,拟合程度好,具有一定的可行性。

关 键 词:行程时间预测  模糊综合评判  隶属度函数

Intelligent Travel Time Prediction Algorithm Based on Fuzzy Comprehensive Judgment
Li Qingkui,Lu Zhiping,Ge Zhijie.Intelligent Travel Time Prediction Algorithm Based on Fuzzy Comprehensive Judgment[J].Journal of East China Jiaotong University,2012(2):6-9.
Authors:Li Qingkui  Lu Zhiping  Ge Zhijie
Institution:3(School of Surveying and Mapping,Information Engineering University,Zhengzhou 450052,China;2.66011 Troops of Liberation Army,Beijing 102600,China;3.Navy Press,Tianjin 300450,China)
Abstract:An intelligent travel time prediction algorithm is put forward.Algorithm is based on real-time traffic such as traffic volume and occupancy rate information,the fuzzy comprehensive evaluation for travel time prediction.The core is a judging set composed of the traffic volume and occupancy rate constitute factors set,the travel time.Through the factors set membership functions of fuzzy judgment matrix,the travel time quantitative values are determined.The algorithm is verified with high forecast precision,good fitting degree,and good feasibility.
Keywords:travel time prediction  fuzzy comprehensive judgment  membership function
本文献已被 CNKI 维普 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号