测试科学与仪器2020，Vol.11Issue(4)：351-357,7.DOI:10.3969/j.issn.1674-8042.2020.04.006
基于隐马尔可夫模型的最优交通路径模式识别
Pattern recognition of optimal traffic path based on HMM
摘要
Abstract
In order to alleviate urban traffic congestion and provide fast vehicle paths,a hidden Markov model (HMM)based on multi-feature data of urban regional roads is constructed to solve the problems of low recognition rate and poor instability of traditional model algorithms.At first,the HHM is obtained by training.Then according to dynamic planning principle,the traffic states of intersections are obtained by the Viterbi algorithm.Finally,the optimal path is selected based on the obtained traffic states of intersections.The experiment results show that the proposed method is superior to other algorithms in road unobstruction rate and recognition rate under complex road conditions.关键词
隐马尔可夫模型/维特比算法/交通拥堵/最优路径Key words
hidden Markov model (HMM)/Viterbi algorithm/traffic congestion/optimal path分类
信息技术与安全科学引用本文复制引用
赵庶旭,伍宏伟,刘昌荣..基于隐马尔可夫模型的最优交通路径模式识别[J].测试科学与仪器,2020,11(4):351-357,7.基金项目
Natural Science Foundation of Gansu Provincial Science&Technology Department(No.1504GKCA018) （No.1504GKCA018）
