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作 者:毛海臻 毛华 MAO Haizhen;MAO Hua(Henan Communications Planning&Design Institute Co.,Ltd,Zhengzhou 450000,China;Hebi Qibin District Transportation Bureau,Hebi 458030,China)
机构地区:[1]河南省交通规划设计研究院股份有限公司,河南郑州450000 [2]鹤壁市淇滨区交通运输局,河南鹤壁458030
出 处:《河南科技》2022年第11期22-25,共4页Henan Science and Technology
摘 要:为了提升农村地区车辆轨迹与县乡路网的匹配精度,解决车辆行驶轨迹飘移、点位跳跃等问题,本研究基于隐形马尔可夫理论,通过划分农村公路网格,计算观测概率与转移概率乘积的最大值,然后通过编程建模筛选出最佳候选路线,实现车辆轨迹与农村路网的在线匹配。笔者选取平顶山市宝丰县某农村公路为研究对象,现场验证了该算法的可行性和有效性。试验结果表明:该算法能够提升农村公路车辆轨迹的匹配精度,在路线十字、T形交叉及平曲线中点等区域的轨迹匹配精度提升效果明显。In order to improve the matching accuracy between vehicle trajectory and county and township road network in rural areas,and solve the problems of vehicle trajectory drift,point jumping and so on.With the help of hidden Markov theory,this paper divides the rural road grid,calculates the maximum product of observation probability and transfer probability,selects the best candidate route through programming modeling,and realizes the online matching between vehicle trajectory and rural road network.A rural highway in Baofeng County,Pingdingshan City is selected as the experimental object to verify the feasibility and effectiveness of the algorithm.The results show that the algorithm can improve the track matching accuracy of rural road vehicles.In the areas of route cross,T-shaped cross and the midpoint of horizontal curve,the track matching accuracy is obviously improved.
分 类 号:U418.6[交通运输工程—道路与铁道工程]
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