复杂路网的自适应D⁃S证据理论地图匹配算法

doi:10.13229/j.cnki.jdxbgxb20191044

吉林大学学报(工学版) ›› 2021, Vol. 51 ›› Issue (2): 524-530.doi: 10.13229/j.cnki.jdxbgxb20191044

• 交通运输工程·土木工程 • 上一篇

复杂路网的自适应D⁃S证据理论地图匹配算法

滕志军^1,²(),张宇²,李昊天²,孙铭阳³

^1.现代电力系统仿真控制与绿色电能新技术教育部重点实验室（东北电力大学），吉林省吉林市 132012
^2.东北电力大学电气工程学院，吉林省吉林市 132012
^3.东北电力大学自动化工程学院，吉林省吉林市 132012

收稿日期:2019-11-13 出版日期:2021-03-01 发布日期:2021-02-09
作者简介:滕志军(1973-)，男，教授，博士.研究方向：无线通信技术.E-mail:tengzhijun@163.com
基金资助:
国家自然科学基金青年科学基金项目(61501107);吉林省教育厅“十三五”科学研究规划项目(JJKH20180439KJ)

Adaptive D⁃S evidence theory map matching algorithm of complex road network

Zhi-jun TENG^1,²(),Yu ZHANG²,Hao-tian LI²,Ming-yang SUN³

^1.Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology，Ministry of Education （Northeast Electric Power University），Jilin 132012，China
^2.School of Electrical Engineering，Northeast Electric Power University，Jilin 132012，China
^3.School of Automation Engineering，Northeast Electric Power University，Jilin 132012，China

Received:2019-11-13 Online:2021-03-01 Published:2021-02-09

摘要/Abstract

摘要：

针对传统D-S证据理论地图匹配算法在面对城市密集路网时匹配点易出现波动、准确率下降等问题，提出一种改进的基于D-S证据理论的动态匹配算法，完善了传统D-S证据理论中的候选路段概率公式，可针对不同道路类型自适应调整其权重参数。仿真实验表明：改进后算法的定位点匹配准确率较其他算法提高2%左右，单点匹配时间可减少0.5 ms左右，能高效快捷实现复杂城市路网的定位点精准匹配。

关键词: 公路运输, 城市路网, D-S证据理论, 地图匹配, 全球定位系统

Abstract:

Aiming at the problems of fluctuations and low accuracy rate of traditional D-S evidence theory map matching algorithm in dealing with the urban dense road network， this paper proposes an improved dynamic matching algorithm based on D-S evidence theory. Using this algorithm， the candidate segment probability formula in the traditional D-S evidence theory is improved， and its weight parameters are adaptively adjusted for different road types. Simulation experiments show that the matching accuracy and matching time of the proposed algorithm are improved. The matching accuracy can be improved by about 2% compared with other algorithms， and the single-point matching time can be reduced by about 0.5 ms， which can efficiently and quickly realize the accurate matching of the positioning points of complex urban road networks.

Key words: highway transport, urban road network, D-S evidence theory, map matching, global position system

中图分类号:

P208

滕志军,张宇,李昊天,孙铭阳. 复杂路网的自适应D⁃S证据理论地图匹配算法[J]. 吉林大学学报(工学版), 2021, 51(2): 524-530.

Zhi-jun TENG,Yu ZHANG,Hao-tian LI,Ming-yang SUN. Adaptive D⁃S evidence theory map matching algorithm of complex road network[J]. Journal of Jilin University(Engineering and Technology Edition), 2021, 51(2): 524-530.

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复杂路网的自适应D⁃S证据理论地图匹配算法

Adaptive D⁃S evidence theory map matching algorithm of complex road network

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