An improved hidden Markov model-based map matching algorithm considering candidate point grouping and trajectory connectivity-Reference-Cited by-同舟云学术

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An improved hidden Markov model-based map matching algorithm considering candidate point grouping and trajectory connectivity

Published:2022-11-17 Issue: Volume: Page:1-20
ISSN:1523-0406
Container-title:Cartography and Geographic Information Science
language:en
Short-container-title:Cartography and Geographic Information Science

Author:

Li Bozhao¹^ORCID,Cai Zhongliang¹^ORCID,Kang Mengjun¹^ORCID,Su Shiliang¹²,Jiang Lili³,Ge Yong³,Niu Yanfen⁴

Affiliation:

1. School of Resource and Environmental Sciences, Wuhan University, China

2. Key Laboratory of Geographical Information Systems, Ministry of Education, Wuhan University, China

3. Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, China

4. Data Product Department, Beijing PalmGo Infotech Co,Ltd, China

Funder

National Key Research and Development Program of China

Publisher

Informa UK Limited

Subject

Management of Technology and Innovation,Geography, Planning and Development,Civil and Structural Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/15230406.2022.2135023

Reference27 articles.

1. Inference in Hidden Markov Models

2. An Enhanced Hidden Markov Map Matching Model for Floating Car Data

3. Hidden Markov map matching based on trajectory segmentation with heading homogeneity

4. The viterbi algorithm

5. Map matching for low-sampling-rate GPS trajectories by exploring real-time moving directions

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Detecting Turning Relationships and Time Restrictions of OSM Road Intersections from Crowdsourced Trajectories;ISPRS International Journal of Geo-Information;2023-09-06

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