Zobrazeno 1 - 10
of 3 208
pro vyhledávání: '"map matching"'
Publikováno v:
IET Intelligent Transport Systems, Vol 18, Iss 11, Pp 2178-2203 (2024)
Abstract To promote urban sustainability, many cities are adopting bicycle‐friendly policies, leveraging GPS trajectories as a vital data source. However, the inherent errors in GPS data necessitate a critical preprocessing step known as map‐matc
Externí odkaz:
https://doaj.org/article/df0d5ebf8b8f4c62a7a2254850131199
Publikováno v:
International Journal of Digital Earth, Vol 17, Iss 1 (2024)
ABSTRACTAiming at the inherent “labeling bias” problem of Hidden Markov Models (HMMs) in the process of low-frequency sampling rate GPS trajectory map matching, this paper proposes a map matching method that combines HMMs and Conditional Random F
Externí odkaz:
https://doaj.org/article/3f5280f62df646678ea47ef938f14761
Autor:
Hussein Alkhazraji, Triantafyllos Kanakis, Ali Al-Sherbaz, Wesam Sameer Bhaya, Michael Opoku Agyeman
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 132, Iss , Pp 103988- (2024)
Map matching integrates positioning data with road network information to accurately identify a vehicle exact location on a specific road. Modern location-based services heavily rely on accurate map matching techniques to match observed trajectories
Externí odkaz:
https://doaj.org/article/c810c82c8eb946acb313867cec1b57e2
Publikováno v:
IEEE Access, Vol 12, Pp 84537-84547 (2024)
In this article, we introduce a positioning system developed for two- and three-dimensional motion tracking. The system is based on a recursive Bayesian estimator with a dynamic naive Bayesian classifier map matching scheme. The states of the dynamic
Externí odkaz:
https://doaj.org/article/784a2adef469467b99445f9f28e93b74
Akademický článek
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Publikováno v:
Symmetry, Vol 16, Iss 6, p 683 (2024)
This study addresses the challenges of setting segmentation points in the membership function and determining appropriate weights for different types of information within a fuzzy logic algorithm for map matching. We use linear fitting to derive an e
Externí odkaz:
https://doaj.org/article/bf8ecfdfd7a84ccca4f733c1f9860100
Publikováno v:
Remote Sensing, Vol 16, Iss 11, p 2035 (2024)
The algorithm proposed in this paper aims at solving the problem of star map matching in high-limiting-magnitude astronomical images, which is inspired by geometric voting star identification techniques. It is a two-step star map matching algorithm r
Externí odkaz:
https://doaj.org/article/9c24d48e9fbe484c9e4d01ddc05aa85f
Publikováno v:
IET Intelligent Transport Systems, Vol 17, Iss 6, Pp 1087-1103 (2023)
Abstract Urban vehicle trajectory prediction positively alleviates traffic congestion, avoids traffic accidents, and optimizes the urban transportation system. Since taxi trajectories are influenced by the driving intention, it is significant to cons
Externí odkaz:
https://doaj.org/article/da0c5e35d1bd46798e24b519a2423cf4
Akademický článek
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Autor:
Ha Yoon Song, Jae Ho Lee
Publikováno v:
Heliyon, Vol 9, Iss 11, Pp e21368- (2023)
With the advancement of geopositioning systems and mobile devices, much research with geopositioning data are currently ongoing. Along with the research applications, map matching is a technology that infers the actual position of error-prone traject
Externí odkaz:
https://doaj.org/article/2a3d88cd4ff44136a1be7693107076d6