Copyright © 2006 SAE International Map matching determines which road a vehicle is on based on inaccurate measured locations, such as GPS points. Simple algorithms, such as nearest road matching, fail often. We introduce a new algorithm that finds a sequence of road segments which simultaneously match the measured locations and which are traversable in the time intervals associated with the measurements. The time constraint, implemented with a hidden Markov model, greatly reduces the errors made by nearest road matching. We trained and tested the new algorithm on data taken from a large pool of real drivers
With the advance of various location-acquisition technologies, a myriad of GPS trajectories can be c...
© 2016 IEEE. With the advance of various location-acquisition technologies, a myriad of GPS trajecto...
Location-aware devices can be used to record the positions of moving objects for further spatio-temp...
Map matching can provide useful traffic information by aligning the observed trajectories of vehicle...
Modern mobile technology has enabled the collection of large scale vehicle trajectories using GPS de...
In this thesis the Hidden Markov Model (HMM) is used in the process of map matching to investigate t...
In this thesis the Hidden Markov Model (HMM) is used in the process of map matching to investigate t...
In this thesis the Hidden Markov Model (HMM) is used in the process of map matching to investigate t...
Numerous map-matching techniques have been developed to improve positioning, using Global Positionin...
Numerous map-matching techniques have been developed to improve positioning, using Global Positionin...
Map-matching technology is a key and difficult technology in the development of vehicle navigation s...
Precise position information of moving entities on digital road networks is a vital requirement of l...
In many Intelligent Transportation System (ITS) applications that crowd-source data from probe vehic...
© 2017 IEEE. With the advance of various location-Acquisition technologies, a myriad of GPS trajecto...
In many Intelligent Transportation System (ITS) applications that crowd-source data from probe vehic...
With the advance of various location-acquisition technologies, a myriad of GPS trajectories can be c...
© 2016 IEEE. With the advance of various location-acquisition technologies, a myriad of GPS trajecto...
Location-aware devices can be used to record the positions of moving objects for further spatio-temp...
Map matching can provide useful traffic information by aligning the observed trajectories of vehicle...
Modern mobile technology has enabled the collection of large scale vehicle trajectories using GPS de...
In this thesis the Hidden Markov Model (HMM) is used in the process of map matching to investigate t...
In this thesis the Hidden Markov Model (HMM) is used in the process of map matching to investigate t...
In this thesis the Hidden Markov Model (HMM) is used in the process of map matching to investigate t...
Numerous map-matching techniques have been developed to improve positioning, using Global Positionin...
Numerous map-matching techniques have been developed to improve positioning, using Global Positionin...
Map-matching technology is a key and difficult technology in the development of vehicle navigation s...
Precise position information of moving entities on digital road networks is a vital requirement of l...
In many Intelligent Transportation System (ITS) applications that crowd-source data from probe vehic...
© 2017 IEEE. With the advance of various location-Acquisition technologies, a myriad of GPS trajecto...
In many Intelligent Transportation System (ITS) applications that crowd-source data from probe vehic...
With the advance of various location-acquisition technologies, a myriad of GPS trajectories can be c...
© 2016 IEEE. With the advance of various location-acquisition technologies, a myriad of GPS trajecto...
Location-aware devices can be used to record the positions of moving objects for further spatio-temp...