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Map Matching for Urban High-Sampling-Frequency GPS Trajectories

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-319-07176-3_51openalex-snapshot
An Incremental Map-Matching Algorithm Based on Hidden Markov Model
inferredcites →https://doi.org/10.1007/s10291-003-0069-zopenalex-snapshot
A general map matching algorithm for transport telematics applications
inferredcites →https://doi.org/10.1007/s10586-017-0869-5openalex-snapshot
Research on parallelized real-time map matching algorithm for massive GPS data
inferredcites →https://doi.org/10.1007/s13369-017-2569-0openalex-snapshot
Advanced Topological Map Matching Algorithm Based on D–S Theory
inferredcites →https://doi.org/10.1016/j.compenvurbsys.2014.07.009openalex-snapshot
A critical review of real-time map-matching algorithms: Current issues and future directions
inferredcites →https://doi.org/10.1016/j.ins.2017.12.031openalex-snapshot
Map matching for low-sampling-rate GPS trajectories by exploring real-time moving directions
inferredcites →https://doi.org/10.1016/j.trc.2007.05.002openalex-snapshot
Current map-matching algorithms for transport applications: State-of-the art and future research directions
inferredcites →https://doi.org/10.1016/j.trc.2018.05.014openalex-snapshot
Likelihood-based offline map matching of GPS recordings using global trace information
inferredcites →https://doi.org/10.1016/j.trc.2018.12.009openalex-snapshot
A dynamic two-dimensional (D2D) weight-based map-matching algorithm
inferredcites →https://doi.org/10.1016/s0196-6774(03)00085-3openalex-snapshot
Matching planar maps
inferredcites →https://doi.org/10.1016/s0968-090x(00)00026-7openalex-snapshot
Some map matching algorithms for personal navigation assistants
inferredcites →https://doi.org/10.1080/03081060.2019.1622249openalex-snapshot
Map-matching poor-quality GPS data in urban environments: the pgMapMatch package
inferredcites →https://doi.org/10.1080/13658816.2017.1400548openalex-snapshot
Fast map matching, an algorithm integrating hidden Markov model with precomputation
inferredcites →https://doi.org/10.1080/15472450.2016.1166058openalex-snapshot
A weight-based map-matching algorithm for vehicle navigation in complex urban networks
inferredcites →https://doi.org/10.1109/itsc.2015.411openalex-snapshot
Fast Hidden Markov Model Map-Matching for Sparse and Noisy Trajectories
inferredcites →https://doi.org/10.1109/mdm.2010.14openalex-snapshot
An Interactive-Voting Based Map Matching Algorithm
inferredcites →https://doi.org/10.1109/tits.2016.2591958openalex-snapshot
Accurate Real-time Map Matching for Challenging Environments
inferredcites →https://doi.org/10.1109/tits.2017.2647967openalex-snapshot
Online Map-Matching of Noisy and Sparse Location Data With Hidden Markov and Route Choice Models
inferredcites →https://doi.org/10.1109/tkde.2016.2617326openalex-snapshot
IF-Matching: Towards Accurate Map-Matching with Information Fusion
inferredcites →https://doi.org/10.1145/1653771.1653818openalex-snapshot
Hidden Markov map matching through noise and sparseness
inferredcites →https://doi.org/10.1145/1653771.1653820openalex-snapshot
Map-matching for low-sampling-rate GPS trajectories
inferredcites →https://doi.org/10.1145/1869790.1869807openalex-snapshot
T-drive
inferredcites →https://doi.org/10.1145/2020408.2020462openalex-snapshot
Driving with knowledge from the physical world
inferredcites →https://doi.org/10.1145/3046945openalex-snapshot
Real-Time Large-Scale Map Matching Using Mobile Phone Data
inferredcites →https://doi.org/10.1145/3274895.3274919openalex-snapshot
A force-directed approach for offline GPS trajectory map matching
inferredcites →https://doi.org/10.1371/journal.pone.0216476openalex-snapshot
Map-matching algorithm based on the junction decision domain and the hidden Markov model
inferredcites →https://doi.org/10.3141/2645-08openalex-snapshot
Trajectory Segmentation Map-Matching Approach for Large-Scale, High-Resolution GPS Data
inferredcites →https://doi.org/10.3390/s16081302openalex-snapshot
Conditional Random Field-Based Offline Map Matching for Indoor Environments

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4677768openalex-extracted
inferred← citeshttps://doi.org/10.1007/978-3-030-79463-7_39openalex-snapshot
Map-Matching Based on HMM for Urban Traffic
inferred← citeshttps://doi.org/10.1016/j.jag.2024.103988openalex-snapshot
Enhancing Map Matching Accuracy Using Backtracking Technique
inferred← citeshttps://doi.org/10.1080/15472450.2022.2086805openalex-snapshot
Glocal map-matching algorithm for high-frequency and large-scale GPS data
inferred← citeshttps://doi.org/10.1109/icdcece60827.2024.10548606openalex-snapshot
Trajectory Map Matching Methods Based on Stream Computing and Mutual Voting
inferred← citeshttps://doi.org/10.1109/msn63567.2024.00145openalex-snapshot
TPRGraphMM: Graph-Based Vehicle Map Matching by Travel Pattern Recognition
inferred← citeshttps://doi.org/10.1109/tits.2022.3155689openalex-snapshot
High-Frequency Trajectory Map Matching Algorithm Based on Road Network Topology
inferred← citeshttps://doi.org/10.1109/tits.2023.3281418openalex-snapshot
A Path Increment Map Matching Method for High-Frequency Trajectory
inferred← citeshttps://doi.org/10.1109/tits.2026.3691818openalex-snapshot
A Real-Time Adaptive Map Matching Algorithm for Diverse Road Scenarios
inferred← citeshttps://doi.org/10.1145/3475723.3484249openalex-snapshot
Using Feature Interaction among GPS Data for Road Intersection Detection
inferred← citeshttps://doi.org/10.3233/jifs-212417openalex-snapshot
A trajectory map matching algorithm via exploring the average directional features of continuous windows
inferred← citeshttps://doi.org/10.3390/a16060286openalex-snapshot
Developing Prediction Model of Travel Times of the Logistics Fleets of Large Convenience Store Chains Using Machine Learning
inferred← citeshttps://doi.org/10.3390/ijgi10020079openalex-snapshot
Development of Multilayer-Based Map Matching to Enhance Performance in Large Truck Fleet Dispatching
inferred← citeshttps://doi.org/10.3390/ijgi13010003openalex-snapshot
An Improved BLG Tree for Trajectory Compression with Constraints of Road Networks
inferred← citeshttps://doi.org/10.3390/su132212820openalex-snapshot
Map-Matching Using Hidden Markov Model and Path Choice Preferences under Sparse Trajectory
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