Online map-matching of noisy and sparse location data with hidden Markov and route choice models

With the growing use of crowdsourced location data from smartphones for transportation applications, the task of map-matching raw location sequence data to travel paths in the road network becomes more important. High-frequency sampling of smartphone locations using accurate but power-hungry positio...

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Bibliographic Details
Main Authors: Jagadeesh, George Rosario, Srikanthan, Thambipillai
Other Authors: School of Computer Science and Engineering
Format: Article
Language:English
Published: 2020
Subjects:
Online Access:https://hdl.handle.net/10356/145629
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Institution: Nanyang Technological University
Language: English
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