In many Intelligent Transportation System (ITS) applications that crowd-source data from probe vehicles, a crucial step is to accurately map the GPS trajectories to the road network in real time. This process, known as map-matching, often needs to account for noise and sparseness of the data because (1) highly precise GPS traces are rarely available, and (2) dense trajectories are costly for live transmission and storage.
Online map-matching based on Hidden Markov model for real-time traffic sensing applications
2012-09-01
647305 byte
Conference paper
Electronic Resource
English
Online map-matching based on Hidden Markov model for real-time traffic sensing applications
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