Online map-matching based on Hidden Markov model for real-time traffic sensing applications

Online map-matching based on Hidden Markov model for real-time traffic sensing applications

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...

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Bibliographic Details
Main Authors: Goh, C. Y. (Author), Dauwels, Justin H. G. (Author), Mitrovic, Nikola (Author), Asif, Muhammad Tayyab (Author), Oran, Ali (Author), Jaillet, Patrick (Contributor)
Other Authors: Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor), Massachusetts Institute of Technology. Laboratory for Information and Decision Systems (Contributor), Massachusetts Institute of Technology. Operations Research Center (Contributor)
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers (IEEE), 2014-05-09T14:30:09Z.
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