Xiangting Hou
Abstract
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Map matching algorithms for route inference and vehicle localization are essential for Intelligent Transportation System (ITS) applications to reduce traffic congestion and accidents. Currently, the Global Positioning System (GPS) is widely used to obtain the absolute positions of vehicles. When the GPS has high measurement
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Map matching algorithms for route inference and vehicle localization are essential for Intelligent Transportation System (ITS) applications to reduce traffic congestion and accidents. Currently, the Global Positioning System (GPS) is widely used to obtain the absolute positions of vehicles. When the GPS has high measurement
Key concepts: Map matching, Global Positioning System, Intelligent transportation system, Matching (statistics), Computer science, Inference, Real-time computing, Algorithm