Map matching imprecise trajectories for smart mobility applications

Jagadeesh, George Rosario

doi:10.32657/10220/47724

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“…To estimate the absolute positions and travelling routes of vehicles from GPS measurements, map matching algorithms are proposed. According to [39], the basic form of map matching is the process of assigning the measured position of a vehicle to the position on a digital road map. In this thesis, the vehicle localization belongs to this form of map matching.…”

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confidence: 99%

Map matching algorithms for intelligent transportation system

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The contributions of the co-authors are as follows:• Prof. Cai provided the initial project direction.• I conducted literature review, proposed the map matching algorithm, designed and conducted all the experiments, and analyzed and interpreted experimental results with guidance of Prof. Cai and Prof. Luo. • I wrote the manuscript drafts. The manuscript was revised by Prof. Luo, Prof. Cai and Dr. Hanai.

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Section: Motivation and Backgroundmentioning

confidence: 99%

Map matching algorithms for intelligent transportation system

Hou¹

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Map matching imprecise trajectories for smart mobility applications

Cited by 1 publication

References 101 publications

Map matching algorithms for intelligent transportation system

Map matching algorithms for intelligent transportation system

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