Trajectory Segmentation Map-Matching Approach for Large-Scale, High-Resolution GPS Data
نویسندگان
چکیده
منابع مشابه
Map-matching of GPS traces on high-resolution navigation networks using the Multiple Hypothesis Technique (MHT)
In recent years, data from GPS-based surveys has become increasingly important since transport modellers benefit from more accurate and reliable information about times, geographic locations, and routes. At the same time, participants’ burden is reduced substantially if the GPS data collection does not involve time-consuming questions to derive additional information. However, without responden...
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Data We have a large number (~2,000,000) of data points obtained from a GPS tracking software called CoPilot Live, available from ALK Technologies. The data are sampled from participating users’ devices at 3-second intervals. Each ID represents a trip made by a certain user. There are about 1300 users, scattered around the United States. The average user’s recorded travel time is about 90 minut...
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The logging of GPS data is quickly becoming an important source of data for travel behavior researchers. Post-processing these data requires to match the GPS data stream to the coded map of the transportation network. The output of the map-matching process is the identification of the routes that were actually taken. This paper presents an innovative map-matching algorithm that relies only on t...
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Clustering algorithm for the moving or trajectory data provides new and helpful information. It has wide application on various location aware services. In this study the Self Organizing Map is used to form the cluster on trajectory data. The self-organizing map (SOM) is an important tool in exploratory phase of data mining. It projects input space on prototypes of a low-dimensional regular gri...
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ژورنال
عنوان ژورنال: Transportation Research Record: Journal of the Transportation Research Board
سال: 2017
ISSN: 0361-1981,2169-4052
DOI: 10.3141/2645-08