Post-processing GPS-tracks in reconstructing travelled routes in a GIS-environment: network subset selection and attribute adjustment
| Autor: | Tom de Jong, Justin van Dijk |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Demand management
050210 logistics & transportation Geographic information system Process (engineering) business.industry 05 social sciences 0211 other engineering and technologies 021107 urban & regional planning 02 engineering and technology Track (rail transport) Machine learning computer.software_genre Individual level Computer Science Applications Data set Geography 0502 economics and business Global Positioning System General Earth and Planetary Sciences Artificial intelligence Data mining business computer Selection (genetic algorithm) |
| Zdroj: | Annals of GIS. 23:203-217 |
| ISSN: | 1947-5691 1947-5683 |
| Popis: | The exact distance and routes travelled on an individual level are essential variables in determining the effectiveness of ‘soft’ transport demand management strategies. The ability to track individuals in great spatial detail by means of Location Aware Technologies such as GPS has opened avenues for gathering these data with great precision. Route reconstruction with positional data is typically done by a process referred to as map-matching; however, despite the large number of real-time map-matching algorithms developed, few studies have developed a post-processing map-matching algorithm in a Geographic Information Systems (GIS)-environment. This paper presents two GIS-based map-matching methods that predominantly use a digital road network with speed and directionality attributes for route reconstruction of raw GPS-trajectories. The methodologies were tested for a data set in which actual routes travelled were known. Both explored procedures, the ‘Connected Subset’ assignment procedure based on... |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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