作者: Kay W Axhausen , Stefan Schönfelder , Marcelo Oliveira , Jean Wolf , Ute Samaga
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摘要: The recent Swedish Intelligent Speed Adaptation (ISA) study included a component that involved the installation of GPS-based units in hundreds cars three cities (Borlange, Lund and Lidkoping) observed these vehicles for up to two years. In Borlange, speed location data each vehicle were transmitted at regular intervals central server stored later analysis. This dataset contains wealth travel behavior information that, date, has never been available. However, this magnitude introduces major need automated processes can glean details out trip summary GPS point files collected such large scale study. paper presents characteristics issues with Borlange dataset, which includes 186 personal have least 30 days corresponding household socio-demographic data. (These recorded 49,667 240,435 trips inside area.) then methodologies imputing purpose once destinations are identified, as well correcting traces identifying missing (or ends) within trips. Results subset ISA included.