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Nowadays, for the estimation of traffic demand or people flow, modelling route choice activity in road networks is an important task\udand many algorithms have been developed to generate route choice sets. However, developing an algorithm based on a small amount\udof data that can be applied generally within a metropolitan area is difficult. This is because the characteristics of road networks vary\udwidely.\ud  \udOn the other hand, recently, the collection of people movement data has lately become much easier, especially through mobile\udphones. Lately, most mobile phones include GPS functionality. Given this background, we propose a data-oriented algorithm to\udgenerate route choice sets using mobile phone GPS data. GPS data contain a number of measurement errors; hence, they must be\udadjusted to account for these errors before use in advanced people movement analysis. However, this is time-consuming and\udexpensive, because an enormous amount of daily data can be obtained. Hence, the objective of this study is to develop an algorithm\udthat can easily manage GPS data.\ud  \udSpecifically, at first movement data from all GPS data are selected by calculating the speed. Next, the nearest roads in the road\udnetwork are selected from the GPS location and count such data for each road. Then An algorithm based on the GSP (Gateway\udShortest Path) algorithm is proposed, which searches the shortest path through a given gateway. In the proposed algorithm, the road\udfor which the utilization volume calculated by GPS data is large is selected as the gateway. Thus, route choice sets that are based on\udtrends in real GPS data are generated.\ud  \udTo evaluate the proposed method, GPS data from 0.7 million people a year in Japan and DRM (Digital Road Map) as the road\udnetwork are used. DRM is one of the most detailed road networks in Japan. Route choice sets using the proposed algorithm are\udgenerated and the cover rate of the utilization volume of each road under evaluation is calculated. As a result, the proposed route\udgeneration algorithm and GPS data cleaning process work well and a huge variety of routes that have high potential to be used in the\udreal world can be generated

DATA-ORIENTED ALGORITHM FOR ROUTE CHOICE SET GENERATION IN A METROPOLITAN AREA WITH MOBILE PHONE GPS DATA