Hi, I would like to introduce myself. My name is Lukas Kabrt and I am student at the Czech technical university in Prague. I am maping for about a year and I'm really enjoying it. Over the past few months I participated in import of administrative boundaries and in import of address points in the Czech republic. These two projects gave me a lot of experience with handling OSM data.
I would like to use the knowledge in the field of artificial intelligence I gained during my studies and apply them in the world of OSM. I read through the wiki article GSoC Project Ideas 2010 and I like the Travel Time Analysis project [1]. I think this project has a great potentioal. As far as I know, routing algorithms estimate travel time by using speed limits or curvature of the roads. Using GPS traces from real vehicles will allow more accurate estimation of travel time, becouse it will take into accout other factors (traffic, condition of the road). With enought data available it should be even possible to detect rush hours or different traffic patterns through the week (weekdays vs. weekend) and give the appropriate travel time estimations. IMO the biggest challange would be to develop an algorithm which will match GPX traces to OSM roads. The algorithm has to deal with noisy GPS tracks, not-everywhere-accurate OSM map and it would be nice if it can handle low-frequency GPS tracks (e.g. 1point / min). Within the scope of GSoC '10 I'd like to create application, which will take an OSM file and bunch of GPS traces, analyze them, try to recognize traffic patterns and create the output file with estimated travel times for road segments (something like last year's Preprocessor to add altitude information to OSM data). If it prooves well it can be extended further. [1] http://wiki.openstreetmap.org/wiki/GSoC_Project_Ideas_2010#Travel_Time_Analysis -- Lukas Kabrt _______________________________________________ dev mailing list dev@openstreetmap.org http://lists.openstreetmap.org/listinfo/dev
