I'm only a user of the GPX logs, not responsible for anything on the server side, but this is fantastic news, and if you ask me, the more data, and the more complete, the better it is, even going as far as every vehicle sampling every second.<div>
<br></div><div>The main precedent I know for this is the Stamen/Yellow Cab/Exploratorium Cabspotting project in San Francisco, which doesn't obscure trip origins and destinations but does randomize the IDs of the cabs periodically so that what a cab driver does one day isn't tied to what the same driver does the next day, and only samples every minute so there is some inherent fuzz in the origins and destinations.</div>
<div><br></div><div>The Skobbler GPX dump (<a href="http://heatmap.skobbler.net/gpx_download.html">http://heatmap.skobbler.net/gpx_download.html</a>) appears to include only partial trips so that the origins and destinations of the trips aren't tied to each other but most of what happened in between is still linked.</div>
<div><br></div><div>The main applications I see are improving road alignment, turn restrictions, routing, speed, traffic volume, and origin-destination aggregation, so I would appreciate it if your filtering tries not to preclude any of these. Thanks again for planning to make this data public!</div>
<div><br></div><div>Eric</div><div><br></div><div><div class="gmail_quote">On Mon, Jun 24, 2013 at 11:12 AM, Jed Horne <span dir="ltr"><<a href="mailto:jed@uber.com" target="_blank">jed@uber.com</a>></span> wrote:<br>
<blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex"><div dir="ltr">I sent this to the imports list already and someone suggested I loop in dev. Any advice is welcome!<div>
<br></div><div>-Jed</div><div><br><div><br><div class="gmail_quote">---------- Forwarded message ----------<br>
From: <b class="gmail_sendername">Jed Horne</b> <span dir="ltr"><<a href="mailto:jed@uber.com" target="_blank">jed@uber.com</a>></span><br>Date: Thu, Jun 20, 2013 at 2:07 PM<br>Subject: GPX imports from Uber<br>To: <a href="mailto:imports@openstreetmap.org" target="_blank">imports@openstreetmap.org</a><br>
<br><br><div dir="ltr"><span style="font-family:arial,sans-serif;font-size:13px">Hi,</span><div style="font-family:arial,sans-serif;font-size:13px"><br></div><div style="font-family:arial,sans-serif;font-size:13px">my name is Jed Horne and I am a data scientist with Uber (<a href="http://uber.com/" target="_blank">http://uber.com</a>). My company makes an iPhone app that allows users to make on-demand requests for taxis, luxury sedans, and other vehicles. We currently operate in 25+ cities in the United States, Europe, Asia, and Australia.</div>
<div style="font-family:arial,sans-serif;font-size:13px"><br></div><div style="font-family:arial,sans-serif;font-size:13px">We have GPS traces going back about three years from our drivers, and I am interested in contributing back to the OSM community. I was planning on writing a script to anonymize and clean up our traces and export as GPX files (per instructions here <a href="http://wiki.openstreetmap.org/wiki/Recording_GPS_tracks" target="_blank">http://wiki.openstreetmap.org/wiki/Recording_GPS_tracks</a>). However, I am very new to OSM contributing and was wondering if there is a set of best practices (how much is too much data, how to snip trips for privacy, etc.) or if there is someone I could work with directly to ensure that the data I give you is both private (for us and our clients/drivers) and useful (to the community).</div>
<div style="font-family:arial,sans-serif;font-size:13px"><br></div><div style="font-family:arial,sans-serif;font-size:13px">Specifically, I'm interested in using these traces to identify where we might be missing small connector roads or other features that could improve the accuracy of routing built on OSRM. Another potential application would be to help identify areas of bad traffic or help improve speed profile information - I realize this isn't something currently supported by OSM but to the extent our data are useful for new or experimental features or data sets I'd like to know how to help out.</div>
<div style="font-family:arial,sans-serif;font-size:13px"><br></div><div style="font-family:arial,sans-serif;font-size:13px">If anyone has direct experience in this area I'm open to thoughts and suggestions. Also, if anyone knows people who I should contact it would be awesome if you could make an introduction. We have a very large volume of data that I hope can significantly improve the quality of OSM.</div>
<div style="font-family:arial,sans-serif;font-size:13px"><br></div><div style="font-family:arial,sans-serif;font-size:13px">Best,</div><div style="font-family:arial,sans-serif;font-size:13px"><br></div><div style="font-family:arial,sans-serif;font-size:13px">
Jed Horne<br>Uber Technologies</div></div>
</div><br></div></div></div>
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