holy_calamity writes "A team at Carnegie Mellon University has begun a project seeking to design a kit to cheaply convert secondhand cars into cheap, electric ones suitable for commuting, if little else. They hope to rely heavily on smart management software to extract as much efficiency as possible from regenerative braking, and knowledge of terrain from GPS tracking. But they are hampered by a lack of public data on how commuters actually drive. Their solution is to appeal to GPS users to upload .gpx log files of their commute to the team's site. The data is plugged into a simulator that reveals how much cheaper an electric car could do your journey, and an anonymized public dataset will be created. A programming contest will award a production electric car to the coder who designs the best management algorithm using it."
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