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EMission

E-Mission is an app that allows you to track your travel modes and your travel carbon footprint, and compare them against our other users

E-Mission is an app that allows you to track your travel modes and your travel carbon footprint, and compare them against our other users

EMission

by Kalyanaraman Shankari
EMission
EMission
EMission

What is it about?

E-Mission is an app that allows you to track your travel modes and your travel carbon footprint, and compare them against our other users.

EMission

App Details

Version
2.7.1
Rating
NA
Size
111Mb
Genre
Travel Lifestyle
Last updated
October 19, 2018
Release date
July 28, 2016
More info

App Screenshots

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App Store Description

E-Mission is an app that allows you to track your travel modes and your travel carbon footprint, and compare them against our other users.

This app has been developed by students from the Computer Science and Transportation Engineering departments at UC Berkeley, and is used for studies conducted by transportation researchers, focusing primarily on sustainable transportation.

Continued use of GPS running in the background can dramatically decrease battery life.

Therefore, we automatically turn the GPS off if you are not moving. This reduces the battery drain caused by location tracking significantly - our tests show that this app results in 10 - 20% additional drain over 24 hours.

If this is still unacceptably high, you can switch to medium accuracy tracking, which should result in ~ 5% additional drain.

For more details on the power/accuracy tradeoff, please see our Technical Report.
https://www2.eecs.berkeley.edu/Pubs/TechRpts/2016/EECS-2016-119.pdf

This is an Open Source project that is available on github under an BSD license.
If you would like to see exactly what data we collect and how we analyze it, check our repos
https://github.com/e-mission/e-mission-phone.git
https://github.com/e-mission/e-mission-server.git

For more details on the implementation of when we turn tracking on and off, please see the source code for our finite state machine.
https://github.com/e-mission/e-mission-data-collection/blob/master/src/ios/Location/TripDiaryStateMachine.m

We welcome contributions and pull requests.

Thank you for helping us better understand the carbon footprint of transportation, and how to reduce it!

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