Problem: If people cannot evaluate in real-time the CO2 emissions associated with their transportation choices, they cannot consider this impact on the environment in their mobility decisions. Technology: The invention presents a novel method to estimate real-time CO2 emissions using data from mobile phone sensors (accelerometer, GPS). An algorithm uses a Decision Tree classification method to determine the userΓÇÖs transportation mode using inertial information from the phone sensors. A second algorithm computes the distance travelled using the GPS and internet map services. The classification algorithm has been developed and tested for mobile phones based on Android operating systems. The data is made relevant to the user by converting it into CO2 emissions. Christopher Noble crn@mit.edu
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