LYFE - Lower Your Fuel Emissions

Project Info

Project Description


An initiative created by two passionate Software Engineering students from the University of Canberra.

Rethink how you commute and help reduce your environmental impact.

Calculate your commute's carbon footprint and learn about the possible alternatives.


Data Story


Statistics about Canberra's commuters were used to estimate Carbon emissions p.a to be used as a comparison with the user's derived commute distance using Google Maps.
Alternatives are suggested, such as breaking up an entirely car commute to sharing the Carbon Emissions with other travelers by suggesting Park & Ride Locations.


Evidence of Work

Video

Homepage

Team DataSets

Park And Ride Locations

Description of Use: Used to suggest alternative routes to utilise both Bus & Car trips, rather than just using a car.

Data Set

Average Passenger Boardings By Service Type 2016-17

Description of Use: Used to calculate carbon footprint

Data Set

ACTQP HTS - Trip count Categorised by Method of Transport

Description of Use: Used to calculate Carbon Footprint

Data Set

ACTQP HTS - Average Trip Distance Categorised by Transport Method and Trip Purpose

Description of Use: Used to calculate Carbon Footprint

Data Set

Challenges

🌟 Canberra 2029 – Inclusive; Progressive; Connected

How do we use data from the past to predict a better future for Canberra? How do we best support the diversity of our community? Optimise the way we travel and transport goods throughout our city? Predict the jobs of the future – and the skills needed for them? Connect our citizens with their environment?

Go to Challenge | 21 teams have entered this challenge across all checkpoints that have passed.

Public Transport for the Future

How might we combine data with modern technologies - such as AI/ML, IoT, Analytics or Natural Language interfaces - to better our public transport services. Outcomes could take the form of new commuter experiences, reduced environmental impact, or helping plan for the future.

Go to Challenge | 45 teams have entered this challenge across all checkpoints that have passed.

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