GridReaper

Project Info

GridReaper thumbnail

Project Description


GridReaper is a congestion forecaster for commuters. It provides commuters an accurate forecast of congestion in various transportation methods in the following days, weeks, and months.


Data Story


Starting from available usage data on transportation methods and routes, we applied regression techniques to determine functional relationships with other datasets we considered unusual, like weather time-series.

The resulting regression models are then made available as services for GridReaper to use.


Evidence of Work

Video

Homepage

High-Res Image

Team DataSets

Long-term temperature record

Description of Use: We used this dataset to help us map out correlations between congestion and maximum temperature per given area such as New South Wales and Queensland.

Data Set

Public transport opal all trip all modes

Description of Use: We used this dataset to help us map out correlations between the max temperature in a given area to all the trips that have been made on a monthly basis.

Data Set

Data and Networks

Description of Use: We used this dataset to help us map out correlations between congestion and maximum temperature per given area such as New South Wales and Queensland.

Data Set

Challenges

Public Transport for the Future

Region: International

Challenge

Reducing CBD Traffic Congestion

Region: International

Challenge

What are the key levers that can be affected to ease congestion in NSW?

Region: New South Wales

Challenge

🌟 What's the coolest way to travel across the city?

Region: New South Wales

Challenge

🌟 Climate Change Issues in Hobart

Region: Tasmania

Challenge

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