Future Freight

Project Info

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Team Name


Team Members

Michael , Sam , Riley , Tyson

Project Description

Using flood, fire, congestion and rest stop data the most resilient and cost-effective route can be determined while also offering live service updates depending on current road conditions to ensure safety!

Team Members (UniSC Sippy Downs):
Samuel Jorgensen
Michael Calzada
Riley Ellacott
Tyson Holscher

#floods #freight #fire #logistics #safety #telematics #rest stops #congestion #cost-effective routes #road to resilience #natural disasters #road closures #trucks #trains #transport #planes #bushfires #cyclones #australia #live service

Data Story

Firstly geometries data was converted from linestring to vector columns and plotted in MATLAB using the geoscatter function to map 106 main roads/motorways used by freight companies over Australia. Freighting companies can use this to identify alternative routes in the case of a natural disaster. Using the same method, 2000 rest stops were plotted all over Australia using latitude and longitude data on to the same geomap. Hence safe stopping locations for truck drivers can be located.

800'000 data entries from the 2020 NASA hotspot data was plotted on the same geomap using the geodensity function to show the major hotspots and severity of bushfires. This provides a visual representation of the major bushfire areas recorded over the course of a year.

Finally flood location and severity data was manually extracted from various flood maps and added to the geomap to demonstrate the ability to display affected areas and road closures.

Overall, over 1 million data entries were expertly analysed using excel and MATLAB programs. Which in turn created a interactive map that can be used to predict road closures due to natural disasters and provide safe alternative routes or resting areas.

Evidence of Work


Project Image

Team DataSets

NASA Active Fire Data

Description of Use Bushfire hotspot data was imported into MATLAB and plotted using geodensity function to create a geomap that indicates the location and severity of bushfires in Australia over the course of a year.

Data Set

Department of Resources - QLD FloodCheck

Description of Use By using a multitude of flood maps, key areas of flooding along main freight routes have been plotted in MATLAB on a geomap. This will allow future road closures do to flooding to be predicted and relayed to freight companies or truck drivers.

Data Set

BITRE Truck telematics

Description of Use Firstly road geometry data was meticulously reformatted from text to columns of latitude and longitude co-ordinates. This was imported into MATLAB to plot the main freight routes of Australia. Route metrics and time data could further be incorporated to allow detail time and cost analysis for alternate routes.

Data Set

Heavy Vehicle Rest Areas

Description of Use CSV file converted to excel format. Reformatted to align latitude and longitude data into columns. Imported data into MATLAB to create a geoscatter plot to allow easy identification of rest stops for truck drivers. This can be used to avoid truck drivers becoming trapped at unsafe rest stops.

Data Set

Challenge Entries

Flood, fire and the future: the road to resilience

Help transport planners find and predict which roads will be blocked or damaged in the next flood or bushfire

Go to Challenge | 11 teams have entered this challenge.

What’s going where?

Help transport planners find the detailed locations that different types of freight are coming from and going to

Go to Challenge | 7 teams have entered this challenge.

Alternate transport

How can we make NSW a cycling-friendly state?

Go to Challenge | 12 teams have entered this challenge.

Best Creative Use of Data in Response to ESG (AU)

How can you showcase data in a creative manner to respond to ESG challenges? How can we present and visualise data to stimulate conversation and promote change?

Go to Challenge | 31 teams have entered this challenge.