The Keep Western Australia Moving Prize

Supported By: 
Main Road WA

The solution which best improves the mobility of people or the efficiency of freight movement in WA.


Eligibility Criteria

Use of relevant dataset available through the Western Australian Government's data portal (

Rest Stop Finder

Team Name: 

A mobile application that allows a user to choose two WA towns and view the rest stops and distances between them. Intended to allow drivers undertaking large journeys to better plan their trip in order to minimise fatigue and improve road safety.

Data used comes from the Road Stopping Place (MRWA-513) dataset, and uses the GPS locations of the rest stops in addition to pre-chosen routes between the cities in order to generate a line-based visual representation of the distance between two chosen locations, and how the rest stops are spaced over that journey.

Point Break - Crowdsourcing Beach Intelligence | On Demand Spatial Awareness

Team Name: 
Point Break

Crowdsourcing beach intelligence to encourage participation of recreational activities and utilisation of our coastal areas with real time spatial awareness.

## Our aims:

* Tackle beach safety with a solution that fits into peoples current habits (not just a shark spotting app).
* Encourage activity and engagement around beaches and beach communities.
* Drives collaboration and sharing of local knowledge.
* Feed useful data back into industry/government.

## Problem Statement

WA Traffic Analysis

Team Name: 
Bit Byte Bit

We are Team Bit Byte Bit from Perth, Western Australia. At the 2016 Australian GovHack competition, we have taken the direction of crunching data obtained from Main Roads Western Australia, Bureau of Meteorology and Insurance Commission of Western Australia. Our aim is to produce an analysis report on Western Australia's motor vehicle accident rate based on traffic volume, weather conditions and motor injury insurance data.

We dwell into:

1. Correlation between Rainfall and Traffic Incidents

2. WA Traffic Incident with No Rain

E-Map: Spatio-temporal modelling of traffic and emissions

Spatio-temporal modelling, prediction, analysis, new knowledge, data checking and geovisulisation system
Team Name: 

We have combined traffic volume data with NASA satellite data to predict traffic-induced emissions across the Perth Metro region.

First, we use the traffic data from the Main Roads WA data on 988 road sections in the Perth Metro region. From this, we can see the traffic volume, speed, and type, such as freight or private vehicle. Then, we use modelling to predict the volume and speed of traffic on the rest of the roads in the Perth metro region: over 10,000 road segments in total.

The Transac Initiative

Crash Test Dummies Team
Team Name: 
Crash Test Dummies


Big data analysis has often been encouraged at GovHack events over the past few years, but finding the data and sanitizing in preparation for a hack typically consumes the majority of the weekend and leaves little time for creating a finalized product, hack or prototype. This makes us sad, especially as university students who often go through this mindless and unproductive leg work as part of the typical research process. We love the open data policy the Government is championing, but like wingy kids, we're always complaining for more. Yeh, sorry.