iDriveSafe

Project Info

Team 1552 thumbnail

Team Members


Summer , Carmel , Paul , Connor and 1 other member with an unpublished profile.

Project Description


iDriveSafe is a smartphone application concept that uses GPS to allow you to safely navigate through Queensland roads. It uses Queensland data sets of motor vehicle accidents and the cause, to generate hazardous locations across the state. The app is designed to safely alert drivers of the hazards in the current area of travel, which changes depending on the location.

The following factors that contribute to road crashes are used as the basis of the app:

Speed

Fatigue

Poor road surfaces

Wildlife

Type of accident (head-on, rear end, tail-gating etc)

Road work locations

Lighting conditions

The app integrates data from above compared to the location to create specific alerts/notifications for specific areas.

Additional features of the app are:

Integrates the speed the car is traveling (with the smartphone) with an alert when the car is exceeding the speed.

Option to add sensors to the front and rear of the car to allow distance notifications for tail-gating,and lighting.


Data Story


The data sets were analysed in MS Excel and QGIS to cross-reference and determine what the main contributing factors are in road accidents.

Factors in road crashes data set

Used to determine what factors contribute to road crashes.

Driver Demographics data set

Used to determine the age ranges that are involved in the highest number of accidents.

Road Crash Locations data set

Used to find most the most common type of accident (rear-end, head-on, etc)

Used spatial data to produce maps

Degraded areas along the State-controlled road network – Queensland data set

Road reserve land degradation spatial data was crossed referenced with crash data to determine if there was a correlation.


Evidence of Work

Video

Project Image

Team DataSets

Degraded areas along the State controlled road network - Queensland

Description of Use Road reserve land degradation spatial data was crossed referenced with crash data to determine if there was a correlation.

Data Set

Factors in road crashes

Description of Use Used to determine what factors contribute to road crashes.

Data Set

Driver Demographics

Description of Use Used to determine the age ranges that are involved in the highest number of accidents.

Data Set

Road Crash Locations

Description of Use Used to find most the most common type of accident (rear end, head-on, etc)

Data Set

Challenge Entries

Reimagining Digital Government Services

How can we re-imagine digital government services in Australia to enable a seamless experience for people of all abilities.

Eligibility: Must use at least one open dataset.

Go to Challenge | 26 teams have entered this challenge.

Digital Economy

What can we learn from open data that will help Queenslanders grow the digital economy during the COVID-19 recovery?

Eligibility: Must use at least one dataset from data.qld.gov.au.

Go to Challenge | 3 teams have entered this challenge.

Road Safety

What can we do to minimise the number of road crashes on Queensland roads?

Eligibility: Must use at least one dataset from data.qld.gov.au.

Go to Challenge | 11 teams have entered this challenge.

Building Citizen’s Trust in this Digital World

In order to access online services, citizens need to give their consent for their data to be used. How do you gain their trust that their data will be used appropriately?

Go to Challenge | 8 teams have entered this challenge.