Congestion Management System

Project Info

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Team Members


4 members with unpublished profiles.

Project Description


We will use historic data sets that cover parking duration/occupancy, pedestrian traffic, congestion maps, and air quality, to establish a base line for congestion in the Noosa’s Hastings Street area. We will then develop vehicle counters to collect data in real time, to provide a live feed on car parking availability in the local area. We will also use air quality sensors to provide a live feed of the level of vehicle emissions in Hastings Street.
Using roadside signage and online updates, visitors will be advised to divert to public transport or park’n’ride locations when there is low parking availability, or poor air quality due to excessive vehicle emissions, in Hastings Street.


Data Story


We utilised Noosa Parking occupancy and duration of stay reports from early 2018, additionally source data from google live traffic was used for this peak tourism and business time.

DATA SETS WERE PROVIDED VIA EMAIL FROM NOOSA HUB !


Evidence of Work

Video

High-Res Image

Team DataSets

Google Live traffic feed

Description of Use This live data was checked during the day to find trends in demand and congestion levels. This data was also used to correlate between estimated travel times and actual.

Data Set

Live traffic cameras on the Sunshine Coast

Description of Use This live feed and historical images were used to analyse the traffic during peak demand and see how the congestion affected traffic flow.

Data Set

Queensland Live traffic

Description of Use Data was used to analyse trends and congestion levels on Hastings St Prescient. Data was also used to check off peak trends and peak business and tourism season trends

Data Set

Air Quality readings

Description of Use Data was used for checking readings of Air Quality and their link to congested areas with high traffic flow

Data Set

Smart Parking

Description of Use Data sets were queried to check the frequency and common trends of the parking in the congested areas. This data was used to determine car park trends within peak times and how the use of these parking spots with the aid of google maps can lead to congestion in busy areas.

Data Set

Challenges

Bounty: Mix and Mashup

How can we combine the uncombinable?

Go to Challenge | 61 teams have entered this challenge.

Healthy Communities Challenge

How might we assist councils to build healthier and stronger communities?

Go to Challenge | 49 teams have entered this challenge.

Sunshine Coast Sustainability

How can we preserve our great Sunshine Coast for the next generation?

Go to Challenge | 12 teams have entered this challenge.

Out of the Box - New take on data for regional development

Use an existing data set outside its normal context to both display and encourage innovate solutions to regional problems and promote and foster regional economic development.

Go to Challenge | 11 teams have entered this challenge.

Bounty: Is seeing truely believing?

How can we tell a story with visualisations, that speaks the truest representation of our data?

Go to Challenge | 28 teams have entered this challenge.

Sunshine Coast Community

How can we raise the social capital of the Sunshine Coast?

Go to Challenge | 14 teams have entered this challenge.

More than apps and maps: help government decide with data

How can we combine data to help government make their big and small decisions? Government makes decisions every day—with long term consequences such as the location of a school, or on a small scale such as the rostering of helpdesk staff.

Go to Challenge | 58 teams have entered this challenge.