Bounty: Mix and Mashup
How can we combine the uncombinable?
Go to Challenge | 61 teams have entered this challenge.
The Hackermen
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.
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 !
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.
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.
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
Description of Use Data was used for checking readings of Air Quality and their link to congested areas with high traffic flow
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.
Go to Challenge | 61 teams have entered this challenge.
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Eligibility: Must use at least one Sunshine Coast region data set.
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Go to Challenge | 28 teams have entered this challenge.
Eligibility: Must use at least one Sunshine Coast region data set.
Go to Challenge | 14 teams have entered this challenge.
Eligibility: Use at least two data sets (at least one from data.gov.au) to help government make a decision that will improve services for people. Any code produced for your entry must be published on github under an open license. If your entry is not software, you will need to show the working behind your use of data along with any calculations and analysis you did. You must indicate which specific government agency (at any level of government) can take action based on your entry.
Go to Challenge | 58 teams have entered this challenge.