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Team Name:

AccoutureRockers

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Evidence of Work

NextGen Transport - Smart Commute

Project Info

AccoutureRockers thumbnail

Team Name

AccoutureRockers

Team Members

Karthick and 9 other members with unpublished profiles.

Project Description

Smartcommute is a better means of nextGen transport which involves on-demand services as well as eco-friendly transport service for the future.

Evidence of Work

Video

Project Image

Team DataSets

Public Transport data set

Data Set

Vehicle growth

Description of Use Identify vehicles coming on road because of population growth

Data Set

Crashes

Description of Use Identify crashes in the last fiveyears because of congestion or traffic

Data Set

VicRoads Traffc volume

Description of Use Identify number of vehicles on the road during peak and offpeak times

Data Set

Challenge Entries

Immerse yourself in Ballarat

Ballarat is rich with history and adventure. Visitors may come alone, with friends, or as a family. Some from the other side of the world and other, just down the road. How can we help visitors plan their adventure around the City of Ballarat?

Eligibility: Use at least 1 City of Ballarat dataset from data.gov.au. Use at least 1 transport dataset.

Go to Challenge | 5 teams have entered this challenge.

Australia’s Future Employment

Choose one of the following questions to address: 1. How can recent and future changes in the labour market help prepare young people for job opportunities? 2. What can we learn from case studies of regional labour markets? For example, what does rapid change in the industries or occupations within a region tell us about the needs of employers/workers in other regional labour markets

Eligibility: Use one or more datasets from the Labour Market Information Portal

Go to Challenge | 38 teams have entered this challenge.

Reducing CBD Traffic Congestion

How to reduce traffic congestion or parking problems in CBD?

Eligibility: Use any open dataset to support your entry.

Go to Challenge | 39 teams have entered this challenge.

Public Transport for the Future

How might we combine data with modern technologies - such as AI/ML, IoT, Analytics or Natural Language interfaces - to better our public transport services. Outcomes could take the form of new commuter experiences, reduced environmental impact, or helping plan for the future.

Eligibility: Use any open dataset to support your entry.

Go to Challenge | 45 teams have entered this challenge.

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