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Team Name:

AUSR


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Evidence of Work

SmartFreight

Project Info

Team Name


AUSR


Team Members


Jessie , Nirish , David Truong , Priyanka

Project Description


Project Description: https://docs.google.com/document/d/16tLKxM1PNB7sAPGMHSbf07OKavkGk0j9/edit?usp=sharing&ouid=101073660354177681714&rtpof=true&sd=true

Australia relies on freight to keep the economy moving. The transport and logistics sectors of the Australian economy are estimated to contribute 14.5 per cent of GDP, therefore the strategic planning and performance of freight are crucial in economic activity through investment in warehousing, road, rail, sea and air transport.

But how do we know where freight is moving to, from and around Australia? How they are being moved and if there are any physical bottlenecks for an efficient movement of freight, how can freight operators plan out their route to avoid worsening the traffic conditions?

A fairly accurate visualisation of where freight goes: Freight operators and government want to know what and where are the opportunities for freight movements to be more efficient and safer.


#freight #toll

Data Story


Most datasets such as estimates of freight travelling to and from a highway, or planned roadworks and rest stop for truck drivers are static data. They are not updated daily and they are not accurately providing a predictive model for truck drivers to plan out their routes.

Throughout Govhack weekend and our brainstorming sessions, we realize one of the data that gets updated constantly and daily when there is traffic coming through them is tolls. The fact is, most large-size commercial vehicles use toll highway. They do not have an option to use all other road networks but instead only large highways with multiple lanes and generous height clearance for them to move tons of goods.

The question apparently then comes to mind:
“How do we utilize toll data along with National Freight Data Hub to create a predictive model in estimating traffic flow characteristics in highway usage in Australia?”

We proposed Smartfreight, a visualisation tool that utilizes toll data and National Freight Data Hub datasets to compute the most efficient route planning for freight operators.


Evidence of Work

Video

Homepage

Team DataSets

NSW Toll Road Data - Westlink M7

Description of Use This dataset is used to identify the data collected by toll companies. We use this to identify that toll companies collect information such as date, GPS coordinates, TollPointID, vehicle class…etc… that travel through the toll highway.

Data Set

Roadworks endpoint NSW

Description of Use Roadworks endpoint NSW is the Live Traffic Hazards API using GPS coordinates to integrate in our product prototype.

Data Set

Freight vehicle congestion in Australia’s five major cities – 2020

Description of Use Identify the time of peak commuting periods and freight vehicle average travel times and delay

Data Set

Heavy Vehicles Rest Areas

Description of Use Identify exemplary resting areas for heavy vehicles which can be used in producing the prototype

Data Set

Challenge Entries

Pricing public transport

How might we price public transport to balance capacity supply and patronage demand?

Eligibility: Must use at least one ACT Government data set, either from the Open Data Portal (data.act.gov.au) or the Geospatial Catalogue (actmapi-actgov.opendata.arcgis.com).

Go to Challenge | 10 teams have entered this challenge.

What’s going where?

Help transport planners find the detailed locations that different types of freight are coming from and going to

Eligibility: Must use at least one dataset from the National Freight Data Hub.

Go to Challenge | 7 teams have entered this challenge.

Flood, fire and the future: the road to resilience

Help transport planners find and predict which roads will be blocked or damaged in the next flood or bushfire

Eligibility: Must use at least one dataset from the National Freight Data Hub.

Go to Challenge | 11 teams have entered this challenge.